how to forecast sales business plan

The Last Guide to Sales Forecasting You’ll Ever Need: How-To Guides and Examples

By Kate Eby | January 26, 2020 (updated August 26, 2021)

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Sales forecasts are a critical part of your business planning. In this comprehensive guide, you’ll learn how to do them correctly, including explanations of different forecasting methods, step-by-step tutorials, and advice from experienced finance and sales leaders.

Included on this page, you'll find details on more than 20 sales forecasting techniques , information regarding how to forecast sales for new businesses and products , a step-by-step guide on how to forecast sales , and a free sales forecast template .

What Is Sales Forecasting?

When you produce a sales forecast , you are predicting what your sales or revenue will be in the future. An accurate sales forecast helps your firm make better decisions and is arguably the most important piece of your business plan. 

A sales forecast contrasts with a sales goal . The former is the realistic representation of what you believe will occur, while the latter is what you want to occur. Forecasts are never perfectly accurate, but you should be as objective as possible when creating a sales forecast. Goals, on the other hand, can be based on optimistic or motivational targets.

Because the sales forecast is critical to business planning, many different stakeholders in a company (beyond sales managers and representatives) rely on these estimates, including human resources planners, finance directors, and C-level executives. 

In this article, you’ll learn about different sales forecasting methods with varying levels of sophistication. The most basic method is called naive forecasting , which uses the prior period’s actual sales for the new period’s forecast and does not apply any adjustments for growth or inflation. Naive forecasts are used as comparative figures for more robust methods.

What Is Sales Planning?

A sales plan describes the goals, strategies, target customers, and likely hurdles for your sales effort. The sales plan defines your sales strategy and the method of execution you will use to achieve the numbers in your sales forecast.

Overview of Sales Forecasting Steps

Your sales forecasting model can ultimately become very sophisticated, but to grasp the basics, you should first gain a high-level understanding of what is involved. There are three primary steps to getting started:

• Decide which forecasting method or technique you will use. Also, determine the time period for your forecast. Later in this guide, we will review different methods of forecasting sales, including how to know which is best for your business.  
• Gather the data to plug into your forecast model. The data points will vary by method, but will almost always include your actual past sales and current growth rate.
• Pick a tool to support your forecasting effort. For learning purposes, you can start with pencil and paper, but soon after, you’ll want to take advantage of digital solutions. Common tools include spreadsheets, accounting software, and customer relationship management (CRM) or sales management solutions.

As you get going, remember not to be overly focused on complex formulas. Do regular reality checks to make sure your sales forecasts accord with common sense. Bounce forecasts off sales reps to get realistic feedback, and revise.

You will likely achieve greater accuracy if you build your forecasts based on unit sales wherever possible, because pricing can move independently from unit sales. Use data if you have it.

Benefits and Importance of Sales Forecasting

Sales forecasting helps your business by giving you data to make decisions concerning allocating resources, assigning staff, and managing cash flow and overhead. Using this data reduces your risk and supports your growth. 

Your sales forecast enables you to predict both short and long-term performance and customer demand for your product. In the short term, having a sales forecast makes it easy for you to spot when actual sales are not meeting estimates and gives you an opportunity to make corrections early in the period.

The forecast guides how much you spend on marketing and administration, and the projections generate your sales reps’ objectives. In this way, sales forecasts are an important benchmark for gauging the performance of your sales reps. 

Sales forecasts also lead to better management of inventory levels. With a good idea of how much product you will sell, you can stock enough to meet customer demand without missing any sales and without carrying more than you need. Excess inventory ties up capital and reduces profit margins. 

In the long term, sales forecasts can help you prepare for changes in your business. For example, you might see that within a few years, your company will require more manufacturing capacity to meet growing sales. To expand capacity, you may need to build a new factory, so now you can start planning how you will pay for it. Predictive sales forecasting is a critical part of your presentation if you are seeking equity capital from investors or commercial loans for expansion. 

In short, sales forecasting helps your business avoid surprises, so you aren’t making decisions in a crisis environment. Companies with trustworthy sales forecasts see a 10 percentage point  greater increase in annual revenues compared to counterparts without, according to research from the Aberdeen Group .

What Makes a Good Sales Forecast?

The most important quality for a sales forecast is accuracy. But, the benefits of accuracy must be weighed against the time, effort, and expense of the forecasting technique.

Useful sales forecasts are also easily understood and often include visual elements, such as charts, graphs, and tables, to make important trends visible. 

Ideally, you can quickly build a highly reliable sales forecast with simple, economical methods. The ultimate forecast method would automatically (i.e., without manual intervention) fetch the relevant data and make predictions using an algorithm finely tuned to your business. 

In reality, the forecasting process is more time consuming and subjective. Sales forecasts often depend on reps’ assessments of how likely their prospects are to close, and perceptions vary widely. (A conservative rep’s 60 percent probability may be understated, while another rep’s 60 percent may be overly optimistic.) 

Sales managers, who are usually responsible for forecasting, spend a lot of time factoring in these nuances and other market factors when calculating forecasts. 

Surprisingly, spending more time on forecasting does not always improve accuracy. According to research from CSO Insights, sales managers who spend 15 to 20 percent of their time producing their forecast had win rates for approximately 46.5 percent of deals. But, when they spend more than 20 percent of their time on forecasting, the win rate declined by more than two percentage points. 

An axiom of forecasting is that accuracy is highest during time periods that are close at hand and lowest during those that are far into the future. Short-term forecasts draw upon the following: deals that are already in the sales pipeline, the current economic environment, and actual market trends. So, the data underlying short-term forecasts is more reliable.

Forecasting for distant time periods requires bigger guesses about opportunities, demand, competitor activity, and product trends, so it makes sense that the forecast becomes less accurate the further into the future you go. (This concept applies to many companies, especially those that are young and growing; the concept becomes more relevant for all businesses at three years and beyond.) Bear this thought in mind when you look at your sales forecast in order to make long-term decisions.

Sales Forecasting Methods: Qualitative and Quantitative

Sales forecasting methods break down broadly into qualitative and quantitative techniques. Qualitative forecasts depend on opinions and subjective judgment, while quantitative methods use historical data and statistical modeling.

Qualitative Methods for Sales Forecasting

Sales forecasting often uses five qualitative methods. These are based on different ways of generating informed opinions about sales prospects. Creating and conducting these kinds of surveys is often expensive and time intensive. These five qualitative methods include the following: 

• Jury of Executive Opinion or Panel Method: In this method, an executive group meets, discusses sales predictions, and reaches a consensus. The advantage of this method is that the result represents the collective wisdom of your most informed people. The disadvantage is that the result may be skewed by dominant personalities or the group may spend less time reflecting.
• Delphi Method: Here, you question or survey each expert separately, then analyze and compile the results. The output is then returned to the experts, who can reconsider their responses in light of others’ views and answers. You may repeat this process multiple times to reach a consensus or a narrow range of forecasts. This process avoids the influence of groupthink and may generate a helpful diversity of viewpoints. Unfortunately, it can be time consuming.  
• Sales Force Composite Method: With this technique, you ask sales representatives to forecast sales for their territory or accounts. Sales managers and the head of sales then review these forecasts, along with the product owners. This method progressively refines the views of those closest to the customers and market, but may be distorted by any overly optimistic forecasts by sales reps. The composite method also does not take into account larger trends, such as the political or regulatory climate and product innovation. 
• Customer Surveys: With this approach, you survey your customers (or a representative sample of your customers) about their purchase plans. For mass-market consumer products, you may use market research techniques to get an idea about demand trends for your product.  
• Scenario Planning: Sales forecasters use this technique most often when they face a lot of uncertainty, such as when they are estimating sales for more than three years in the future or when a market or industry is in great flux. Under scenario planning, you brainstorm different circumstances and how they impact sales. For example, these scenarios might include what would happen to your sales if there were a recession or if new duties on your subcomponents increased prices dramatically. The goal of scenario planning is not to arrive at a single accepted forecast, but to give you the opportunity to counter-plan for the worst-case scenarios.

Quantitative Methods for Sales Forecasting

Quantitative sales forecasting methods use data and statistical formulas or models to project future sales. Here are some of the most popular quantitative methods:

• Time Series: This method uses historical data and assumes history will repeat itself, including seasonality or sales cycles. To arrive at future sales, you multiply historical sales by the growth rate. This method requires chronologically ordered data. Popular time-series techniques include moving average, exponential smoothing, ARIMA, and X11. 
• Causal: This method looks at the historical cause and effect between different variables and sales. Causal techniques allow you to factor in multiple influences, while time series models look only at past results. With causal methods, you usually try to take account of all the possible factors that could impact your sales, so the data may include internal sales results, consumer sentiment, macroeconomic trends, third-party surveys, and more. Some popular causal models are linear or multiple regression, econometric, and leading indicators.

Sales Forecasting Techniques with Examples

In reality, most businesses use a combination of qualitative and quantitative methods to produce sales forecasts. Let’s look at the common ways that companies put sales forecasting into action with examples.

Intuitive Method

This forecasting method draws on sales reps’ and sales managers’ opinions about how likely an opportunity is to close, so the technique is highly subjective. Estimates from reps with a lot of experience are likely to be more accurate, and the reliability of the forecast requires reps and managers to be realistic and honest.

This method can be especially helpful if you do not have historical data or if you are assessing  new prospects early in your funnel. In these cases, a rep’s gut feeling after initial contact can be a good indicator. If you are a manager, you will review reps’ estimates with an eye for any outliers and work with those reps to make any necessary adjustments. 

Here is an example of the intuitive method in action: You manage a team of four sales reps. You go to each one and inquire about the leads they are nurturing. You ask each rep which opportunities they believe they will win in the next quarter and how much those sales will be worth. John, your strongest rep, tells you $175,000. Alice, another strong performer, says $115,000. Bob, who is in his second year at your company, reports $85,000. Jennifer, a recent college graduate, projects $100,000. You calculate the total of those forecasts and arrive at an intuitive forecast of $450,000. However, you suspect Jennifer’s forecast is unrealistic, because she is inexperienced, so you ask her more questions. Based on what you learn, you decide that only half of Jennifer’s deals are likely to close, so you reduce her contribution to $50,000 and revise your total quarterly forecast to $400,000.

Scenarios Method

Scenario forecasts are qualitative and involve you projecting sales outcomes based on a variety of assumptions. This process can also be a helpful business planning exercise, because once you identify major risks or uncertainty for your company, you can develop action plans to deal with these circumstances if they arise.

Scenario forecasts require an in-depth knowledge of your business and industry, and the quality of the forecast will vary with the expertise of the person or group who prepares the estimate.

To create a scenario forecast, think about the key factors that affect sales, external forces that could influence the outcome, and major uncertainties. Then, write a narrative and numerical description of how the scenario would play out under various combinations of these key factors, external forces, and uncertainties.

Here is an example of the scenarios method in action: Your company sells components for military vehicles. You notice that the most impactful things your sales reps do are meeting with procurement officers in the defense departments of major nations and holding factory tours and product demonstrations for them. These are your key factors. 

The external forces are the number of tenders or requests for proposals that military procurement departments announce, and the value of those items. The risk of conflict in various parts of the world, scarcity of your raw materials, and trends in budget authorizations for defense by major countries are your critical uncertainties. 

You look at how your key factors, external factors, and major uncertainties might combine. One scenario might entail the outcome if your reps increased the number of meetings and product events by 20 percent, the value of U.S. tenders launched rose by six percent, and France decreased defense spending by two percent. 

Under this scenario, you might forecast a six percent increase in unit sales resulting from the following: 

• Having more in-person sales contacts should boost sales by five percent based on past performance.
• You can increase revenue by three percent due to greater U.S. tender opportunities and your current market share.
• Major customer France will not purchase anything, reducing sales by two percent.

Sales Category Method

The category forecasting method looks at the probability that an opportunity will close and divides opportunities into groups based on this probability. The technique relies somewhat on intuition, as does the intuitive method, but the sales category method brings more structure and discipline to the process.

The categories that each company uses vary widely, but they correspond broadly to stages in the sales pipeline. These are some typical labels and definitions:

• Omitted: The deal has been lost or the prospect is no longer engaging. 
• Pipeline: The opportunity will not realistically close during the quarter.
• Possible, Best Case, Upside, or Longshot: There is a realistic possibility that the deal could close at the projected value in the quarter if everything falls into place, but this is not certain. Overall, fewer than half of the opportunities in this group end up closing in the quarter at the planned value.
• Probable or Forecast: The sales rep is confident that the deal will close at the planned value in the quarter. Most of these opportunities will come to fruition as expected.
• Commit or Confident: The salesperson is highly confident that the deal will close as expected in this quarter, and only something extraordinary and unpredictable could derail it. The probability in this category is 80 to 90 percent. Any deal that does not close as forecast should generally experience only a short, unanticipated delay, rather than a total loss.
• Closed: The deal has been completed; payment and delivery have been processed; and the sale is already counted in the quarter’s revenue. 

To compile your forecast, look at the combined value of the potential deals in the categories under three scenarios:

• Worst Case: This is the minimum value you can anticipate, based on the closed and committed deals. If you have very good historical data for your sales reps and categories and feel confident making adjustments, such as counting a portion of probable deals, you may do so, but it is important to be consistent and objective.
• Most Likely: This scenario is your most realistic forecast and looks at closed, committed, and probable deal values, again with possible adjustments based on historical results. For example, if you have tracked that only 60 percent of your probable deals tend to close in the quarter, adjust their contribution downward by 40 percent.
• Best Case: This is your most optimistic forecast and hinges on executing your sales process perfectly. You count deals in the closed, commit, probable, and possible categories, with adjustments based on past performance. The possible category, in particular, requires a downward adjustment.  

As the quarter or period progresses, you revise the forecast based on updated information. This method can quickly get cumbersome and time consuming without an analytics solution.

Here is an example of the sales category method in action: You interview your sales team and get details from the reps on each deal they are working on. You assign the opportunities to a category, then make adjustments for each scenario based on past results. For example, you see that over the past three years, only half the deals in the possible category each quarter came to fruition. Here’s what the forecast looks like:

Top-Down Sales Forecasting

In top-down sales forecasting, you start by looking at the size of your entire market, called the total addressable market (TAM), and then estimate what percentage of the market you can capture. 

This method requires access to industry and geographic market data, and sales experts say top-down forecasting is vulnerable to unrealistic objectives, because expectations of future market share are often largely conjecture.

Here is an example of top-down sales forecasting in action: You operate a new car dealership in San Diego County, California. From industry and government statistics, you learn that in 2018, 112 dealers sold approximately 36,000 new cars and light trucks in the county. You represent the top-selling brand in the market, you have a large sales force, and your dealership is located in the most populous part of the county. You estimate that you can capture eight percent of the market (2,880 vehicles). The average selling price per vehicle in the county last year was $36,000, so you forecast gross annual sales of $103.7 million. From there, you determine how many vehicles each rep must sell each month to meet that mark.

Bottom-Up Sales Forecasting

Bottom-up sales forecasting works the opposite way, by starting with your individual business and its attributes and then moving outward. This method takes account of your production capacity, the potential sales for specific products, and actual trends in your customer base. Staff throughout your business participates in this kind of forecasting, and it tends to be more realistic and accurate. 

Begin by estimating how many potential customers you could have contact with in the period. This potential quantity of customers is called your share of market (SOM) or your target market . Then, think about how many of those potential customers will interact with you. Then, make an actual purchase.

Of those who do purchase, factor in how many units of your product they will buy on average and then how much revenue that represents. If you aren’t sure how much your customers will spend, you can interview a few. 

Here is an example of bottom-up sales forecasting in action: Your firm sells IT implementation services to mid-sized manufacturers in the Midwest. You have a booth at a regional trade show, and 3,000 potential customers stop by and give you their contact information. You estimate that you can engage 10 percent of those people in a sales call after the trade show and convert 10 percent of those calls into deals. That represents 30 sales. Your service packages cost an average of $250,000. So, you forecast sales of $7.5 million.

Market Build-Up Method

In the market build-up method, based on data about the industry, you estimate how many buyers there are for your product in each market or territory and how much they could potentially purchase. 

Here is an example of the market build-up method in action: Your company makes safety devices for subways and other rail transit systems. You divide the United States into markets and look at how many cities in each region have subways or rail. In the West Coast territory, you count nine. To implement your product, you need a device for each mile of rail track, so you tally how many miles of track each of those cities have. In the West Coast market, there are a total of 454 miles of track. Each device sells for $25,000, so the West Coast market would be worth a total $11.4 million. From there, you would estimate how much of that total you could realistically capture.

Historical Method

The historical sales forecasting technique is a classic example of the time-series forecasting that we discussed under quantitative methods. 

With historical models, you use past sales to forecast the future. To account for growth, inflation, or a drop in demand, you multiply past sales by your average growth rate in order to compile your forecast. 

This method has the advantage of being simple and quick, but it doesn’t account for common variables, such as an increase in the number of products you sell, growth in your sales force, or the hot, new product your competitor has introduced that is drawing away your customers.

Here is an example of the historical method in action: You are forecasting sales for March, and you see that last year your sales for the month were $48,000. Your growth rate runs about eight percent year over year. So, you arrive at a forecast of $51,840 for this March.

Opportunity Stage Method

The opportunity stage technique is popular, especially for high-value enterprise sales that require a lot of nurturing. This method entails looking at deals in your pipeline and multiplying the value of each potential sale by its probability of closing. 

To estimate the probability of closing, you look at your sales funnel and historical conversion rates from top to bottom. The further a deal progresses through the stages in your funnel or pipeline, the higher likelihood it has of closing.

The strong points of this method are that it is straightforward to calculate and easy to do with most CRM systems. 

But, opportunity-stage forecasting can be time consuming. 

Moreover, this method doesn’t account for the unique characteristics of each deal (such as a longtime repeat customer vs. a new prospect). In addition, the deal value, stage, and projected close date have to be accurate and updated. And, the age of the potential deal is not reflected. This method treats a deal progressing quickly through the stages of your pipeline the same as one that has stalled for months. 

If your sales process, products, or marketing have changed, the use of historical data may make this method unreliable.

Here is an example of the opportunity stage method in action: Say your sales pipeline comprises six stages. Based on historical data, you calculate the close probability at each stage. Then, to arrive at a forecast, you look at the potential value of the deals at each stage and multiply them by the probability.

Length-of-Sales-Cycle Method

This is another quantitative method that shares some similarities with the deal stage method. However, this model looks at the length of your average sales cycle. 

First, determine the average length in days of your sales process. This figure is also known as time to purchase or sales velocity . Add the total number of days it took to close all of the past year’s deals and divide by the number of deals. Then, calculate the probability of new deals closing in a certain period of time as a percentage of the average sales cycle length. 

With this method, the biases of individual reps are less of a factor than with the deal stage model. Also, with this technique, you can fine-tune the probabilities for different lead types. (For example, prospects referred by current customers may close in an average of 27 days, while prospects who make contact after an online search need an average of 62 days.) But, this technique requires you to know and record how and when prospects enter your pipeline, which can be time intensive.

Here is an example of the length-of-sales-cycle method in action: You review the 37 deals your company won last year and see that they took a total of 2,997 days to close. To calculate the average length of the sales cycle, you divide 2,997 by 37 and see that the average sales cycle lasted 81 days. You then look at the five deals currently in your pipeline.

Lead Scoring Method

This technique requires you to have lead scoring in place. With lead scoring, you profile your ideal customers based on attributes (like industry, size, and location) as well as behavior (such as whether they have recently raised capital or whether the contact person has requested a demonstration of your product). 

You then classify future leads based on how closely they match your ideal customer. You can label the categories with distinctions such as A, B, or C or hot, warm, or cold, or you can assign numbers up to one hundred using formulas that add and subtract points for different attributes and behaviors. (For example, “They requested a demo, which adds 15 points, but they are not in your ideal industry, which subtracts 10 points.”)  

To create your forecast, you then look at the historical close rate for leads in each category and multiply that by the value of the opportunities currently in the group. 

Here is an example of the lead scoring method in action: Your company sells textbooks for advanced math and science. Your ideal customer is a university with at least 25,0000 students that has an engineering school and is located on the east coast. These are your A prospects. B prospects have at least 10,000 students. C prospects have at least 10,000 students, but are located elsewhere in the country.

You then look at the close rates and potential deal values for each lead score. Finally, you multiply the close rate by the potential value of the deals in the category or by your average sales value.

Lead Source Method

This model forecasts future sales based on how you acquired the lead, using the behavior of previous leads as a benchmark.

For example, say your company sells a software application. Some leads come from search traffic to your website; some originate with demonstration requests at conferences, and some are referrals from existing customers. 

Look at your historical data to track the percentage of leads who converted to sales for each lead source. In addition, calculate the average value of a sale for each source. Then, by using the conversion probability and sales values, you can forecast the sales that the leads at the top of your funnel are likely to generate. 

Here is an example of the lead source method in action: Based on source, you compile your historical data and discover the following conversion rates and sales value for leads.

One advantage of this sales forecasting method is that you can project how many leads of each type you would need to generate in order to hit a target. Suppose you have a conference coming up where participants will be able to request demonstrations of your product, and you would like to win an additional $30,000 in sales from the demo leads. Based on the average lead value of $600, you know you will want to generate 50 leads who request demos at the conference. 

One drawback to lead source forecasting is that the method does not account for potential differences in the length of the sales cycle for the lead types. That makes it difficult to pinpoint the period in which the revenue will occur. Therefore, you should do a separate analysis of time to purchase in order to allocate sales to the right period.

Another challenge is that sometimes you may not be sure of the lead source. For example, suppose that another customer has recommended your product to a contact and that that contact decides to first check you out on your website. You might very well assign a lower lead value to this prospect, assuming they will behave like our web-originated leads, when, in reality, they will probably behave more like the customer referral leads. 

Lastly, remember that this method won’t account for changes in your marketing or pricing that influence conversion rates and customer behavior.

Sales by Row Method

This method is a good fit for small businesses that sell different products or services. Rather than forecasting sales for each individual product type, you project sales for categories. 

Each row in your forecast will cover different physical products (such as pick-up trucks, heavy trucks, and delivery vans) and service units (such as hours of labor or service types like replacing a faucet, unclogging a drain, or installing a toilet). 

You can employ this method to forecast units and then factor them by average prices to arrive at revenue. Or, you can look exclusively at revenue. If you sell a subscription service, you can calculate recurring revenue for each product type.

For each row, you would look at how much you sold in the same period a year earlier and then adjust for factors such as inflation, organic growth, new products, increased workforce, or special circumstances.

Here is an example of the sales by row method: You operate a combination fuel station and mini-market. Your forecast would cover the broad categories of your business, such as sales of gasoline, diesel, food, beverages, and sundries.

For March’s forecast, you take into account that the new housing development near your business, which was under construction last year, is now almost completely sold and that there are many more commuters filling up. Your gas sales have been growing by almost 15 percent year over year. Also, in March, there will be a special event at the nearby fairgrounds that could draw thousands of additional vehicles to your area. 

On the downside, a new retail complex with a full-service grocery store has opened nearby, so your sales of food and drinks have slipped. Also, increased congestion in the neighborhood has caused some long-haul truckers who used to stop for fuel to reroute.

Regression or Multivariable Analysis Method

Regression or multivariable analysis is one of the most sophisticated forecasting methods, and allows you to build a custom model combining any factors that you feel are relevant to your sales.

For regression analysis, you need accurate historical data on all the variables under consideration, expertise in statistics, and, for practical purposes, an analytics solution or application that can perform the analysis. 

Because this method incorporates a multitude of influences on your sales, the resulting forecast is the most accurate. But, the costs tend to be high because of the data collection, expertise, and technology requirements.  

Regression analysis looks at the dependent variable (the factor that you are trying to predict, in this case, the amount of future sales) and independent variables (the factors that you believe affect sales results, such as opportunity stage or lead score). 

In a simple example, you would create a chart, plotting the sales results on the Y axis and the independent variable on the X axis. This chart will reveal correlations. If you draw a line through the middle of the data points, you can calculate the degree to which the independent variable affects sales. 

This line is called the regression line , and, by calculating the slope of the line, you can use numbers to represent the relationship between the variable and sales. The equation for this is Y = a + bX. Excel and other software will perform this analysis and calculate a and b for you. In more sophisticated applications, the formula will also include a factor for error to account for the reality that other variables are also at work.

Going further, you can look at how multiple variables interplay, such as individual rep close rate, customer size, and deal stage. Making these kinds of calculations becomes increasingly difficult with simple charts and demands more advanced math knowledge. 

Remember that correlation is not the same as causation. Bear in mind that while two variables may seem closely related to each other, the reality may be more subtle. 

Here is an example of the regression method in action: You want to look at the relationship between the amount of time a prospect has progressed in your sales cycle and the probability of the deal closing. 

So, plot on a chart the probability of close for past deals when they were at various stages of your sales cycle, which lasts an average of 100 days. Deals early in the sales cycle have a low probability of closing compared to those that occur in the later stages of negotiation and contract signing on day 85 and up. (Be sure to eliminate any prospects that stall or disengage at any stage.)

By drawing a line through those points (i.e., the intersection between the sales close probability and the percentage of the average sales cycle), you can see that there is a nearly one-to-one relationship between percentage point increases in time elapsed relative to the average sales cycle and percentage point increases in the probability of closing.

This calculation becomes more complex when you consider multiple variables. Let’s say you have two sales reps working with prospects. Gloria, your best closer, is giving a product demonstration to a new Fortune 500 account. Leonard, a strong performer, whose close rate is a little lower than Gloria’s, is negotiating with a repeat customer, a mid-sized company. 

Your multivariable analysis of these situations could take into account each rep’s average close rate for an opportunity, given the following factors: the specific stage; deal size; time left in the period; probability of close for a repeat customer versus a new customer; and time to close for an enterprise customer with more than 10 people involved in decision making versus a mid-sized business with a single decision maker.

Time Horizons in Sales Forecasting

Choosing the time period for your sales forecast is an important step. Depending on your business, the purpose of your forecast, and the resources you can devote to making forecasts, the time frame you target will vary. 

A short-term forecast will help set sales rep bonus levels for next quarter, but you need a long-term forecast to decide whether you should plan to build a new factory. A startup that has been doubling revenue every year will have more difficulty making a 20-year forecast than a century-old concern in a mature industry. Here are the three time frames for forecasts: 

• Short-Term Forecasts: These cover up to a year and can include monthly or quarterly forecasts. They help set production levels, sales targets, and overhead costs.
• Medium-Term Forecasts: These range from one to four years and guide product development, workforce planning, and real estate needs.
• Long-Term Forecasts: These extend from five to 20 years and inform capital investment, capacity planning, long-range financing programs, succession planning, and workforce skill and training requirements.

Getting Started with Sales Forecasting: What You Need to Know

Regardless of the sales forecast method you use, you generally need to have certain pieces of information and conditions in place. These include the following:

• Well-Documented and Defined Sales Process: You need to understand your customer journey and have an established sequence for nurturing each prospect. Without this, you cannot predict which opportunities are getting closer to purchasing. This structure creates accountability. 
• Consensus on Pipeline Stages: Your sales team needs to have a clear and shared understanding of what you mean by lead, prospect, qualified, possible, probable, committed, and other relevant terms. 
• Definition of Success: Communicate clearly what your sales team is striving for in terms of sales quotas or goals; include these quotas and goals for each individual rep, for the team as a whole, and for conversion through each stage of your pipeline.
• Historical Data: You require benchmarks for data points, such as average time to close, conversion rates, average deal size, lifetime customer value, win-loss ratio, and seasonal sales trends. These sales metrics and KPIs are often critical pieces of your forecast.
• Current Status: Up-to-date knowledge of your pipeline is essential, including how many opportunities are at each stage and the potential value of these sales.
• Forecasting Tools: This will almost always include a CRM application and may also include financial management or accounting software, analytics solutions, and spreadsheets.

Influences and Assumptions in Sales Forecasting

Sales forecasting should not happen in a vacuum. Take into account changes in the business environment and question assumptions, such as that past growth will continue. Also, be sure to factor in your ideas about global economic trends and competitor behavior.

Here are some common factors to consider regarding your sales forecast. Many of these can have either a positive or negative influence on sales. For example, changing reps’ account assignments may reduce sales, because members of your team will have to familiarize themselves with customers that are new to them. However, sales could increase if your new hotshot gets your biggest opportunity.

• Economic Trends: Inflation, growth, consumer sentiment, risk appetite, and purchasing power
• Regulation: Trade policies such as tariffs, duties, and quotas; health, safety, and environmental rulings on products or processes; court decisions; intellectual property disputes; and competition policy
• Seasonal Trends: Cyclical demand fluctuation, production patterns, and variation in raw material availability 
• Competitor Behavior: New product innovations, pricing changes, and market entries and exits
• Business Economics: Selling prices, direct prices, unit costs, gross margins, and the impact of accrual versus cash accounting on when you can book a sale
• Staffing and Compensation: Hiring or firing new reps, changes in leadership, policies on commissions and bonuses, and training
• Territory Management: Redrawing of territories and changes in account assignments
• Products and Services: Product lifecycle, new products and services, user experience, defects, ticket resolution, changes in distribution, and market entries and exits
• Marketing: Demand generation, advertising, pricing, special campaigns, social media activity, and prospecting

Sales Forecasting for New Businesses and Products

If you are starting a new business or launching a new product, your sales forecasts are crucial because they will determine how much you can spend in order to break even. However, when dealing with a new entity, you lack the advantage of historical data, which you need for almost every forecasting technique. 

If you don’t have historical data, you can use industry benchmarks from trade publications, industry associations, and consultants. For example, if you are launching a new recipe app, look at market research on how other cooking apps have performed. 

Dining establishments can look at number of tables, hours of service, and menu prices to estimate average order amounts and table turnover. Retail outlets use square feet, foot traffic, and average selling prices to forecast sales.

If you are adding a new product to your line, you can forecast sales by looking at how your most similar existing product performed at launch. Then, you can make tweaks based on other relevant information, such as that the new product is harder to master than its predecessor, that it is a later entrant into a crowded space, or that it already has a backlog of orders before launch.

New service businesses can base forecasts on capacity, such as number of staff and service hours and how much to charge for the most popular services. Once you have this data, you can make adjustments accordingly.

Michael Barbarita, President of Next Step CFO , works as a contracted CFO to produce sales forecasts for companies. He likes to tie the sales forecast for service businesses to a metric called sales per direct labor hour , which you can calculate this by dividing sales by the working hours of people in the field performing customer work. For example, an electrical contractor would calculate the sales per direct labor hour of its electricians and multiply that figure by the number of electricians and the hours they work.  

For instance, you may decide that operating at half capacity is a good estimate for your first six months in business. Then, you may operate at three-quarters capacity for the second six months. Therefore, you would multiply maximum capacity by average revenue and then multiply that resulting figure by 0.50 and 0.75, respectively.

Quick-Start: Sales Forecasting Formulas

If you are eager to dive in and want to generate some simple sales forecasts, you can make use of basic equations. Here are a few easy ones:

• Simple Forecast with No Organic Growth: This formula assumes that this period will duplicate the prior period, except for the impact of inflation.  Revenue Prior Period) + (Revenue Prior Period x Inflation Rate) = Sales Forecast  
• Historical Plus Growth: This formula helps you reflect current trends.You look at the prior year and then factor it by your recent growth rate. (Last Year Revenue x Percentage Growth Rate) + Last Year Revenue = Sales Forecast
• Partial Year: In this method, you project the rest of the year based on historical patterns and early results. Imagine that you know your sales for the first two months of the year and that last year these months represented seven and nine percent of your sales respectively and totaled $100,000. Using the formula below, you would forecast sales of $625,00 for the year: ($100,000 x 100) ÷ 16 = $625,000. (Current Period Revenue x 100) ÷ Percent That Equivalent Period Represented Last Year = Forecast Sales
• Pipeline Formula: This formula replicates the opportunity stage method that we discussed earlier. You calculate the value of deals at each stage of your pipeline by multiplying the potential deal value by the close probability and adding up the result for each stage. (Deal Amount x Close Probability) + (Deal Amount x Close Probability) etc. = Sales Forecast

How to Make a Basic Sales Forecast Step by Step

Here are step-by-step instructions for a manually generated sales forecast:

• Pick Your Time Period: The way in which you will use your forecast determines the most appropriate time interval, whether that be monthly, quarterly, annually, or on an even longer timeline. If you are making your first forecast, estimating on a monthly or quarterly basis for the upcoming year is a good starting point. Experts suggest doing monthly estimates for the first year and then doing annual forecasts for years two through five. 
• List Products or Services: Write down the items or services that you sell. If you have a lot of them, group them into categories. For example, if you sell clothing, your rows might include shirts, pants, and shoes. Match these revenue streams to the way you organize your accounting. So, if your books look at women’s and men’s clothing separately, do the same for your sales forecast. That way, you can pair your sales forecast with information on your cost of goods sold and overhead to project profit.  
• Estimate Unit Sales: Predict how many units you will sell in the selected time period. If you have historical data, use that and then factor in assumptions about demand for the upcoming period. For example, is your business growing? Is the economy in recession? Did you launch a big promotion? Use the answers to these questions to make downward or upward adjustments to the historical figure. You can also interview some customers to get insights into their likely purchasing plans. Lastly, don’t forget to factor in seasonal fluctuations. 
• Multiply by the Selling Price: Multiply the unit sales numbers by the average selling price (ASP). Determine the ASP by analyzing historical sales and adjusting for inflation and other factors. To obtain this figure, you also need to consider discounts, free trials, and unsold inventory. 
• Repeat for Each Forecast Period: Go through the same calculation for each category and time interval. As you forecast more distant periods, your estimates are likely to be less accurate, so you may want to make a range of forecasts, such as for best, worst, and average scenarios. As time passes, add the actual values and fine-tune your forecast. For instance, you may see that for the first few months of the year, you underestimated sales by 12 percent. Therefore, you decide to increase your forecasted sales amounts in the upcoming months.

How to Forecast Sales in Excel

Here is a step-by-step guide to building your own sales forecast in Excel:

• Enter Historical Data: Open a worksheet and enter your past date data in the first column. Then, in the second column, enter the corresponding sales values. If possible, make sure you space the dates consistently (e.g., the first day of every month). 
• Create Forecast: In the date column, fill out the next date cell with the future date you are forecasting. Select the corresponding sales value cell and in the function field, type: =(FORECAST( A10, B2:B9, A2:A9)), where A10 is the future date cell, B2 to B9 are the historical sales amounts, and A2 to A9 are the historical dates. Hit enter and the forecast sales amount will appear.
• Repeat: Continue the pattern for your remaining future dates. Remember that the formula uses only known variables, so do not add forecasted amounts to the cell ranges. This function is a linear forecasting method.
• Power Up: If you have Excel 2016, you can use the forecast sheet function, which automates forecasting and adds a chart. To use this function, select both data columns, and, on the data tab, click the forecast sheet. In the create forecast worksheet box, select whether you want a line or bar chart. In the forecast end field, choose an ending date and then click create. Excel will create a new worksheet that contains both historical and forecast sales data as well as a visual representation. 

For a pre-made basic sales forecast, download this template that projects product sales with both units and sales amount.

Basic Sales Forecast Sample Template

Excel | Google Sheets | Smartsheet

For a wide range of pre-built sales forecast templates in a variety of formats, see this comprehensive collection .

How to Choose the Right Sales Forecasting Methodology

Your goal is to build the most reliable forecast possible, with the minimum amount of resources you need to be effective. To choose the method that fits best, consider these seven questions:

• Is the Time Frame Short, Medium, or Long Term? Qualitative methods are a good choice for short-term horizons, but they generally underperform quantitative methods for periods beyond a few months. Similarly, consider where you are in your business or product lifecycle. If you are ramping up or in a high-growth phase, you may be making costly investment decisions, so you need a method with a high degree of accuracy, but also relatively quick production time. When you are in a mature phase of your business, decisions about production and marketing are more routine. 
• How Much Data Do You Have? The less data you have, the more likely you will be to select a qualitative technique. If you have limited data, you will turn toward more simplistic models. A company that has collected a lot of data and has great confidence in its reliability can choose sophisticated quantitative models. 
• How Relevant Will History Be in Predicting the Future?  If your business has undergone big changes, such as launching major new products, experiencing large growth in the sales force, or introducing a different pricing structure, your past results will have less value as a guide to future performance. So, methods that diminish the weight put on historical data and qualitative techniques are a better choice.  
• In Terms of Time and Money, How Much Does It Cost to Produce the Forecast? How Does This Cost Compare to the Value of the Potential Benefits?You will need to make tradeoffs between the time and cost to build your forecast and the potential benefits, such as cost savings. Also, consider the potential cost of error. For example, suppose you are contemplating a high-cost sales-forecasting technique (one that takes a lot of data gathering, the creation of a custom model, and expensive staff and technology to produce). The forecast could allow your company to reduce the amount of inventory it holds. Weigh the value of inventory savings against the forecasting cost. If you reduce inventory and the forecast proves inaccurate, what are the potential costs of lost sales — because you did not stock adequately or because you did not cut back enough?  
• What Degree of Accuracy Do You Need?  Forecast accuracy rises with the cost and complexity of the methodology. Depending on how you will use the forecast, the size of your company, and the variability of your business, you may feel that it’s not cost effective to produce a maximum-accuracy forecast. If you are a giant global company, a fraction of a percentage point error in your sales forecast could represent many millions. So, the bigger the dollar values, the more meaningful every degree of enhanced accuracy becomes.
• How Complex Are the Factors That Will Drive the Forecast?   If your sales dynamic is straightforward — the more sunny days there are, the more beach umbrellas you sell at your beach kiosk — then building a sophisticated, AI-driven forecasting model will be overkill. “It's important not to spend time and energy developing a complex model, when a much simpler one will do the job,” says Nicholas. But when you are facing a subtle and complex interplay of variables, you need a technique that accounts for them. Suppose you have new products, changes in your marketing, and additional sales reps. A sophisticated model would allow you to forecast the net effects and also try out different scenarios in which the variables fluctuated.

Why Accuracy Is Important in Sales Forecasts

According to CSO Insights, 60 percent of forecasted deals do not close and 25 percent of sales managers are unhappy with the accuracy of their forecasts. Inaccuracy in sales forecasts causes problems for businesses and impacts performance. 

People throughout your company depend on your forecasts to make a multitude of decisions — from pay raises to real estate acquisitions. Let’s look at some of the important reasons to strive for accuracy:

• Early Warning: Your sales forecast helps you spot trouble early, like when revenues are not materializing as expected; the forecast also allows you to intervene and problem solve before this underperformance becomes a crisis.
• Decision Making: The forecast gives leaders confidence and a sound basis for deciding how much and where to spend or invest. Production planners, HR, and others will use the forecast.
• Goal Setting: You set achievable targets for sales reps when you have an accurate forecast. Goal setting prevents sales reps from getting discouraged by unrealistic expectations. Following this strategy also ensures that your commission and bonus scale are calibrated appropriately. 
• Customer Satisfaction: When you are prepared for the right level of demand, your company can improve its record of fulfilling orders on time and in full.
• Inventory Management: You will be more likely to have the right level of inventory if your sales forecasts are accurate. Making accurate predictions allows you to better manage your supply chain and order raw materials or parts in a timely fashion. You also gain more control over your pricing if you have the right amount of inventory. When you have to resort to discounting to get rid of excess inventory, your profitability suffers.

How to Improve Sales Forecast Accuracy and More Best Practices from Experts

Producing high-quality forecasts takes organizational commitment and long-term effort, and best practices will help improve accuracy.

”Sales forecasting is both an art and a science. Where companies tend to go wrong is relying too heavily on one or the other. You need a consistent process and reliable data,” says Charlene DeCesare, CEO of sales training and advisory firm Charlene Ignites .

She emphasizes five best practices:

• Ensure that the pipeline feeding the forecast is accurate. You don't need historical data to predict the future when you have a well-defined sales process.
• Everyone must use the CRM, and should enter notes and coding opportunities in a clear, consistent way. 
• Buyer behavior is a much more reliable predictor of future sales than gut feel. Challenge optimism that doesn't align with the applicable stage in the sales cycle or isn't supported by clear, mutually agreed-upon next steps.
• In general, buyer/seller behavior is the leading indicator to rely upon. Too many companies rely on results, which is actually the lagging indicator.
• Sales leadership can have a huge impact. Sales reps must be rewarded for both honesty and accuracy. Sales forecasting must be an individual, team, and company priority. 

Rob Stephens, a CPA whose firm CFO Perspective advises businesses on forecasts, adds: “A big planning mistake is spending too much of your precious time trying to find the one right scenario… Start with a range of reasonable forecasts based on solid fundamentals. For example, you may project from historical growth rates, customer indications of future sales, or projections of market growth. A company with a new product may need to extrapolate from existing products or early indications from potential customers. Use a higher-probability scenario as a beginning base scenario, but identify why the future may deviate from it.”

Common Mistakes and Pitfalls in Sales Forecasts

Sales pros say they see the same sales forecasting errors on a regular basis and that these often relate to letting the discipline of the forecasting process lapse. 

“The most common operational mistakes are basing forecasts on hope rather than evidence, ignoring repeated close date slippage, failing to take into account the historic forecast accuracy (or inaccuracy) of the salesperson concerned, and failing to hold salespeople accountable for the relative accuracy of their forecasts,” notes Bob Apollo, Founder of Inflexion-Point Strategy Partners, a sales training firm.  

“The most common cultural mistake is when sales leaders press salespeople to forecast a target number without any evidence or confidence that it will actually be achieved," he notes.

Evan Lorendo , Director of Revenue Accelerator, which advises service companies on revenue strategies, says he sees companies with monthly recurring revenue (MRR), such as software as a service (SaaS), frequently make mistakes in sales forecasting.

He gives the example of a company with an MRR product that wants to generate $120,000 in revenue a year. How much in new sales do they need each month? “Most of my clients say $10,000/month, but that is wrong. Because a client is paying on a monthly basis, a client that signs up in January is actually paying 12 times during the year. On the flip side, a client signing up in July will make six payments during the year,” he explains. 

That means there are a total of 78 potential payment configurations per year, not 12. The customer who buys in January will make 12 payments, but November’s buyer will make two. (12 + 11 + 10 + 9 + 8 + 7+ 6 + 5 + 4 + 3 + 2 + 1 = 78.)

“If you want to know how much you need to sell in new sales each month to hit that $120,000 goal, the answer is $1,539 ($120,000/78). That actually seems much more manageable, doesn't it? Based on poor forecasting, a miscalculation can turn off good salespeople who can't hit their quota,” he says.

KPIs for Sales Forecasting

As your sales forecasting improves, you reap bigger benefits, such as better planning and higher profits. So, you will want to assess and monitor your forecasting effort by using key performance indicators (KPIs).

Below are the main KPIs for sales forecasting. Some of them draw from statistics concepts, such as standard deviation, and computer applications and statistics guides can help you calculate them.

• Bias or Variance: This KPI tells how much the actual results deviated from the forecast over a given period of time. Calculate bias as an absolute number of dollars or units or as a percent of sales. A positive number means sales exceeded projections and a negative number indicates underperformance. Actual Units - Forecast Units = Bias
• Mean Absolute Deviation (MAD): This metric describes the size of your forecast error in total units or dollars. You calculate how much the actual results deviated from the forecast average, add the deviations, and divide the result by the total number of data points.   
• Mean Absolute Percentage Error (MAPE): This is similar to MAD, but gives the forecast error as a percent of sales volume. 
• Tracking Signal: This is another expression of forecast error and looks at how the error rate varies among forecast values. Normally, you expect all forecast amounts to be wrong by about the same degree. If, from one data point to another, there is a large variation in the error rate, you need to rework your model.  Tracking Signal = Accumulated Forecast Errors ÷ Mean Absolute Deviation
• Forecast Value Added: This metric measures how much better the forecast was than simply using unadjusted historical data. If your forecasting effort got you closer to actual than the so-called naive forecast (i.e., using historical figures as your forecast), you have added positive value. You calculate this metric by comparing the MAPE of your forecast to the naive forecast.
• Linearity: This looks at how sales are paced over the course of the period. As your reps seek to meet quota, you might see a flurry of deals at the end of the quarter. Or, deals might be spread evenly across the time period. The most stable situation is a deal cadence or velocity that is constant. If expressed as a trend line, this stable situation would appear visually as a flat line. This pattern is called highly linear .

Application of Sales Forecasting

Your sales forecast obviously gives you an idea of how much you will sell in the future, but sales forecasting has other important use cases. Here are five ways you can apply your forecast to business questions:

• Sales Planning: As noted earlier, your sales plan encompasses your goals, tactics, and processes for achieving your sales forecast. As part of this plan, your sales forecast helps you decide if you need to hire more sales reps to achieve your forecast and if you need to put more energy and resources into marketing.
• Demand Planning: Demand planning is the process of forecasting how much product your customers will want to buy and making sure inventory aligns with that forecast. In ideal conditions, forecast demand and sales would be virtually the same. But, consider a scenario in which your new product becomes the hot gift of the holiday season. You forecast demand of 100,000 units (the number consumers will want to buy). A large shipment turns out to be defective, and the product is unsellable. So, you forecast sales of just 75,000 units (how much you will actually sell.)   
• Financial Planning: Your sales forecast is vital to the work of your finance department. The finance team will rely on the forecast to build a budget, manage overhead, and figure out long-term capital needs. 
• Operations Planning: The unit-sales numbers in your forecast are also important for operations planners. They will look at the production required to meet those sales and confirm that manufacturing capacity can accommodate them. They will want to know when sales are likely to rise or fall, so they can avoid excess inventory. A big increase in sales will also require operations managers to make changes in warehousing and distribution. Retailers may change the product mix at individual stores based on your sales forecast.
• Product Planning: The trends you foresee in sales will have big implications for product managers too. They will look at products that you forecast as top sellers for ideas about new products or product modifications they should introduce. A forecast of declining sales may signal it is time to discontinue or revamp a product.

Levels of Maturity in Sales Forecasting

Sales forecasts can be simply scribbled-down estimates, or they can be statistical masterpieces produced with the aid of the most sophisticated technology. The style you pursue relates in large part to your level of forecasting maturity (as well as the size and history of your business). 

Below is a description of the four levels of the sales forecasting maturity model:

• Level One: In the beginning stages of sales forecasting, the estimates are usually not very accurate and take a lot of time to produce. The forecasting process depends on reps’ best guesses, and sales managers spend a lot of time gathering these guesses by interviewing each rep. Then, they roll them up into a consolidated forecast. Inconsistent data collection and personal bias can skew the results. Sales managers use spreadsheets, which quickly become outdated, and the forecasts often reflect little more than intuition.
• Level Two: As your forecasting culture grows, you are probably still inputting data by hand, and the forecast is often inaccurate or outdated. But, a CRM solution is enabling your team to have a shared repository for contacts, sales activity, and deal status. Reps don’t see value in spending time contributing to the forecast, and quality is weak. Your CRM automatically aggregates those results, so you can start to examine trends and anomalies. But, your system is not very flexible, and forecasting remains unwieldy and resource intensive.
• Level Three: At this point, automation starts to offer radical improvements in sales forecasting. Solutions backed by artificial intelligence automatically bring together data from a multitude of sources, including email, CRM, marketing platforms, chat logs, and calendars. There is no more manual data entry, and sales managers gain increased visibility into the sales pipeline. KPIs become reliable and an important tool for monitoring performance.
• Level Four: Technology ensures sales that data is accurate and timely. AI and machine learning find patterns and correlations in your historical data, and predictive analytics offer robust forecasting. The forecasting model is continually refined. Forecast accuracy rises, and sales managers can focus more of their time on supporting reps and developing opportunities. These tools make it apparent when reps are sandbagging or being too optimistic, and accountability increases.

Advances in Sales Forecasting Methodologies

While sales forecasting has been around as long as private enterprise, the field continues to evolve, and researchers are looking at ways to improve sales forecasting methodologies. 

Indiana University Professor Douglas J. Dalrymple performed an influential study in 1987 that surveyed how businesses prepared sales forecasts. He found that qualitative and naive techniques predominated, but that early adopters were reducing errors by using computer analysis. At this time, PCs were starting to proliferate and come down in price. 

By 2008, Zhan-Li Sun and his researchers at the Institute of Textiles and Clothing at Hong Kong Polytechnic University were experimenting with an advanced AI-driven technique called extreme learning machine to see if they could improve forecasts for the volatile retail fashion industry by quantifying the influence of factors such as design on sales.  

Scholars F.L. Chen and T.Y. Ou at the National Tsing Hua University in Taiwan took this further with a 2011 study. The study documented sales forecasting advances when combining extreme learning-machine, so-called Taguchi statistical methods for manufacturing quality with novel analysis theories that work on variables with imperfect information.

Features to Look for in a Sales Forecasting Tool

Paper forecasts and Excel spreadsheets quickly become cumbersome. Sales forecasting capability is available in CRM software, sales analytics and automation platforms, and AI-driven sales technology. These capabilities often overlap among these applications.

Here are some of the features to look for when evaluating a sales forecasting tool:

• Integrations with other software, such as ERP, CRM, marketing suites, contact management, calendars, and more
• Automated collection of data and sales rep activity
• Real-time reporting
• Robust data security
• Analytics and automated scoring of deals
• Insights on most promising deals
• Scenario modeling
• Lead scoring
• Automated forecast roll-ups or summaries by category and team
• Dashboards and graphic displays of KPIs
• Benchmarking
• Customizable forecasting algorithms
• Forecast auditing and error analysis

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How to Create a Sales Forecast

11 min. read

Updated October 27, 2023

Business owners are often afraid to forecast sales. But, you shouldn’t be. Because you can successfully forecast your own business’s sales.

You don’t have to be an MBA or CPA. It’s not about some magic right answer that you don’t know. It’s not about training you don’t have. It doesn’t take spreadsheet modeling (much less econometric modeling) to estimate units and price per unit for future sales. You just have to know your own business. 

Forecasting isn’t about seeing into the future

Sales forecasting is much easier than you think and much more useful than you imagine.

I was a vice president of a market research firm for several years, doing expensive forecasts, and I saw many times that there’s nothing better than the educated guess of somebody who knows the business well. All those sophisticated techniques depend on data from the past — and the past, by itself, isn’t the best predictor of the future. You are.

It’s not about guessing the future correctly. We’re human; we don’t do that well. Instead, it’s about setting down assumptions, expectations, drivers, tracking, and management. It’s about doing your job, not having precognitive powers. 

• Successful forecasting is driven by regular reviews

What really matters is that you review and revise your forecast regularly. Spending should be tied to sales, so the forecast helps you budget and manage. You measure the value of a sales forecast like you do anything in business, by its measurable business results.

That also means you should not back off from forecasting because you have a new product, or new business, without past data. Lay out the sales drivers and interdependencies, to connect the dots, so that as you review plan-versus-actual results every month, you can easily make course corrections.

If you think sales forecasting is hard, try running a business without a forecast. That’s much harder.

Your sales forecast is also the backbone of your business plan . People measure a business and its growth by sales, and your sales forecast sets the standard for  expenses , profits, and growth. The sales forecast is almost always going to be the first set of numbers you’ll track for plan versus actual use, even if you do no other numbers.

If nothing else, just forecast your sales, track plan-versus-actual results, and make corrections — that process alone, just the sales forecast and tracking is in itself already business planning. To get started on building your forecast follow these steps.

And if you run a subscription-based business, we have a guide dedicated to building a sales forecast for that business model.

• Step 1: Set up your lines of sales

Most forecasts show several distinct lines of sales. Ideally, your sales lines match your accounting, but not necessarily in the same level of detail.   

For example, a restaurant ought not to forecast sales for each item on the menu. Instead, it forecasts breakfasts, lunches, dinners, and drinks, summarized. And a bookstore ought not to forecast sales by book, and not even by topic or author, but rather by lines of sales such as hardcover, softcover, magazines, and maybe categories (such as fiction, non-fiction, travel, etc.) if that works.

Always try to set your streams to match your accounting, so you can look at the difference between the forecast and actual sales later. This is excellent for real business planning. It makes the heart of the process, the regular review, and revision, much easier. The point is better management.

For instance, in a bicycle retail store business plan, the owner works with five lines of sales, as shown in the illustration here.  

In this sample case, the revenue includes new bikes, repair, clothing, accessories, and a service contract. The bookkeeping for this retail store tracks sales in those same five categories.

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• Step 2: Forecast line by line

There are many ways to forecast a line of sales.

The method for each row depends on the business model

Among the main methods are:.

• Unit sales : My personal favorite. Sales = units times price. You set an average price and forecast the units. And of course, you can change projected pricing over time. This is my favorite for most businesses because it gives you two factors to act on with course corrections: unit sales, or price.
• Service units : Even though services don’t sell physical units, most sell billable units, such as billable hours for lawyers and accountants, or trips for transportations services, engagements for consultants, and so forth.
• Recurring charges : Subscriptions. For each month or year, it has to forecast new signups, existing monthly charges, and cancellations. Estimates depend on both new signups and cancellations, which is often called “churn.”
• Revenue only : For those who prefer to forecast revenue by the stream as just the money, without the extra information of breaking it into units and prices.

Most sales forecast rows are simple math

For a business plan, I recommend you make your sales forecast a detailed look at the next 12 months and then broadly cover two years after that. Here’s how to approach each method of line-by-line forecasting.

Start with units if you can

For unit sales, start by forecasting units month by month, as shown here below for the new bike’s line of sales in the bicycle shop plan:

I recommend looking at the visual as you forecast the units because most of us can see trends easier when we look at the line, as shown in the illustration, rather than just the numbers. You can also see the numbers in the forecast near the bottom. The first year, fiscal 2021 in this forecast, is the sum of those months.

Estimate price assumptions

With a simple revenue-only assumption, you do one row of units as shown in the above illustration, and you are done. The units are dollars, or whatever other currency you are using in your forecast. In this example, the new bicycle product will be sold for an average of $550.00. 

That’s a simplifying assumption, taking the average price, not the detailed price for each brand or line. Garrett, the shop owner, uses his past results to determine his actual average price for the most recent year. Then he rounds that estimate and adds his own judgment and educated guess on how that will change. 

Multiply price times units

Multiplying units times the revenue per unit generates the sales forecast for this row. So for example the $18,150 shown for October of 2020 is the product of 33 units times $550 each. And the $21,450 shown for the next month is the product of 39 units times $550 each. 

Subscription models are more complicated

Lately, a lot of businesses offer their buyers subscriptions, such as monthly packages, traditional or online newspapers, software, and even streaming services. All of these give a business recurring revenues, which is a big advantage. 

For subscriptions, you normally estimate new subscriptions per month and canceled subscriptions per month, and leave a calculation for the actual subscriptions charged. That’s a more complicated method, which demands more details. 

For that, you can refer to detailed discussions on subscription forecasting in How to Forecast Sales for a Subscription Business .

• But how do you know what numbers to put into your sales forecast?

The math may be simple, yes, but this is predicting the future, and humans don’t do that well. So, don’t try to guess the future accurately for months in advance.

Instead, aim for making clear assumptions and understanding what drives your sales, such as web traffic and conversions, in one example, or the direct sales pipeline and leads, in another. Review results every month, and revise your forecast. Your educated guesses become more accurate over time.

Experience in the field is a huge advantage

In a normal ongoing business, the business owner has ample experience with past sales. They may not know accounting or technical forecasting, but they know their business. They are aware of changes in the market, their own business’s promotions, and other factors that business owners should know. They are comfortable making educated guesses.

If you don’t personally have the experience, try to find information and make guesses based on the experience of an employee,  your mentor , or others you’ve spoken within your field.

Use past results as a guide

Use results from the recent past if your business has them. Start a forecast by putting last year’s numbers into next year’s forecast, and then focus on what might be different this year from next.

Do you have new opportunities that will make sales grow? New marketing activities, promotions? Then increase the forecast. New competition, and new problems? Nobody wants to forecast decreasing sales, but if that’s likely, you need to deal with it by cutting costs or changing your focus.

Look for drivers

To forecast sales for a new restaurant, first, draw a map of tables and chairs and then estimate how many meals per mealtime at capacity, and in the beginning. It’s not a random number; it’s a matter of how many people come in.

To forecast sales for a new mobile app, you might get data from the Apple and Android mobile app stores about average downloads for different apps. A good web search might also reveal some anecdotal evidence, blog posts, and news stories, about the ramp-up of existing apps that were successful.

Get those numbers and think about how your case might be different. Maybe you drive downloads with a website, so you can predict traffic from past experience and then assume a percentage of web visitors who will download the app.

• Estimate direct costs

Direct costs are also called the cost of goods sold (COGS) and per-unit costs. Direct costs are important because they help calculate gross margin, which is used as a basis for comparison in financial benchmarks, and are an instant measure (sales less direct costs) of your underlying profitability.

For example, I know from benchmarks that an average sporting goods store makes a 34 percent gross margin. That means that they spend $66 on average to buy the goods they sell for $100.

Not all businesses have direct costs. Service businesses supposedly don’t have direct costs, so they have a gross margin of 100 percent. That may be true for some professionals like accountants and lawyers, but a lot of services do have direct costs. For example, taxis have gasoline and maintenance. So do airlines.

A normal sales forecast includes units, price per unit, sales, direct cost per unit, and direct costs. The math is simple, with the direct costs per unit related to total direct costs the same way price per unit relates to total sales.

Multiply the units projected for any time period by the unit direct costs, and that gives you total direct costs. And here too, assume this view is just a cut-out, it flows to the right. In this example, Garrett the shop owner projected the direct costs of new bikes based on the assumption of 49 percent of sales.

Given the unit forecast estimate, the calculation of units times direct costs produces the forecast shown in the illustration below for direct costs for that product. So therefore the projected direct costs for new bikes in October is $8,894, which is 49% of the projected sales for that month, $18,150.

• Never forecast in a vacuum

Never think of your sales forecast in a vacuum. It flows from the strategic action plans with their assumptions,  milestones , and metrics. Your marketing milestones affect your sales. Your business offering milestones affect your sales.

When you change milestones—and you will, because all business plans change—you should change your sales forecast to match.

• Timing matters

Your sales are supposed to refer to when the ownership changes hands (for products) or when the service is performed (for services). It isn’t a sale when it’s ordered, or promised, or even when it’s contracted.

With proper  accrual accounting , it is a sale even if it hasn’t been paid for. With so-called cash-based accounting, by the way, it isn’t a sale until it’s paid for. Accrual is better because it gives you a more accurate picture, unless you’re very small and do all your business, both buying and selling, with cash only.

I know that seems simple, but it’s surprising how many people decide to do something different. The penalty for doing things differently is that then you don’t match the standard, and the bankers, analysts, and investors can’t tell what you meant.

This goes for direct costs, too. The direct costs in your monthly  profit and loss statement  are supposed to be just the costs associated with that month’s sales. Please notice how, in the examples above, the direct costs for the sample bicycle store are linked to the actual unit sales.

• Live with your assumptions

Sales forecasting is not about accurately guessing the future. It’s about laying out your assumptions so you can manage changes effectively as sales and direct costs come out different from what you expected. Use this to adjust your sales forecast and improve your business by making course corrections to deal with what is working and what isn’t.

I believe that even if you do nothing else, by the time you use a sales forecast and review plan versus actual results every month, you are already managing with a business plan . You can’t review actual results without looking at what happened, why, and what to do next.

Tim Berry is the founder and chairman of Palo Alto Software , a co-founder of Borland International, and a recognized expert in business planning. He has an MBA from Stanford and degrees with honors from the University of Oregon and the University of Notre Dame. Today, Tim dedicates most of his time to blogging, teaching and evangelizing for business planning.

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Sales forecasting: How to create a sales forecast template (with examples)

A strong sales team is the key to success for most companies. They say a good salesperson can sell sand at the beach, but whether you’re selling products in the Caribbean or Antarctica, it all comes down to strategy. When you’re unsure if your current strategy is working, a sales forecast can help.

What is a sales forecast?

A sales forecast predicts future sales revenue using past business data. Your sales forecast can predict a number of different things, including the number of new sales for an existing product, the new customers you’ll gain, or the memberships you’ll sell in a given time period. These forecasts are then used during project planning to determine how much you should allocate towards new products and services. 

Why is sales forecasting important?

Sales forecasting helps you keep a finger on your business’s pulse. It sets the ground rules for a variety of business operations, including your sales strategy and project planning. Once you calculate your sales projections, you can use the results to assess your business health, predict cash flow, and adjust your plans accordingly.

An effective sales forecasting plan:

Predicts demand: When you have an idea of how many units you may sell, you can get a head start on production.

Helps you make smart investments: If you have future goals of expanding your business with new locations or products, knowing when you’ll have the income to do so is important. 

Contributes to goal setting: Your sales forecast can help you set goals outside of investments as well, like outshining competitors or hiring new team members.

Guides spending: Your sales forecast may be the wake-up call you need to set a budget and use cost control to reduce expenses.

Improves the sales process: You can change your current sales process based on the sales projections you’re unhappy with.

Highlights financial problems: Your sales forecast template will open your eyes to problem areas you may not have noticed otherwise. 

Helps with resource management: Do you have the resources you need to fill orders if it’s an accurate sales forecast? Your sales forecast can guide how you allocate and manage resources to hit targets.

When you have an accurate prediction of your future sales, you can use your projections to adjust your current sales process.

Sales forecasting methods

Sales forecasting is an important part of strategic business planning because it enables sales managers and teams to predict future sales and make informed decisions. But why are there multiple sales forecasting methods? Simply put, businesses vary in size, industry, and market dynamics, so no single methodology suits all.

Choosing the right sales forecasting method is more of an art than a science. It involves:

Analyzing your business size and industry

Assessing the available data and tools

Understanding your sales cycle's complexity

A few telltale signs that you've picked the correct approach include:

Improved accuracy in sales target predictions

Enhanced understanding of market trends

Better alignment with your business goals

Opportunity stage forecasting

Opportunity stage forecasting is a dynamic approach ideal for businesses using CRM systems like Salesforce. It assesses the likelihood of sales closing based on the stages of the sales pipeline. This method is particularly beneficial for sales organizations with a clearly defined sales process.

For example, a software company might use this method to forecast sales by examining the number of prospects in each stage of their funnel, from initial contact to final negotiation.

Pipeline forecasting method

The pipeline forecasting method is similar to opportunity stage forecasting but focuses more on the volume and quality of leads at each pipeline stage. It's particularly useful for businesses that rely heavily on sales forecasting tools and dashboards for decision-making.

A real estate agency could use it by examining the number of properties listed, the stage of negotiations, and the number of closings forecasted in the pipeline.

Length of sales cycle forecasting

Small businesses often prefer the length of sales cycle forecasting. It's straightforward and involves analyzing the duration of past sales cycles to predict future ones. This method is effective for businesses with consistent sales cycle lengths.

A furniture manufacturer, for instance, might use this method by analyzing the average time taken from initial customer contact to closing a sale in the past year.

Intuitive forecasting

Intuitive forecasting relies on the expertise and intuition of sales managers and their teams. It's less about spreadsheets and more about market research and understanding customer behavior. This method is often used with other, more data-driven approaches.

A boutique fashion store, for example, might use this method, relying on the owner's deep understanding of fashion trends and customer preferences.

Historical forecasting

Historical forecasting uses past performance data to predict future sales. This method is advantageous for businesses with ample historical sales data. It's less effective for new markets or rapidly changing industries.

An established book retailer could use historical data from previous years, considering seasonal trends and past marketing campaigns, to forecast next quarter's sales.

Multivariable analysis forecasting

Multivariable analysis forecasting is a more sophisticated method that's ideal for larger sales organizations. It analyzes factors like market trends, economic conditions, and marketing efforts to provide a holistic view of potential sales outcomes.

An automotive company, for example, could analyze factors like economic conditions, competitor activity, and past sales data to forecast future car sales.

How to calculate sales forecast

Sales forecasts determine how much you expect to do in sales for a given time frame. For example, let’s say you expect to sell 100 units in Q1 of fiscal year 2024. To calculate sales forecasts, you’ll use past data to predict future trends. 

When you’re first creating a forecast, it’s important to establish benchmarks that determine how much you normally sell of any given product to how many people. Compare historical sales data against sales quotas—i.e., how much you sold vs. how much you expected to sell. This type of analysis can help you set a baseline for what you expect to achieve every week, month, quarter, and so on.

For many companies, this means establishing a formula. The exact inputs will vary based on your products or services, but generally, you can use the following:

Sales forecast = Number of products you expect to sell x The value of each product

For example, if you sell SaaS products, your sales forecast might look something like this: 

SaaS FY24 Sales forecast = Number of expected subscribers x Subscription price

Ultimately, the sales forecasting process is a guess—but it’s an educated one. You’ll use the information you already have to create a data-driven forecasting model. How accurate your forecast is depends on your sales team. The sales team uses facts such as their prospects, current market conditions, and their sales pipeline. But they will also use their experience in the field to decide on final numbers for what they think will sell. Because of this, sales leaders are more likely to have better forecasting accuracy than new members of the sales team.

Sales forecast vs. sales goal

Your sales forecast is based on historical data and current market conditions. While you always hope your sales goals are attainable—and you can use data to estimate what your team is capable of—your goals might not line up directly with your forecast. This can be for a number of reasons, including wanting to create stretch goals that push your sales team beyond what they’ve done in the past or big, pie-in-the-sky goals that boost investor confidence.

How to create a sales forecast

There are different sales forecasting methods, and some are simpler than others. With the steps below, you’ll have a basic understanding of how to create a sales forecast template that you can customize to the method of your choice. 

1. Track your business data

Without details from your past sales, you won’t have anything to base your predictions on. If you don’t have past sales data, you can begin tracking sales now to create a sales forecast in the future. The data you’ll need to track includes:

Number of units sold per month

Revenue of each product by month

Number of units returned or canceled (so you can get an accurate sales calculation)

Other items you can track to make your predictions more accurate include:

Growth percentage

Number of sales representatives

Average sales cycle length

There are different ways to use these data points when forecasting sales. If you want to calculate your sales run rate, which is your projected revenue for the next year, use your revenue from the past month and multiply it by 12. Then, adjust this number based on other relevant data points, like seasonality.

Tip: The best way to track historical data is to use customer relationship management (CRM) software. When you have a CRM strategy in place, you can easily pull data into your sales forecast template and make quick projections.

2. Set your metrics

Before you perform the calculations in your sales forecast template, you need to decide what you’re measuring. The basic questions you should ask are:

What is the product or service you’re selling and forecasting for? Answering this question helps you decide what exactly you’re evaluating. For example, you can investigate future trends for a long-standing product to decide whether it’s worth continuing, or you can predict future sales for a new product. 

How far in the future do you want to make projections? You can decide to make projections for as little as six months or as much as five years in the future. The complexity of your sales forecast is up to you.

How much will you sell each product for, and how do you measure your products? Set your product’s metrics, whether they be units, hours, memberships, or something else. That way, you can calculate revenue on a price-per-unit basis.

How long is your sales cycle? Your sales cycle—also called a sales funnel—is how long it takes for you to make the average sale from beginning to end. Sales cycles are often monthly, quarterly, or yearly. Depending on the product you’re selling, your sales cycle may be unique. Steps in the sales cycle typically include:

Lead generation

Lead qualification

Initial contact

Making an offer

Negotiation

Closing the deal

Tip: You can still project customer growth versus revenue even if your company is in its early phases. If you don’t have enough historical data to use for your sales forecast template, you can use data from a company similar to yours in the market. 

3. Choose a forecasting method

While there are many forecasting methods to choose from, we’ll concentrate on two straightforward approaches to provide a clear understanding of how sales forecasting can be implemented efficiently. The top-down method starts with the total size of the market and works down, while the bottom-up method starts with your business and expands out.

Top-down method: To use the top-down method, start with the total size of the market—or total addressable market (TAM). Then, estimate how much of the market you think your business can capture. For example, if you’re in a large, oversaturated market, you may only capture 3% of the TAM. If the total addressable market is $1 billion, your projected annual sales would be $30 million. 

Bottom-up method: With the bottom-up method, you’ll estimate the total units your company will sell in a sales cycle, then multiply that number by your average cost per unit. You can expand out by adding other variables, like the number of sales reps, department expenses, or website views. The bottom-up forecasting method uses company data to project more specific results. 

You’ll need to choose one method to fill in your sales forecast template, but you can also try both methods to compare results.

Tip: The best forecasting method for you may depend on what type of business you’re running. If your company experiences little fluctuation in revenue, then the top-down forecasting method should work well. The top-down model can also work for new businesses that have little business data to work with. Bottom-up forecasting may be better for seasonal businesses or startups looking to make future budget and staffing decisions.

4. Calculate your sales forecast

You’ve already learned a basic way to calculate revenue using the top-down method. Below, you’ll see another way to estimate your projected sales revenue on an annual scale.

Divide your sales revenue for the year so far by the number of months so far to calculate your average monthly sales rate.

Multiply your average monthly sales rate by the number of months left in the year to calculate your projected sales revenue for the rest of the year.

Add your total sales revenue so far to your projected sales revenue for the rest of the year to calculate your annual sales forecast.

A more generalized way to estimate your future sales revenue for the year is to multiply your total sales revenue from the previous year.

Example: Let’s say your company sells a software application for $300 per unit and you sold 500 units from January to March. Your sales revenue so far is $150,000 ($300 per unit x 500 units sold). You’re three months into the calendar year, so your average monthly sales rate is $50,000 ($150,000 / 3 months). That means your projected sales revenue for the rest of the year is $450,000 ($50,000 x 9 months).

5. Adjust for external factors

A sales forecast predicts future revenue by making assumptions about your growth rate based on past success. But your past success is only one component of your growth rate. There are external factors outside of your control that can affect sales growth—and you should consider them if you want to make accurate projections. 

Some external factors you can adjust your calculations around include:

Inflation rate: Inflation is how much prices increase over a specific time period, and it usually fluctuates based on a country’s overall economic state. You can take your annual sales forecast and factor in inflation rate to ensure you’re not projecting a higher or lower number of sales than the economy will permit.

The competition: Is your market becoming more competitive as time goes on? For example, are you selling software during a tech boom? If so, assess whether your market share will shrink because of rising competition in the coming year(s).

Market changes: The market can shift as people change their behavior. Your audience may spend an average of six hours per day on their phones in one year. In the next year, mental health awareness may cause phone usage to drop. These changes are hard to predict, so you must stay on top of market news.

Industry changes: Industry changes happen when new products and technologies come on the market and make other products obsolete. One instance of this is the invention of AI technology.

Legislation: Although not as common, changes in legislation can affect the way companies sell their products. For example, vaping was a multi-million dollar industry until laws banned the sale of vape products to people under the age of 21. 

Seasonality: Many industries experience seasonality based on how human behavior and human needs change with the seasons. For example, people spend more time inside during the winter, so they may be on their computers more. Retail stores may also experience a jump in sales around Christmas time.

Tip: You can create a comprehensive sales plan to set goals for team members. Aside from revenue targets and training milestones, consider assigning each of these external factors to your team members so they can keep track of essential information. That way, you’ll have your bases covered on anything that may affect future sales growth. 

Sales forecast template

Below you’ll see an example of a software company’s six-month sales forecast template for two products. Product one is a software application, and product two is a software accessory. 

In this sales forecast template, the company used past sales data to fill in each month. They projected their sales would increase by 10% each month because of a 5% increase in inflation and because they gained 5% more of the market. They kept their price per unit the same as the previous year.

Putting both products in the same chart can help the company see that their lower-cost product—the software accessory—brings in more revenue than their higher-cost product. The company can then use this insight to create more low-cost products in the future.

Sales forecast examples

Sales forecasting is not a one-size-fits-all process. It varies significantly across industries and business sizes. Understanding this through practical examples can help businesses identify the most suitable forecasting method for their unique needs.

Sales forecasting example 1: E-commerce

In the e-commerce sector, where trends can shift rapidly, intuitive forecasting is often useful for making quick, informed decisions.

Scenario: An e-commerce retailer specializing in fashion accessories is planning for the upcoming festive season.

Trend analysis phase: The team spends the first week analyzing customer feedback and current fashion trends on social media, using intuitive forecasting to predict which products will be popular.

Inventory planning phase: Based on these insights, the next three weeks are dedicated to selecting and ordering inventory, focusing on products predicted to be in high demand.

Sales monitoring and adjustment: As the holiday season approaches, the team closely monitors early sales data, ready to adjust their inventory and marketing strategies based on real-time sales performance.

This approach allows the e-commerce retailer to stay agile , adapting quickly to market trends and customer preferences.

Sales forecasting example 2: Software development

For a software development company, especially one working with B2B clients, opportunity stage forecasting can help predict sales and manage the sales pipeline effectively.

Scenario: A software development company is launching a new project management tool.

Lead generation and qualification phase: In the initial month, the sales team focuses on generating leads, qualifying them, and categorizing potential clients based on their progress through the sales pipeline.

Proposal and negotiation phase: For the next two months, the team works on creating tailored proposals for high-potential leads and enters negotiation stages, using opportunity stage forecasting to predict the likelihood of deal closures.

Closure and review: In the final phase, the team aims to close deals, review the accuracy of their initial forecasts, and refine their approach based on the outcomes.

Opportunity stage forecasting enables the software company to efficiently manage its sales pipeline , focusing resources on the most promising leads and improving their chances of successful deal closures.

Pair your sales forecast with a strong sales process

A sales forecast is only one part of the larger sales picture. As your team members acquire leads and close deals, you can track them through the sales pipeline. A solid sales plan is the foundation of future success.  

Related resources

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How to Do a Sales Forecast for Your Business the Right Way

Posted june 8, 2021 by noah parsons.

New entrepreneurs frequently ask me for advice about forecasting their sales . These entrepreneurs are always optimistic about the future of their new company. However, when it comes to the details, most aren’t sure how to predict future sales and how much money they’re going to make.

It’s an intimidating task, looking into the future. The good thing is, none of us are fortune tellers and none of us know any more about your new business than you do. (If you do happen to be able to see into the future, please just skip the whole startup thing and go play the stock market. It’ll be much easier and make you richer!)

So, my advice is always to just take a deep breath and relax. You’re as well equipped as everyone else to put together a credible, reasonably accurate forecast. Let’s dive right in and figure it out.

What is sales forecasting?

Sales forecasting is the process of estimating future sales with the goal of better informing your decisions. A forecast is typically based on any combination of past sales data, industry benchmarks, or economic trends. It’s a method designed to help you better manage your workforce, ash flow, and any other resources that may affect revenue and sales

It’s typically easier for established businesses to create more accurate sales forecasts based on previous sales data. Newer businesses, on the other hand, will have to rely on market research, competitive benchmarks, and other forms of interest to establish a baseline for sales numbers. 

Why is sales forecasting important?

Your sales forecast is the foundation of the financial story that you are creating for your business. Once you have your sales forecast complete, you’ll be able to easily create your profit and loss statement , c ash flow statement, and balance sheet.

Sales forecasts help you set goals

But beyond just setting the stage for a complete financial forecast, your sales forecast is really all about setting goals for your company . You’re looking to answer questions like:

• What do you hope to achieve in the next month? Year? 5-years? 
• How many customers do you hope to have next month and next year?
• How much will each customer hopefully spend with your company?

Your sales forecast will help you answer all of these questions and potentially any others that involve the future of your business.

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Sales forecasts inform investors

Having a solid sales forecast also provides a picture of your performance and performance milestones for potential investors. Like you, they want to be sure you have established goals and a firm trajectory for your business laid out. The more detailed, organized, and up-to-date your forecast is, the better you explain the position of your business to third parties and even employees.

How to use your sales forecast for budgeting

Your sales forecast is also your guide to how much you should be spending. Assuming you want to run a profitable business , you’ll use your sales forecast to guide what you should be spending on marketing to acquire new customers and how much you should be spending on operations and administration. 

Now, you don’t always need to be profitable, especially if you are trying to expand aggressively. But, you’ll eventually need your expenses to be less than your sales in order to turn a profit.

How detailed should your forecast be?

When you’re forecasting your sales , the first thing you should do is figure out what you should create a forecast for. You don’t want want to be too generic and just forecast sales for your entire company. On the other hand, you don’t want to create a forecast for every individual product or service that you sell.

For example, if you’re starting a restaurant, you don’t want to create forecasts for each item on the menu. Instead, you should focus on broader categories like lunch, dinner, and drinks. If you’re starting a clothing shop, forecast the key categories of clothing that you sell, like outerwear, casual wear, and so on.

You’ll probably want between three to ten categories covering the types of sales that you do. More than ten is going to be a lot of work to forecast and fewer than three probably means that you haven’t divided things up quite enough.

You really can’t get this wrong. After all, it’s just forecasting and you can always come back and adjust your categories later. Just pick a few to get started and move on.

Which forecasting model is best? Top-down or bottom-up?

Before they have much historical sales data, lots of startups make this mistake—and it’s a big one. They forecast “from the top down.” What that means is that they figure out the total size of the market ( TAM, or total addressable market ) and then decide that they will capture a small percentage of that total market.

For example, in 2015, more than 1.4 billion smartphones were sold worldwide. It’s pretty tempting for a startup to say that they’re going to get 1 percent of that total market. After all, 1 percent is such a tiny little number, it’s got to be believable, right?

The problem is that this kind of guessing is not based on any kind of reality. Sure, it looks like it might be credible on the surface, but you have to dig deeper. What’s driving those sales? How are people finding out about this new smartphone company? Of the people that find out about the new company, how many are going to buy?

So, instead of forecasting “from the top-down,” do a “bottom-up” forecast. Just like the name suggests, bottom-up forecasting is more of an educated guess, starting at the bottom and working up to a forecast.

Start by thinking about how many potential customers you might be able to make contact with; this could be through advertising, sales calls, or other marketing methods. This is your SOM (your “share of the market”), the subset of your 1 percent of the market that you will realistically reach—particularly in the first few years of your business. This is your target market .

Of the people you can reach, how many do you think you’ll be able to bring in the door or get onto your website? And finally, of the people that come in the door, get on the phone, or visit your site, how many will buy?

Here’s an example:

• 10,000 people see my company’s ad online
• 1,000 people click from the ad to my website
• 100 people end up making a purchase

Obviously, these are all nice round numbers, but it should give you an idea of how bottom-up forecasting works.

The last step of the bottom-up forecasting method is to think about the average amount that each of those 100 people in our example ends up spending. On average, do they spend $20? $100? It’s O.K. to guess here, and the best way to refine your guess is to go out and talk to your potential customers and interview them. You’ll be surprised how accurate a number you can get with a few simple interviews.

How to create a sales forecast

Keep in mind that your sales forecast is an estimate of the number of goods and services you believe you can sell over a period of time. This will also include the cost to produce and sell those goods and services, as well as the estimated profit you’ll come away with.

We’ll dive into specific methods, assumptions, and questions you’ll need to ask in order to build a viable sales forecast. But to start, here are the general steps you’ll need to take to create a sales forecast:

• List out the goods and services you sell
• Estimate how much of each you expect to sell
• Define the unit price or dollar value of each good or service sold
• Multiply the number sold by the price
• Determine how much it will cost to produce and sell each good or service
• Multiply this cost by the estimated sales volume
• Subtract the total cost from the total sales

This is a super basic rundown of what is included in your sales forecast to give you an idea of what to expect. For example, you may find the need to aggregate similar items into unified categories, if you sell a large variety of items. And if at all possible, try to keep your forecasted items grouped similarly to how they appear on your accounting statements to make updates easier.

Check out this video for a quick overview of how to forecast sales:

Now let’s dive into some specific elements of your forecast you’ll need to define ahead of time.

Should you forecast in units or dollars?

Let’s start by talking about “unit” sales.

A “unit” is simply a stand-in for whatever it is that you are selling. A single lunch at a restaurant would be a unit. An hour of consulting work is also a unit. The word “unit” is just a generic way to talk about whatever it is that you are selling.

Now that’s out of the way, let’s talk about why you should forecast by units.

Units help you think about the number of products, hours, meals, and so on, that you are selling. It’s easier to think about sales this way rather than to think just in dollars (or yen, or pounds, or rand, etc.).

With a dollar-based forecast, you are only thinking about the total amount of money that you’ll make in a given month, rather than the details of the number of units that you are selling and the average price you are selling each unit for.

To forecast by units, you predict how many units you’re going to sell each month—using the bottom-up method of course. Then, you figure out what the average price is going to be for each unit. Multiply those two numbers together and you have the total sales you plan on making each month.

For example, if you plan on selling 1,000 units at $20 each, you’ll make $20,000.

When you forecast by units, you have a couple of different variables to play with: What if I’m able to sell more units? What if I raise or lower my prices?

Also, there’s another benefit: At the end of a month of sales, I can look back at my forecast and see how I did compared to the forecast in greater detail. Did I meet my goals because I sold more units? Or did I sell for a higher price than I thought I would? This level of detail helps you guide your business and grow it moving forward.

Sales forecast assumptions

One thing to remember is that your sales forecast is built on assumptions. You’re not predicting the future, but aggregating information to help define your future outlook. These assumptions are always changing, meaning that you’ll need to have a pulse on the following:  

Market conditions

Having a general understanding of the macro effects on your business can help you better predict overall growth. A growing or shrinking market can either provide a low or high ceiling for potential sales increases. So, you need to understand how your business can react to any changes.

What does the broader market look like? Is the economy slowing or growing? Is the industry you operate in seeing an influx of competition? Maybe there’s a labor or material shortage? Are there new customers you now have access to?

Products and services

You may find yourself making regular changes to your products and services. This can be sales factors that impact the customer, or production factors that impact the overall cost. 

Are you making any changes or updates to current offerings? Are you launching a new product or service that compliments or disrupts your existing sales? Are you adjusting prices or sales channels? Are you able to decrease the cost of production? Or are expenses rising due to material, labor, or other production costs?

Seasonality

Depending on what you’re selling, you may find dips or increases in sales at specific times during the year. This seasonality may have to do with the weather, holidays, product/feature releases, or a number of other predictable factors. 

If you have been operating for a while, you can likely look at your accounting data to identify any trends. If you’re a new business look to your competitors to see how they act during specific times of the year to help you identify these trends earlier on.

Marketing efforts

How much you spend on marketing, and even your messaging may have an impact on your overall sales. Make sure that you connect any performance changes to marketing efforts that may affect your performance.

Are you launching a new marketing campaign? Are you spending more or less on advertising? Are you adjusting your targeting for digital ads? Are you branching out or removing specific marketing channels from your overall strategy?

Regulatory changes

You may find that specific laws or regulations directly impact your industry. It’s difficult to anticipate what legislation will provide a negative or positive impact, and just how often this type of regulatory change may occur. The best thing you can do is keep your ear to the ground, and be ready to adjust expenses or sales when any changes appear to make traction.

How far forward should you forecast?

I recommend that you forecast monthly for 12 months into the future and then just develop an annual sales forecast for another three to five years.

The further your forecast into the future, the less you’re going to know and the less benefit it’s going to have for you. After all, the world is going to change, your business is going to change, and you’ll be updating your forecast to reflect those changes.

12 months from now is far enough into the future to guess. You’ll have to update your forecasts regularly with actual performance to help keep them accurate. 

And don’t forget, all forecasts are wrong—and that’s O.K. Your forecast is just your best guess at what’s going to happen. As you learn more about your business and your customers, you can change and adjust your forecast. It’s not set in stone.

Why using visuals will make forecasting easier

My final word of advice is to make sure that you graph your monthly sales with a chart.

A chart will make it easy to see how your sales might dip during a slow period of the year and then grow again during your peak season. A chart will also highlight potentially unreasonable guesses at your sales growth. If for example, you show a big jump in sales from one month to the next, you should be able to back this up with a strategy that’s going to deliver those sales.

Adjust your forecasts based on actual results

Your sales forecast isn’t done when you start sharing it with lenders and investors. Instead, smart businesses use their sales forecast to measure their progress and ensure that they’re on the right track. Their sales forecast becomes a live forecast . An up-to-date management tool that helps them run their business better.

The easiest way to convert your sales forecast into a management tool is to have a monthly financial review meeting where you look at your business’s finances. You shouldn’t just look at your accounting system, though. You should compare the numbers from your accounting software to your forecast and see if you’re on track. 

Are you exceeding your goals? Or maybe you’re falling a little bit short. Either way, knowing if you’re meeting your goals or not will help you determine if you need to make some shifts in strategy. This way, your business numbers drive your strategy.

Forecasting is easier with LivePlan

Tools like LivePlan can help with this. LivePlan uses a smart dashboard to automatically compare your forecast to your numbers from your accounting system—no cutting and pasting or complicated spreadsheets required. And with LivePlan’s LiveForecast feature , you can update the forecasts within your Profit and Loss Statement, with the push of a button. 

This allows you to spend less time updating and more time analyzing performance to make better decisions. In fact, the LiveForecast feature allows you to expand the details of your performance and identify the variance in performance within your statements. You’ll know your current cash position and the impact on projected year-end totals at a glance. It provides you with enough information to then explore the dashboard with questions and potential steps in mind.

Sales forecasting isn’t as difficult as you think

Just remember that sales forecasting doesn’t have to be hard. Anyone can do it and you, as an entrepreneur, are the most qualified to do it for your business. You know your customers, and you know your market, so you can forecast your sales.

Editor’s note: This article was originally published in March 2016, and was updated for 2021.

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Noah Parsons

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The beginner’s guide to sales forecasting

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The platform for orchestrating performance.

Learn how to create an accurate sales forecast with key features and step-by-step examples in our sales forecasting guide

Sales forecasting  is the process of estimating future revenue by predicting how much of a product or service will sell in the next week, month, quarter, or year. At its simplest, a sales forecast is a projected measure of how a market will respond to a company’s go-to-market efforts.

Whether you’re new to sales forecasting or a seasoned pro in need of a refresher, use this blog as your sales forecasting guide.

Why is sales forecasting important?

Forecasts are about the future. It’s hard to overstate how important it is for a company to produce an accurate sales forecast. Privately held companies gain confidence in their business when leaders can trust forecasts. For publicly traded companies, accurate forecasts confer credibility in the market.

Sales forecasting adds value across an organization. Finance relies on forecasts to develop budgets for capacity plans and hiring, and production uses sales forecasts to plan their cycles. Forecasts help sales operations with territory and quota planning, supply chain with material purchases and production capacity, and sales strategy with channel and partner strategies.

There are many types of sales forecasts depending on your go-to-market strategy such as:

• Opportunity forecasting
• Retail sales forecasting
• E-commerce sales forecasting
• Services forecasting
• Consumption-based forecasting
• Run-rate forecasting

These are only a few examples. Unfortunately, at many companies these methodologies stay disconnected, which can produce adverse business outcomes. If information from a sales forecast isn’t shared, for example, product marketing may create demand plans not aligned with sales quotas or sales attainment levels. This leaves a company with too much inventory, too little inventory, or inaccurate sales targets — all mistakes that hurt the bottom line. Committing to regular, quality sales forecasting can help avoid such expensive mistakes.

Close the gap between how you run your business and how you plan for it. Check out our guide for more reliable sales forecasting.

How to accurately forecast sales

To create an accurate sales forecast, follow these five steps:

Assess historical trends

Examine sales from the previous year. Break the numbers down by price, product, rep, sales period, and other relevant variables. Build those into a “sales run rate,” which is the amount of projected sales per sales period. This forms the basis of your sales forecast.

Incorporate changes

This is where the forecast gets interesting. After you have your basic sales run rate, you want to modify it according to several changes you see coming. For example:

• Pricing:  Are you changing the prices of any products? Are there competitors who may force you to modify your pricing schemes?
• Customers:  How many new customers do you anticipate landing this year? How many did you land the previous year? Have you hired new reps, gained quantifiable brand exposure, or increased the likelihood of gaining new customers?
• Promotions:  Will you be running any new promotions this year? What is the ROI on previous promotions, and how do you expect the new ones to compare?
• Channels:  Are you opening any new channels, locations, or territories?
• Product changes:  Are you introducing new products or changing your product suite? How long did it take for previous products to gain traction in the market? Do you expect new products to act similarly?

Anticipate market trends

Now is the time to project all the market events you’ve been tracking. Will you or your competitors be going public? Do you anticipate any acquisitions? Will there be legislation that changes how your product is received?

Monitor competitors

You’re likely doing this already, but take into account the products and campaigns of competitors, especially the major players in the space. Also check around to see if new competitors may be entering your market.

Include business plans

Add in all your business’s strategic plans. Are you in growth mode? What are hiring projections for the year? Are there any new markets you’re targeting or any new marketing campaigns? How might all this impact the forecast?

Once you’ve quantified these things, build them into your forecast. You want everything to be itemized, so you can understand the forecast in as granular a level as possible. Different stakeholders in the company will likely want to understand different aspects of the forecast, so it behooves you to be able to zoom in or out as far as needed.

Keys to success in sales forecasting

Improving the accuracy of your sales forecasts and the efficiency of the forecast methodology depends on multiple factors, including strong organizational coordination, automation, reliable data, and an analytics-based process. Ideally, sales forecasts should be:

• Collaborative.  Leaders should synthesize input from a variety of sales roles, business units, and regions. Frontline sales teams can be of great value here, providing a perspective on the market you hadn’t considered before. 
• Data-driven.  Predictive analytics can reduce the impact of subjectivity, which is often more backward-looking than forward-looking. Using common data definitions and baselines will foster alignment and save time. 
• Produced in real time.  Investing in the real-time capability to course-correct or reforecast allows sales leaders to quickly gain insight so they can make more informed decisions. This enables them to quickly and accurately update the forecast based on demand or market changes.
• Single-sourced with multiple views.  Generating the forecast as a single source of data gives you great visibility into rep, region, and company performance, and helps align different business functions across the organization. 
• Improved over time.  Use the insights provided by an improved sales forecasting process to create more refined future forecasts where accuracy improves over time against a set of accuracy goals.

Companies with more advanced forecasting processes and tools perform better than their peers because they more deeply understand their business drivers and can shape the outcome of a sales period before the period closes.

Top sales forecasting challenges

It can be difficult to produce a consistently accurate sales forecast. Here are some of the top sales forecasting challenges to avoid:

Accuracy and mistrust

When companies use spreadsheets for sales forecasting, they can run into issues with accuracy, which in turn creates a less trustworthy forecast.

Subjectivity

Although producing a quality sales forecast does rely to a small degree on the forecaster making good decisions about how to use the data, in general, companies rely more on judgment and less on credible predictive analytics than they should.

When a sales forecast isn’t generated in a way useful for stakeholders across the company, it becomes far less effective than it should be. A good forecast should produce relevant and understandable data for multiple teams.

Inefficiency

Sales forecasts can be especially difficult to produce when inefficiencies are built into the forecasting process. For example, when a forecast has multiple owners, or the forecast process is not clearly spelled out with a standard set of rules, there can be disputes about how the forecast will be produced.

Company forecasts across the enterprise

To forecast across the enterprise, a company needs different elements from each business function. Here’s what different functions can contribute to the sales forecast:

• Sales:   Provides the bottom-up view, using data from the CRM and PRM, building in judgment from sales leaders. Sales can manage this process through the sales operations function, using the right tools and reporting. 
• Finance:   Provides macroeconomic guidance and works with the product teams. Finance can help integrate the forecast with their financial planning software. 
• Marketing:   Provides macro-market guidance, especially in industries like telecom, retail, and CPG. Marketing can also provide finance teams with market data. 
• Supply Chain:   Provides input on supplies and production. 
• HR:  Assists with sales capacity planning and headcount forecasting based on attrition and staffing needs across every function that touches revenue such as contact centers, professional services, and retail stores.
• IT:  Assists sales forecasting by providing platforms, data, integration, and technical support.

Features to look for in sales forecasting software

Best-in-class sales forecasting software should be able to immediately improve the accuracy of your forecasts and make the forecasting process more efficient.

• Execute sales forecast simulations and outcomes.  Make changes to drivers and execute sales forecast simulations to project future impact on sales performance. 
• Analyze trends, changes, and seasonality of the sales forecast over time.  Develop time-based dashboards and key performance indicators (KPIs), such as velocity calculations, trending analytics, and seasonality fluctuations. 
• Model and analyze “what-if” scenarios . Create “what-if” scenarios and modeling to analyze the impact to the sales forecast if a specific business, economic, or competitive situation were to occur.
• Build sales forecasting calculations with familiar formulas . Apply an easy-to-use formula builder to configure sales forecast benchmarks using familiar formulas and syntax. 
• Snapshot Salesforce CRM accounts and opportunities to compare period-over-period . Compare week-over-week, month-over-month, and year-over-year changes to current periods. 
• Compare forecasts based on multiple modeling techniques.  Create sales forecasts based on qualitative, time series analysis and projection, and casual modeling techniques while determining the degree of uncertainty. 
• Forecast across geographies, products, and accounts.  Develop sales forecasts by geographic locations, product lines, and accounts, or change any of these dimensions to analyze the sales forecast at any granularity of these hierarchies.
• Analyze performance with data visualization.  With built-in dashboards, reporting, and analytics with data visualization you can analyze sales forecast and sales performance metrics to make better decisions with actionable insights.

Why use Anaplan for sales forecasting?

The Anaplan platform is uniquely configured to improve sales forecasting . By putting all relevant employees — salespeople, sales leaders, ops teams, finance, supply chain, marketing, and executives — on the same platform, companies can do the following:

• Increase accountability and ensure the sales team reports sales pipeline activity more accurately.  Identify sales deals at risk, eliminate “sandbaggers,” and reduce overcommits. 
• Standardize sales forecasting and pipeline management.  Provide a single line of sight across the entire organization so everyone has a view into revenue projections, sales projections, and operational insight. 
• Create accurate and trusted sales forecasts.  Enable functional leaders to make better and more informed decisions by providing accurate and trusted sales forecasting to all business units, including sales, finance, operations, HR, and marketing.
• Access data-driven sales benchmarking and trend analysis.  Enable sales leaders to use historical and current sales performance as a benchmark to predict future sales results. Make changes to functional plans and implement these changes across all other business models.

By adopting a  Connected Planning  approach, bringing together people, data, and processes from across the enterprise, companies can produce an accurate sales forecast that connects teams throughout the company. 

Additional sales forecasting resources

Looking for more sales forecasting guidance. Check out these insightful resources:

• White paper: The finance leader’s guide to reliable sales forecasting
• Case study: DocuSign transforms sales forecasting with the Anaplan platform
• Webinar: Increase forecast accuracy with sales planning optimization

Explore our demo series to learn more about Anaplan for sales forecasting

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How to Forecast Sales

Yes, you can forecast your sales. Don’t think you need to have an MBA degree or be a CPA. Don’t think it’s about sophisticated financial models or spreadsheets. I was a vice president of a market research firm for several years, doing expensive forecasts, and I saw many times that there’s nothing better than the educated guess of somebody who knows the business well. All those sophisticated techniques depend on data from the past. And the past, by itself, isn’t the best predictor of the future. You are. So let’s look at how to forecast sales, step by step.

Your sales forecast won’t accurately predict the future. We know that from the start. What you want is to understand the sales drivers and interdependencies, to connect the dots, so that as you review plan vs. actual results every month, you can easily make course corrections.

If you think sales forecasting is hard, try running a business without a forecast. That’s much harder.

Your sales forecast is also the backbone of your business plan. People measure a business and its growth by sales, and your sales forecast sets the standard for expenses, profits and growth. The sales forecast is almost always going to be the first set of numbers you’ll track for plan vs. actual use, even if you do no other numbers.

If nothing else, just forecast your sales, track plan vs. actual results, and make corrections; that’s already business planning.

Match Your Forecast to Your Accounting

It should be obvious: Make sure the way you organize the sales forecast in rows or items or groups matches the way your accounting (or bookkeeping) tracks them.

Match your chart of accounts, which is what accountants call your list of items that show up in your financial statements.

If the accounting divides sales into meals, drinks, and other, then the business plan should divide sales into meals, drinks, and other. So if your chart of accounts divides sales by product or service groups, keep those groups intact in your sales forecast. If bookkeeping tracks sales by product, don’t forecast your sales by channel instead.

If you’re planning for a startup business, coordinate the bookkeeping categories with the forecasting categories.

Get your last Income Statement (also called Profit & Loss) and keep it in view while you develop your future projections.

• If you don’t have more than 20 or so each rows of sales, costs, and expenses, then make the rows in the projected statement match the rows in the accounting.
• If your accounting summarizes categories for you – most systems do – consider using the summary categories in your business plan. Accounting needs detail, while planning needs a summary.

If your categories in the projections don’t match the accounting output, you’re not going to be able to track plan vs. actual well. It will take retyping and recalculating. And you’ll lose the most valuable business benefit of business planning: management, steering your company.

The math is simple

Normally your sales forecast will group sales into a few manageable rows of sales and show projected units, prices, and sales monthly for the next 12 months and annually for the second and third years in the future. Here’s a quick example from the bicycle retailer named Garrett I’ve used in other examples (with columns for April-November hidden on purpose, to make viewing easier):

The math for a sales forecast is simple.

• Multiply units times prices to calculate sales. For example, unit sales of 36 new bicycles in March multiplied by $500 average revenue per bicycle means an estimated $18,000 of sales for new bicycles for that month.
• Total Unit Sales is the sum of the projected units for each of the five categories of sales.
• Total Sales is the sum of the projected sales for each of the five categories of sales.
• Calculate Year 1 totals from the 12 month columns. Units and sales are sums of the 12 columns, and price is the average, calculated by dividing sales by units.
• The numbers for Year 2 and Year 3 are just single columns; unless you have a special case, projecting monthly results for two and three years hence is overkill. It’s a problem of diminishing returns; you don’t get enough value to justify the time it takes. Other experts will disagree, by the way; and there may be special cases in which extended monthly projections are worth the effort.

Estimate Direct Costs

A normal sales forecast includes units, price per unit, sales, direct cost per unit, and direct costs. Direct costs are also called COGS, cost of goods sold, and unit costs.

Most people learn COGS in Accounting 101. That stands for Cost of Goods Sold, and applies to businesses that sell goods. COGS for a manufacturer include raw materials and labor costs to manufacture or assemble finished goods. A bookstore’s COGS include what the store owner pays to buy books. COGS for a bicycle store owner are what he paid for the bicycles, accessories, and clothing he sold during the month. Direct costs are the same thing for a service business, the direct cost of delivering the service. So, for example, it’s the gasoline and maintenance costs of a taxi ride.

Direct costs are specific to the business. The direct costs of a bookstore are its COGS, what it pays to buy books from a distributor. The distributor’s direct costs are COGS, what it paid to get the books from the publishers. The direct costs of the book publisher include the cost of printing, binding, shipping, and author royalties. The direct costs of the author are very small, probably just printer paper and photocopying; unless the author is paying an editor, in which case what the editor was paid is part of the author’s direct costs.

The costs of manufacturing and assembly labor are always supposed to be included in COGS. And some professional service businesses will include the salaries of their professionals as direct costs. In that case, the accounting firm, law office, or consulting company records the salaries of some of their associates as direct costs.

The illustration below shows how Garrett uses estimated margins to project the direct costs for his bicycle store. For the highlighted estimates, the direct entry for bicycles unit cost is the product of multiplying the price by 68 percent. The total direct costs for bicycles in January are the result of multiplying 30 units by $340 per unit.

Some Quick Notes About Standards

Timing matters.

Standard accounting and financial analysis have rules about sales and direct costs and timing. A sale is when the ownership of the goods changes hands, or the service is performed. That seems simple enough but what happens sometimes is people confuse promises with sales. In the bike store example, if a customer tells Garrett in May that he is definitely going to buy 5 bicycles in July, that transaction should not be part of sales for May. Garrett should put those 5 bicycles into his July forecast and then they will actually be recorded as sales in the bookkeeping actual sales in July when the transaction takes place. In a service business, when a client promises in November to start a monthly service in January, that is not a November sale.

Direct costs also happen when the goods change hands. Technically, according to accounting standards (called accrual accounting), when Garrett the bike storeowner buys a bicycle he wants to sell, the money he spent on it remains in inventory until he sells it. It goes from inventory to direct costs for the income statement in the month in which it was sold. If it is never sold, it never affects profit or loss, and remains an asset until some day when the accountants write off old never-sold obsolete inventory, at which time its lowered value becomes an expense. In that case it was never a direct cost.

What’s Accrual Accounting and Why You Care

Business accounting is either cash basis or accrual . I hate how attractive “cash basis” sounds, because accrual is way better, and easier to manage too. Cash basis accounting only works right if you absolutely always pay immediately for every business purchase, and you never buy something before you sell it, and all of your customers pay you in full whenever they buy something from you. So accrual is better.

Here’s why, in a few obvious examples.

• You make a sale when you deliver the goods. If the customer doesn’t pay you immediately, in cash basis nothing is recorded. The sale doesn’t even show up in your books until the customer pays. In accrual, you record the accrued amount as Accounts Receivable, so you keep track of the amount, the date, and the customer who owes it to you. It’s obvious that unless you never sell without immediate payment, accrual basis is better.
• You order some goods. When you receive them, you don’t pay for them. You owe the money. You have an invoice to pay. In cash basis, nothing happens until you pay up. In accrual basis, you record the accrued amount as Accounts Payable, along with the date, a record of what you bought, and who and when you are supposed to pay. So cash basis is better only if you pay everything immediately; all normal businesses need accrual.

I hate the fact that the accounting standards set a few generations ago chose to call it “cash basis” when you don’t record money owed into your books until it’s paid; or money you owe until you pay it. It’s a terrible idea to keep that information in your head instead of in your bookkeeping. That causes many mistakes as we business owners fail to keep track and remind ourselves of these outstanding obligations. And yet, ironically, they call that “cash basis” accounting. I do wish that the right way to do it, which is accrual accounting, didn’t have such an off-putting name.

Gross Margin

Once you have sales forecast and direct costs, you can calculate your estimated gross margin. Gross Margin is sales less direct costs. Gross Margin is a useful basis of comparison between different industries and between companies within the same industry. You can find guidelines and rules of thumb for different industries that give you an industry profile or average gross margin for different industries. For example, industry profiles will tell you that the average gross margin for retail sporting goods is 43%. Every business is different, but knowing the standards and averages gives you some useful comparisons.

The distinction isn’t always obvious. For example, manufacturing and assembly labor are supposed to be included in direct costs, but factory workers are paid sometimes when there is no job to work on. And some professional firms put lawyers’ accountants’ or consultants’ salaries into direct costs. These are judgment calls. When I was a young associate in a brand-name management consulting firm, I had to assign all of my 40 hour work week to specific consulting jobs for cost accounting.

Garrett can easily calculate the gross margin he’s projecting with his sales forecast. The illustration below shows his simple calculation of gross margin using his sales and direct costs.

How do I know what numbers to use?

But how do you know what numbers to put into your sales forecast? The math may be simple, yes, but this is predicting the future; and humans don’t do that well. Don’t try to guess the future accurately for months in advance. Instead, aim for making clear assumptions and understanding what drives sales, such as web traffic and conversions, in one example, or the direct sales pipeline and leads, in another. And you review results every month, and revise your forecast. Your educated guesses become more accurate over time.

Use experience and past results

• Experience in the field is a huge advantage . In the example above, Garrett the bike storeowner has ample experience with past sales. He doesn’t know accounting or technical forecasting, but he knows his bicycle store and the bicycle business. He’s aware of changes in the market, and his own store’s promotions, and other factors that business owners know. He’s comfortable making educated guesses. In another example that follows, the café startup entrepreneur makes guesses based on her experience as an employee.
• Use past results as a guide . Use results from the recent past if your business has them. Start a forecast by putting last year’s numbers into next year’s forecast, and then focus on what might be different this year from next. Do you have new opportunities that will make sales grow? New marketing activities, promotions? Then increase the forecast. New competition, and new problems? Nobody wants to forecast decreasing sales, but if that’s likely, you need to deal with it by cutting costs or changing your focus.
• Start with your best guess, and follow up . Update your forecast each month. Compare the actual results to the forecast. You will get better at forecasting. Your business will teach you.

How to Forecast a New Business or New Product

What? You say you can’t forecast because your business or product is new? Join the club. Lots of people start new businesses, or new groups or divisions or products or territories within existing businesses, and can’t turn to existing data to forecast the future.

Think of the weather experts doing a 10-day forecast. Of course they don’t know the future, but they have some relevant information and they have some experience in the field. They look at weather drivers such as high and low pressure areas, wind directions, cloud formations, storms gathering elsewhere. They consider past experience, so they know how these same factors have generally behaved in the past. And they make educated guesses. When they project a high of 85 and low of 55 tomorrow, those are educated guesses.

You do the same thing with your new business or new product forecast that the experts do with the weather. You can get what data is available on factors that drive your sales, equivalent to air pressure and wind speeds and cloud formations. For example:

• To forecast sales for a new restaurant (there is a detailed example coming in the next section ), first draw a map of tables and chairs and then estimate how many meals per mealtime at capacity, and in the beginning. It’s not a random number; it’s a matter of how many people come in. So a restaurant that seats 36 people at a time might assume it can sell a maximum of 50 lunches when it is absolutely jammed, with some people eating early and some late for their lunch hours. And maybe that’s just 20 lunches per day the first month, then 25 the second month, and so on. Apply some reasonable assumption to a month, and you have some idea.
• To forecast sales for a new mobile app, you might get data from the Apple and Android mobile app stores about average downloads for different apps. And a good web search might reveal some anecdotal evidence, blog posts and news stories perhaps, about the ramp-up of existing apps that were successful. Get those numbers and think about how your case might be different. And maybe you drive downloads with a website, so you can predict traffic on your website from past experience and then assume a percentage of web visitors who will download the app (The following sections on Sample Sales Forecast for a Website and Sample Sales Forecast for Email Marketing offer more examples).

So you take the information related to what I’m calling sales drivers, and apply common sense to it, human judgment, and then make your educated guesses. As more information becomes available — like the first month’s sales, for example – you add that into the mix, and revise or not, depending on how well it matches your expectations. It’s not a one-time forecast that you have to live with as the months go by. It’s all part of the lean planning process.

Sales forecast depends on product/service and marketing

Never think of your sales forecast in a vacuum. It flows from the strategic action plans with their assumptions, milestones and metrics. Your marketing milestones affect your sales. Your business offering milestones affect your sales. When you change milestones — and you will, because all business plans change — you should change your sales forecast to match.

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Never think of your sales forecast in a vacuum. It flows from the strategic action plans with their assumptions, milestones and metrics. Your marketing milestones affect your sales. Your business offering milestones affect your sales. When you change milestones — and you will, because all business plans change

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What is Sales Planning? How to Create a Sales Plan

Published: December 06, 2023

Sales planning is a fundamental component of sound selling. After all, you can‘t structure an effective sales effort if you don’t have, well, structure . Everyone — from the top to the bottom of a sales org — benefits from having solid, actionable, thoughtfully organized sales plans in place.

This kind of planning offers clarity and direction for your sales team — covering everything from the prospects you‘re trying to reach to the goals you’re trying to hit to the insight you're trying to deliver on.

But putting together one of these plans isn‘t always straightforward, so to help you out, I’ve compiled this detailed guide to sales planning — including expert-backed insight and examples — that will ensure your next sales plan is fundamentally sound and effective.

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In this post, we'll cover:

What is a sales plan?

Sales planning process.

• What goes in a sales plan template?

How to Write a Sales Plan

Tips for creating an effective sales plan, sales plan examples, strategic sales plan examples.

A sales plan lays out your objectives, high-level tactics, target audience, and potential obstacles. It's like a traditional business plan but focuses specifically on your sales strategy. A business plan lays out your goals — a sales plan describes exactly how you'll make those happen.

Sales plans often include information about the business's target customers, revenue goals, team structure, and the strategies and resources necessary for achieving its targets.

Free Sales Plan Template

Outline your company's sales strategy in one simple, coherent sales plan.

• Target Market
• Prospecting Strategy

What are the goals of an effective sales plan?

And if (or more likely when ) those goals change over time, you need to regularly communicate those shifts and the strategic adjustments that come with them to your team.

Your sales strategy keeps your sales process productive — it offers the actionable steps your reps can take to deliver on your vision and realize the goals you set. So naturally, you need to communicate it effectively. A sales plan offers a solid resource for that.

For instance, your sales org might notice that your SDRs are posting lackluster cold call conversion rates. In turn, you might want to have them focus primarily on email outreach, or you could experiment with new sales messaging on calls.

Regardless of how you want to approach the situation, a thoughtfully structured sales plan will give both you and your reps a high-level perspective that would inform more cohesive, effective efforts across the team.

An effective sales org is a machine — one where each part has a specific function that serves a specific purpose that needs to be executed in a specific fashion. That's why everyone who comprises that org needs to have a clear understanding of how they specifically play into the company's broader sales strategy.

Outlining roles and responsibilities while sales planning lends itself to more efficient task delegation, improved collaboration, overlap reduction, and increased accountability. All of which amount to more streamlined, smooth, successful sales efforts.

Sales planning can set the framework for gauging how well your team is delivering on your sales strategy. It can inform the benchmarks and milestones reps can use to see how their performance stacks up against your goals and expectations.

It also gives sales leadership a holistic view of how well a sales org is functioning as a whole — giving them the necessary perspective to understand whether they have the right people and tools in place to be as successful as possible.

Sales planning isn‘t (and shouldn’t) be limited to the actual sales plan document it produces. If that document is going to have any substance or practical value, it needs to be the byproduct of a thorough, well-informed, high-level strategy.

When sales planning, you have some key steps you need to cover — including:

• Gather sales data and search for trends.
• Define your objectives.
• Determine metrics for success.
• Assess the current situation.
• Start sales forecasting.
• Identify gaps.
• Ideate new initiatives.
• Involve stakeholders.
• Outline action items.

When putting this list together, I consulted  Zach Drollinger — Senior Director of Sales at edtech provider Coursedog — to ensure the examples detailed below are sound and accurate.

Step 1: Gather sales data and search for trends.

To plan for the present and future, your company needs to look to the past. What did sales look like during the previous year? What about the last five years? Using this information can help you identify trends in your industry. While it's not foolproof, it helps establish a foundation for your sales planning process.

For the sake of example, let‘s say that I’m a new sales director for an edtech company that sells curriculum planning software to higher education institutions. My vertical is community colleges, and my territory is the East Coast.

Once I assume this new role, I‘m going to want to gather as much context as possible about my vertical and how my company has approached it historically. I would pull information about how we’ve sold to this vertical.

How much new business have we closed within it in the past five years? How does that compare to how we perform with other kinds of institutions? Are we seeing significant churn from these customers?

I would also want to get context about the general needs, interests, and pain points of the kinds of institutions I‘m selling to. I’d look for insight into figures like degree velocity, staff retention, and enrollment.

Ultimately, I would get a comprehensive perspective on my sales process — a thorough understanding of where I stand and what my prospects are dealing with. That will ensure that I can deliver on the next step as effectively as possible.

Step 2: Define your objectives.

How do you know your business is doing well if you have no goals? As you can tell from its placement on this list, defining your goals and objectives is one of the first steps you should take in your sales planning process. Once you have them defined, you can move forward with executing them.

To extend the example from the previous step, I would leverage the context I gathered through the research I conducted about both my and my prospect's circumstances. I would start setting both broader goals and more granular operational objectives .

For instance, I might want to set a goal of increasing sales revenue from my vertical. From there, I would start putting together the kind of specific objectives that will facilitate that process — like connecting with administrators from at least 30 community colleges, booking demos with at least 10 schools, and successfully closing at least five institutions.

Obviously, those steps represent a streamlined (and unrealistically straightforward) sales process, but you get the idea — I would set a concrete goal, supplemented by SMART objectives , that will serve as a solid reference point for my org's efforts as the sales process progresses.

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Step 3: Determine metrics for success.

Every business is different. One thing we can all agree on is that you need metrics for success. These metrics are key performance indicators (KPIs). What are you going to use to determine if your business is successful? KPIs differ based on your medium, but standard metrics are gross profit margins, return on investment (ROI), daily web traffic users, conversion rate, and more.

I kind of covered this step in the previous example, but it still warrants a bit more elaboration. The “M” in SMART goals (“measurable”) is there for a reason. You can‘t tell if your efforts were successful if you don’t know what “successful” actually means.

The edtech sales example I‘ve been running with revolves mostly around me assuming ownership of an existing vertical and getting more out of it. So it’s fair to assume that sales growth rate — the increase or decrease of sales revenue in a given period, typically expressed as a percentage — would be an effective way to gauge success.

I might want to structure my goals and objectives around a sales growth rate of 20% Y/Y within my vertical. I would make sure my org was familiar with that figure and offer some context about what it would take to reach it — namely, how many institutions we would need to close and retain.

Step 4: Assess the current situation.

How is your business fairing right now? This information is relevant to determining how your current situation holds up to the goals and objectives you set during step two. What are your roadblocks? What are your strengths? Create a list of the obstacles hindering your success. Identify the assets you can use as an advantage. These factors will guide you as you build your sales plan.

Continuing the edtech example, I would use the historical context I gathered and the objectives I set to frame how I look at my current circumstances. I might start by considering my goal of increasing revenue by 20% Y/Y. In that case, I would look at the company's retention figures — ideally, that would give me a sense of whether that needs to be a major area of focus.

I would also try to pin down trends in the colleges that we've already closed — are there any pain points we consistently sell on? I might take a closer look at how we demo to see if we might be glossing over key elements of our value proposition. Maybe, I would use conversation intelligence to get a better sense of how reps are handling their calls.

Ultimately, I would try to identify why we're performing the way we are, the inefficiencies that might be resulting from our current strategy, and how we can best set ourselves up to sell as effectively as possible.

Step 5: Start sales forecasting.

Sales forecasting is an in-depth report that predicts what a salesperson, team, or company will sell weekly, monthly, quarterly, or annually. While it is finicky, it can help your company make better decisions when hiring, budgeting, prospecting, and setting goals.

After the COVID-19 pandemic, economics has become less predictable. Claire Fenton , the owner of StrActGro — a professional training and coaching company — states, “Many economic forecasters won't predict beyond three months at a time.” This makes sales forecasting difficult. However, there are tools at your disposal to create accurate sales forecasts .

In our edtech example, I would approach this step by trying to estimate how my sales org is going to fare with the specific vertical we‘re pursuing in the time window we’ve allotted.

The method I decide to go with will depend on factors like how many concrete opportunities we have lined up — in addition to elements like the kind of historical data we have handy, how the reps working these deals tend to perform, and the degree of insight we have about our potential customers.

Let's say I consider those factors and decide to run something called a multivariable analysis. In that case, I could start by taking stock of the opportunities my reps have lined up. Then, I could look at the reps working those deals, their typical win rates, and the time they have to close — among other factors.

For instance, I might calculate that a rep working with a particularly large institution has a 50% chance of closing within the window we‘ve allotted. Using that insight, we could attribute 50% of the potential deal size to our forecast — we’d repeat that process with all of the opportunities in question and ideally get a solid sense of the revenue we can expect to generate in this window.

Step 6: Identify gaps.

When identifying gaps in your business, consider what your company needs now and what you might need in the future. First, identify the skills you feel your employees need to reach your goal. Second, evaluate the skills of your current employees. Once you have this information, you can train employees or hire new ones to fill the gaps.

Continuing the edtech example, let‘s say my forecast turned up results that weren’t in keeping with what we need to reach our goals. If that were the case, I would take a holistic look at our process, operations, and resources to pin down inefficiencies or areas for improvement.

In my search, I find that our sales content and marketing collateral are dated — with case studies that don‘t cover our product’s newest and most relevant features. I also might see that our reps don‘t seem to have too much trouble booking demos, but the demos themselves aren’t converting due to a lack of training and inconsistent messaging.

And finally, I find that a lack of alignment with marketing has prospects focusing on unrealistic outcomes our sales team can‘t deliver on. Once I’ve identified those gaps, I would start to hone in on ways to remedy those issues and improve those elements.

Step 7: Ideate new initiatives.

Many industry trends are cyclical. They phase in and out of “style.” As you build your sales plan, ideate new initiatives based on opportunities you may have passed on in previous years.

If your business exclusively focused on word-of-mouth and social media marketing in the past, consider adding webinars or special promotions to your plan.

In the edtech example we've been running with, I would likely ideate initiatives based on the gaps I identified in the previous step. I would start a push to ensure that our sales content and marketing collateral are up-to-date and impressive.

I would also consider new training programs to ensure that our coaching infrastructure is prioritizing how to conduct effective demos. Finally, I would start to work on a plan with marketing to ensure our messaging is aligned with theirs — so we can make sure prospects' expectations are realistic and effective.

One way or another, I would take the gaps I found and find concrete, actionable ways to fill them. I would make sure that these initiatives aren't abstract. Just saying, " We're going to be better at demos," isn‘t a plan — it’s a sentiment, and sentiments don't translate to hard sales.

Step 8: Involve stakeholders.

Stakeholders are individuals, groups, or organizations with a vested interest in your company. They are typically investors, employees, or customers and often have deciding power in your business. Towards the end of your sales planning process, involve stakeholders from departments that affect your outcomes, such as marketing and product. It leads to an efficient and actionable sales planning process.

This step is sort of an extension of the previous two — once I‘ve identified the key issues and roadblocks obstructing my edtech startup’s sales org, I would start identifying the right people to fulfill the necessary initiatives I've put together.

In this example, I would tap some stakeholders in charge of our sales content and marketing collateral to produce newer, more relevant case studies and whitepapers we can pass along to the institutions we're working with.

I would also go to middle management and either offer more direction for coaching on demos or bring in a third-party training service to offer more focused, professional insight on the issue.

Finally, I would connect with marketing leadership to align on the benefits and outcomes we generally stress when pitching the schools we sell to. That way, we can ensure that the institutions we're connecting with have realistic expectations of our product or service that we can speak to more clearly and effectively.

Step 9: Outline action items.

Once you have implemented this strategy to create your sales planning process, the final step is outlining your action items. Using your company's capacity and quota numbers, build a list of steps that take you through the sales process. Examples of action items are writing a sales call script, identifying industry competitors, or strategizing new incentives or perks.

In our edtech example, some key action items might be:

• Revamp our prospecting strategy via more involved coaching and re-tooled sales messaging.
• Revamp administrator and college dean buyer personas.
• Conduct new trainings on demoing our software.
• See our new prospecting strategy from ideation to execution.
• Align with our sales enablement stakeholders for new, more relevant case studies and whitepapers.

Obviously, that list isn‘t exhaustive — but those are still the kinds of steps we would need to clarify and take to structure a more effective high-level strategy to produce different (ideally much better) results than we’ve been seeing.

One thing to keep in mind is that sales planning shouldn't end with creating the document.

You‘ll want to reiterate this process every year to maintain your organization's sales excellence.

Now that you‘re committed to the sales planning process, let's dive into the written execution component of sales planning.

Featured Resource: Sales Plan Template

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3 Popular Sales Forecast Examples For Small Businesses

• October 9, 2022
• Small Businesses

When creating financial forecasts for their business, entrepreneurs often face difficulties. Yet, there are 3 popular sales forecast examples you can use when creating yours. They work for the most popular revenue models , from restaurants, to retail shops, to software companies and other online businesses.

If you aren’t sure what are sales forecasts, read our article and follow these 5 simple steps to create accurate sales forecasts for your business. Looking for examples instead? In this article we explain what are the most popular 3 sales forecast examples for (almost) any type of business. Let’s dive in.

What is a sales forecast?

A sales forecast is the financial projection of a business’ sales (or revenues, turnover) over a given period. Therefore, sales forecasts are a must have of any financial forecast: by projecting sales and expenses we can then prepare the  4 financial statements  which constitute a financial forecast.

Often, sales forecasts are included within a business plan as part of your projected financial statements. Indeed, investors will want to see your business’ financial projections over a given period. Sales forecasts often are  3 or 5-years projections .

For more information on sales forecasts for small businesses and why they are important, read our article here .

Let’s now dive into the 3 most popular sales forecast examples which work for any type of business, from restaurants, to retail shops, to software companies and other online businesses.

Why are sales forecasts important?

Because sales forecasts are part of your financial forecasts, and ultimately your business plan, it is very important to get it right.

Sales forecasts help you set goals for your business

Sales forecasts aren’t simply a requirement for your business plan. Instead, they also help you set goals for your business. The sales you expect to generate as per your sales forecast should be used as a guidance for your budget and your business decisions later on.

You show you understand your business

Showing investors you’re not only a great entrepreneur but also a well-rounded and omniscient founder is very important to get the best deal. A great sales forecast will help understand how your business generates revenues, what are the different drivers affecting revenue and the potential risks involved.

Investors will give more credit to financial plans based on verified assumptions and reasonable targets. Calculate expected revenue using market size , market share and/or user adoption rates for instance. The more you justify your plan with verified assumptions, the more credible it will be.

You know how much you need to raise

Many entrepreneurs and founders do not really know exactly how much they need to raise.

Sales also drive expenses, so forecasting sales plays a pretty important role when assessing things such as your breakeven or the amount of money you need to raise . Miss the mark and you may be in trouble.

How much cash do you need to cover your losses over the next 12-18 months? The amount of money you need to raise is the result of your financial projections. This is very important to accurately estimate your revenues and expenses.

How to do a sales forecast?

Before we dive into the specifics of creating a rock-solid sales forecast for your small business, let’s first explain which approach you should follow.

Many entrepreneurs make the same mistake when forecasting their sales: they use a top-down approach. So what is bottom-up and top-down sales forecasting? Let’s use an example below.

• Top-down sales forecasting : we forecast sales using from the top down. For example, you make $500k in revenue per year and you forecast the next 3 years revenue by assuming you will capture 3% of your market size (assuming it is $100 million). By following this approach, your annual revenue is 3 years time is $3 million, a 6x increase from today.
• Bottom-up sales forecasting : we forecast sales using operational drivers (from the bottom up). For example, if your $500k sales are a function of your website traffic, we will forecast revenues based on this metric instead. Assuming website traffic increase by 50% each year (as you invest in paid and content), your revenue in 3 years time is $1.7 million, a 3x increase from today.

Bottom-up sales forecasting is the best approach for 2 main reasons:

• It allows us to relate revenues to another metric, helping us making sense of the projection. Does $3 million really make sense given this would mean multiplying website traffic by 6x over the next 3 years?
• Top-down approach requires us to make assumptions on the market size, which is often inaccurate for lack of publicly available data. Instead, bottom-up uses your own business’ historical data

Sales forecasts: 3 popular examples

1. location-based businesses.

If you are running a businesses with a physical location, such as a hotel, a restaurant, a repair shop or a retail store for example, forecasting sales boils down to forecasting street traffic.

Indeed, sales (revenues) are a function of the sales volume you generate (the number of “units” or products you sell). The sales volume itself is a function of the number of people who enter your store, and, by extrapolation, the number of people who pass by your store.

When forecasting sales for a new business, you should look at the location where your business will be based first. Assess the approximate number of people who are passing by.

Note: when assessing traffic, be careful to exclude any external factors (e.g. Christmas day), cyclicality and seasonality. Ideally, your assessment should look at a full week and all work hours in the day.

Once we have established the approximate number of people who pass by the street in a day, we will need to apply conversion rates, in order:

• How many people enter the store?
• Out of the people who enter the store, how many make a purchase?

Of course, if you already have some historical data (if you already run a store and are opening a new one), use your existing conversion rates. Else, make assumptions.

When making assumptions, you should use the data you have collected when making your own observations earlier. Use similar stores to yours, in a different street for example.

For example:

• 5% of people passing by your store enter
• 10% of people entering the store make a purchase

We can now create a simple sales forecast over a week, adding up the average traffic over a typical week:

2. Online businesses

Online businesses often acquire their customers via their website, or any type of online presence.

As such, unlike location-based businesses, sales (revenues) are a function of visitors (and not street traffic). The visitors can be visitors on a website, on a Appstore page (mobile apps) or any type of online lead acquisition page.

We often refer this type of acquisition as inbound acquisition . The traffic is two fold: paid and organic:

• Paid traffic : all visitors coming from paid marketing channels (Google Search, Facebook Ads, etc.). You are either paying for clicks, or impressions. 
• Organic traffic : all visitors landing on your landing page(s) organically (either via a referral link, direct search, social media post, blog article, etc.)

Paid marketing is the easiest way to generate traffic. Yet, because you are paying for each paid visitor, you will need to monitor your  Return on Ad Spend (ROAS)  to make sure your paid marketing campaigns are profitable.

In comparison, whilst you do not directly pay for each organic visitor, organic traffic is not free. Organic traffic is earned from investment into  SEO  and content. Whilst investing into your SEO for instance does not pay immediately, the returns can far outweigh those of your paid marketing in the long run.

So, when forecasting sales for online businesses, we should make assumptions on traffic. For example assuming:

• 30,000 visitors last month: 20,000 paid and 10,000 organic
• 3% monthly increase
• 2% conversion rate
• $50 average purchase price

This is how could look like a simplified sales forecast example for an online business:

3. Lead-acquisition businesses

Lead-acquisition businesses are companies that make sales through their sales teams efforts. This is also known as outbound acquisition (vs. inbound discussed above).

With outbound acquisition, a business acquires customers through its sales team. Whether it is via phone, email, Linkedin or even in-person, the number of acquired customers is a function of the number of sales people.

Outbound acquisition is very common for business-to-business (B2B) companies. For example, Enterprise SaaS and B2B marketplaces use outbound acquisition to acquire their customers.

Outbound customer acquisition is therefore easier to forecast vs. inbound. The simple formula to estimate new customers over time is:

The number of closings per sales person is also referred to as the efficiency of your sales team = the number of customer one sales person acquire (or “close”) each month, in average.

For example, lets’ assume you have 20 sales people. Historically, your sales team has closed (“acquired”) in average 2 B2B clients per month per sales person. Assuming you have the same number of sales persons and the same sales efficiency in the future, we can reasonably expect 40 new customers per month.

Now, assuming 1 new hire every 2 months, a sales forecast example for a lead-acquisition business could look like this:

Expert-built financial model templates for tech startups

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Blog Business How to Create a Sales Plan: Strategy, Examples and Templates

How to Create a Sales Plan: Strategy, Examples and Templates

Written by: Aditya Rana Mar 25, 2024

The difference between a company struggling to drive sales and one that’s hitting home runs often boils down to a well-crafted sales plan.

Without knowing how to write a sales plan , your sales reps will lack vision, not understand the market, and be ineffective at engaging potential customers.

Most businesses fail in sales planning because they don’t focus on their unique value. If you’re struggling with sales, here’s what you need to do: define your goal(s), create customer personas, and create an action plan for success.

One of the best ways to organize this information in one place is to use sales planning templates . In this post, I’ll show you how to write a sales plan (…with plenty of template examples included of course!).

Click to jump ahead:

What is a sales plan?

Benefits of a sales plan, how to create a sales plan, sales plan example, sales plan templates.

A sales plan is a strategic document that outlines how a business plans to convert leads into sales. It typically details the target market, customer profile, and actionable steps that must be taken to achieve revenue targets.

Here’s a great example of a sales plan that includes all these elements neatly packed into one document.

Every company needs a sales plan, but have you ever wondered why?

Why should businesses invest time and resources in creating sales plan when they could…well…be focusing on sales?

Sales plans are worth it because they tell sales employees what to do.

Without a sales plan, your sales efforts will end up becoming a disorganized mess. Let’s explore the benefits of sales plans in detail.

Help you identify and target the right market

A sales plan helps you figure out the target market that’s most likely to be responsive to your messaging.

I mean do you really want to waste your time trying to sell to someone who has no need for your product or isn’t interested in your offering?

But if you know who your customer is, you can target their pain points.

Help you set goals

All great sales plans require you to set goals that are actually attainable and budgeted for.

Without goals, your sales team essentially operates in the dark unsure of what success looks like and how to achieve it.

One of the best ways to set goals is by conducting a SWOT analysis (strengths, weaknesses, opportunities, and threats) to understand the market landscape.

Help you forecast sales

Since sales plans require you to study historical sales data , you have the ability to understand trends, seasonality, and customer buying patterns.

This information can be used to accurately forecast future sales performance.

And when you chart it out visually like in this example, you can make data-driven decisions to optimize your sales strategy.

Help you identify risks

Because sales plans require you to study the market, you’ll be able to uncover risks such as market saturation, competitors, and shifting customer needs.

With this knowledge, you have the ability to be flexible in your approach.

Besides market risks, sales plans also help you pinpoint risks within your company such as a lack of qualified leads or unclear communication between departments.

Improve customer service

It may sound counterintuitive but creating a sales plan also actually improves your customer service.

Researching and trying to understand customer needs means new insights that you can share with the customer service team which allows them to tailor their approach.

You’ll also be able to train sales service reps to anticipate questions and concerns so that they can communicate effectively.

Increases sales efficiency

Sales plans help standardize sales tactics and ensure sales reps follow the same best practices to reduce inconsistencies and improve effectiveness.

One of the best ways to standardize practices is to use a flowchart like in this example to make sure everyone knows what to do when facing a decision.

Increases your profits

Sales plans generally guarantee a boost in profits because it allows sales team to laser-focus on high-value opportunities instead of being headless chickens.

Reducing wasted effort and a higher frequency of closed deals is a win in my book any day.

One of the best ways to measure changes in profits is to use a simple template to review performance like in this example.

Help you understand customer needs

Contrary to what you might think, sales plans aren’t just about selling but also about understanding customers at a deeper level.

The process of creating a plan forces you to analyze customer data, buying habits, and pain points, all of which will help you understand what makes your customers tick and build trust and loyalty.

Here’s a great example of a customer persona you can edit to include in your sales plan.

A sales plan is a document that helps you maximize profitability by identifying valuable segments and outlining strategies to influence customer behavior.

Common elements most sales plans include:

• Sales goals : Information on revenue, market share, and more.
• Sales strategy: Information on how to reach potential customers and convert them.
• Target audience: Information on ideal customers and their needs.
• Metrics : Methods to track progress.
• Resources :  Tools, budget, and personnel needed to achieve sales goals.

Let’s take an in-depth look at how to create a sales plan.

( Note : You don’t need to include each of these points in your sales plan but I recommend you cover most of them to build a plan that’s well-rounded).

Define your business mission and positioning

Before you jump into tactics, build a strong foundation by defining your company’s mission and positioning.

Here’s why this step is a must-do:

• Your mission statement defines your company’s purpose and values and gives your sales team and customers something to relate to.
• Your positioning statement defines how your product or service meets a specific need and sets you apart from the competition.

Trying to sell without any alignment to company values will lead to inconsistent messaging and damage your brand reputation.

Here’s a great example of a sales plan template you can customize with your own brand’s mission and positioning statements.

Define your target market

Unless you think you can sell to every person possible, you’ll need to define your ideal target market.

Study your customer base and ask questions like: do most of the customers belong to a specific industry? Or do they all face the same pain point?

Also, keep in mind that target market can change over time due to changes in your product, pricing, or factors out of your control, so it’s important to review and update your target market frequently.

Understand your target customers

This step often gets mixed with the previous one, so pay close attention.

Your target customers are those who your business wants to target because they’re most likely to make a purchase.

You can figure out who your target customers are by creating customer profiles by breaking down your target market into smaller groups based on geography, behavior, demography, and more.

Here’s a great sales plan template where you can edit in your own customer persona.

When making your buyer personas, make sure you answer the following questions.

• Motivations and challenges:  What are customer pain points? What drives purchasing decisions?
• Behaviors and preferences:  How do customers research products? What communication channels do they prefer?
• Goals and aspirations:  What are your prospective customers trying to achieve? How can your product or service help them get there?

Define sales objectives and goals

Setting clear, measurable goals gives you a method to measure performance of your sales strategies.

More importantly though, they give your sales team targets to aim for which then allows them to work in a structured and focused manner.

Your sale goals should be specific, measurable, achievable, relevant, and time-bound (SMART). This is to make sure they’re realistically achievable within a set timeframe.

Here’s a comparison of good sales goal setting vs a bad one.

• ✅Drive $100,000 in sales of product X by Y date using Z tactics
• ❌ Increase overall sales in each product line

You can organize this information using a template like in this example, especially if you have multiple product lines.

Define your value proposition

Your value proposition is a concise statement that explains why a customer should choose your product or service over the competition.

Here’s an example of a value statement:

“For busy small business owners, we provide a user-friendly accounting software that saves you time and money, allowing you to focus on growing your business.”

Here are some tips on defining your value proposition:

• Identify customer needs:  What are the core challenges and pain points your ideal customer faces? Understanding their needs allows you to position your offering as the solution.
• Highlight your unique benefits:  What sets your product or service apart? Focus on benefits you deliver that address the customer’s needs.
• Quantify the value:  When possible, quantify the value you offer. Can you demonstrate a cost savings, increased efficiency, or improved outcomes?

Map out the customer journey

Unless you’re extremely lucky, no one is going to purchase from you during the first interaction.

That’s why it’s crucial for you to know the steps a customer takes from initial awareness to purchase. Mapping out their journey allows you to personalize messaging and influence behavior.

Here are some tips on how to create a customer journey map :

• Identify the stages:  Break down the journey into distinct stages, such as awareness, consideration, decision, and post-purchase.
• Define touchpoints: Pinpoint the different touchpoints where your customer interacts with your brand (example: website, social media, customer reviews).
• Understand customer needs at each stage: What information are they looking for at each stage? What are their concerns and motivations?
• Identify opportunities to engage:  Identify opportunities to engage with your potential customers and move them along the buying journey.

Want some help creating customer journeys?

This customer journey map template is an excellent way to bring customer journeys to life.

Gather existing sales data

This step involves collecting and analyzing all available data on past sales performance.

This data is critical in helping you spot trends, patterns, and areas for improvement in your sales operations.

Perform sales forecasting

Sales forecasting is the practice of estimating future sales which can be presented as a report highlighting expected sales volume weekly, monthly, quarterly, or annually.

Though not always 100% accurate, sales forecasting is key to writing sales plans because it’ll provide you with a clear picture of the ground reality which leads to better decisions on budgeting.

Here’s a template you can use to perform sales forecasting to makes the sales planning process effective.

Define your sales KPIs

KPIs are a fancy way of saying that you need to set metrics to track effectiveness of your sales strategy and team’s performance.

Some example KPIs you can include in sales plans are:

• Number of sales
• Sales revenue
• Average deal size

This sales report template is a great example of how you can include KPIs in your meetings to test performance and adjust strategy.

Identify gaps in the sales process

This step is all about analyzing your current sales process to figure out gaps and/or potential obstacles preventing you from achieving goals.

When you identify a gap, brainstorm potential solutions so that you can create a specific action plan.

Understand the sales stages

When writing a sales plan, make sure you cover each stage of the sales cycle. If you’re unsure of what the sales stages are, here’s a quick recap.

Prospecting

This is the foundation of the sales process where you identify potential customers who might be a good fit for your product or service.

Preparation

Once you have a list of prospects, you need to research their needs, challenges, and buying habits.

This is all about how you contact and communicate with prospects.

Presentation

This section is your opportunity to showcase the value proposition of your product or service. Tailor your presentation to address the prospect’s specific needs and demonstrate how your offering can solve their problems.

Handling objections

Identify common objections your sales team might encounter related to price, features, competition, or need. Develop clear and concise responses to address these concerns proactively.

Equip your sales team with effective closing techniques to secure commitments from prospects who are interested but might hesitate.

Plan your follow-up strategy based on the prospect’s decision timeline and the stage of the sales cycle. For longer timelines, periodic updates and information sharing through digital sales rooms can maintain engagement and provide valuable resources conveniently.

Organize the sales team

Organizing the sales team entails defining roles and responsibilities clearly to cover all aspects of the sales process effectively.

This might involve segmenting the team based on product lines, customer segments, or territories.

Here’s an example of how it might look:

Sarah — Sales Director — will lead the sales team, set overall strategy, goals and direction. Michael and Jessica — Business Development Executives — will focus on prospecting new leads. They will research potential customers, identify those who might be a good fit for the product, and qualify leads by gathering information and assessing their needs. William — Sales Development Manager — will manage the business development executives and ensuring they follow best practices. Chris and Lisa — Account Executives — will handle qualified leads. They build relationships with potential customers, present product demos, address objections, and close deals.

Using an org chart like in this example is a great way to visualize this information.

Outline the use of sales tools

Sales tools play a crucial role in streamlining the sales process and enhancing productivity.

Make sure you outline the tools your team will use, how they fit into different stages of the sales process, and any training required to maximize their utility.

This ensures that your team has the resources needed to engage effectively with prospects and customers.

Set the budget

Setting the budget involves allocating resources efficiently across various sales activities to achieve your objectives without overspending.

This includes expenses related to personnel, sales tools, marketing initiatives, travel, and customer entertainment.

A well-planned budget balances investment in growth opportunities with the overall financial health of the business.

Create a sales strategy and action plan

Now that you’ve laid the groundwork of what you want to achieve and how you plan to achieve it, it’s time to bring it all together into a single view.

Create an action plan which not includes your strategy but also concrete steps.

Your action plan should outlines specific activities for each stage of the sales funnel from prospecting (lead generation channels) to closing (structured process and follow-up strategy with timelines) and everything in between.

Performance and results measurement

Last but not least, your sales plan should present a clear and quantifiable means to track the effectiveness of sales activities.

How are you going to measure outcomes against predefined targets?

Performance measurement is key because it builds accountability and allows you to always have a pulse on customer behavior, preferences, and trends that’ll help you make decisions based on data.

If you’ve made it this far, give yourself a pat! I’ve covered A LOT on elements that you can include in a sales plan.

However, in most cases, you don’t always need to go that in-depth and instead should aim for brevity so that anyone in your team can stay up-to-date without having to worry about the nitty gritty details.

Here’s a sales plan example that’s brief but highly effective. It includes a summary of all you need in one document, a target market analysis, a customer profile, and an action plan.

Want even more sales plan templates for design inspiration or to customize and make your own?

This 30-60-90 day sales plan provides a great way to organize goals, priorities, performance goals, and metrics of success over three three timeframes: first 30 days, first 60 days, and first 90 days.

This sales plan is structured around key components that drive the sales process: objectives, strategies, tactics, and key metrics. It emphasizes a multi-channel approach to sales,, with a strong focus on measuring performance through metrics.

This sales roadmap is a great way to visualize activities such as defining strategy and generating leads to more advanced steps.

Conclusion: Save time on designing and updating sales plans and focus on growing your business with Venngage templates

Though there’s no secret formula for effective sales plan design, it’s good practice to include the basics or information on the target market, a customer persona, and a strategy on how you plan to sell.

What you definitely shouldn’t do is write a sales plan and then never look at it again.

And trust me, I know how time-consuming and frustrating it can be to edit your sales plan especially if you don’t have design skills. One small change might make the icons or numbers go all out of whack.

That’s why I recommend customizing our sales plan templates instead so that you can focus your energy on strategy.

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Run » finance, how to create a financial forecast for a startup business plan.

Financial forecasting allows you to measure the progress of your new business by benchmarking performance against anticipated sales and costs.

When starting a new business, a financial forecast is an important tool for recruiting investors as well as for budgeting for your first months of operating. A financial forecast is used to predict the cash flow necessary to operate the company day-to-day and cover financial liabilities.

Many lenders and investors ask for a financial forecast as part of a business plan; however, with no sales under your belt, it can be tricky to estimate how much money you will need to cover your expenses. Here’s how to begin creating a financial forecast for a new business.

[Read more: Startup 2021: Business Plan Financials ]

Start with a sales forecast

A sales forecast attempts to predict what your monthly sales will be for up to 18 months after launching your business. Creating a sales forecast without any past results is a little difficult. In this case, many entrepreneurs make their predictions using industry trends, market analysis demonstrating the population of potential customers and consumer trends. A sales forecast shows investors and lenders that you have a solid understanding of your target market and a clear vision of who will buy your product or service.

A sales forecast typically breaks down monthly sales by unit and price point. Beyond year two of being in business, the sales forecast can be shown quarterly, instead of monthly. Most financial lenders and investors like to see a three-year sales forecast as part of your startup business plan.

Lower fixed costs mean less risk, which might be theoretical in business schools but are very concrete when you have rent and payroll checks to sign.

Tim Berry, president and founder of Palo Alto Software

Create an expenses budget

An expenses budget forecasts how much you anticipate spending during the first years of operating. This includes both your overhead costs and operating expenses — any financial spending that you anticipate during the course of running your business.

Most experts recommend breaking down your expenses forecast by fixed and variable costs. Fixed costs are things such as rent and payroll, while variable costs change depending on demand and sales — advertising and promotional expenses, for instance. Breaking down costs into these two categories can help you better budget and improve your profitability.

"Lower fixed costs mean less risk, which might be theoretical in business schools but are very concrete when you have rent and payroll checks to sign," Tim Berry, president and founder of Palo Alto Software, told Inc . "Most of your variable costs are in those direct costs that belong in your sales forecast, but there are also some variable expenses, like ads and rebates and such."

Project your break-even point

Together, your expenses budget and sales forecast paints a picture of your profitability. Your break-even projection is the date at which you believe your business will become profitable — when more money is earned than spent. Very few businesses are profitable overnight or even in their first year. Most businesses take two to three years to be profitable, but others take far longer: Tesla , for instance, took 18 years to see its first full-year profit.

Lenders and investors will be interested in your break-even point as a projection of when they can begin to recoup their investment. Likewise, your CFO or operations manager can make better decisions after measuring the company’s results against its forecasts.

[Read more: ​​ Startup 2021: Writing a Business Plan? Here’s How to Do It, Step by Step ]

Develop a cash flow projection

A cash flow statement (or projection, for a new business) shows the flow of dollars moving in and out of the business. This is based on the sales forecast, your balance sheet and other assumptions you’ve used to create your expenses projection.

“If you are starting a new business and do not have these historical financial statements, you start by projecting a cash-flow statement broken down into 12 months,” wrote Inc . The cash flow statement will include projected cash flows from operating, investing and financing your business activities.

Keep in mind that most business plans involve developing specific financial documents: income statements, pro formas and a balance sheet, for instance. These documents may be required by investors or lenders; financial projections can help inform the development of those statements and guide your business as it grows.

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7 Financial Forecasting Methods to Predict Business Performance

• 21 Jun 2022

Much of accounting involves evaluating past performance. Financial results demonstrate business success to both shareholders and the public. Planning and preparing for the future, however, is just as important.

Shareholders must be reassured that a business has been, and will continue to be, successful. This requires financial forecasting.

Here's an overview of how to use pro forma statements to conduct financial forecasting, along with seven methods you can leverage to predict a business's future performance.

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What Is Financial Forecasting?

Financial forecasting is predicting a company’s financial future by examining historical performance data, such as revenue, cash flow, expenses, or sales. This involves guesswork and assumptions, as many unforeseen factors can influence business performance.

Financial forecasting is important because it informs business decision-making regarding hiring, budgeting, predicting revenue, and strategic planning . It also helps you maintain a forward-focused mindset.

Each financial forecast plays a major role in determining how much attention is given to individual expense items. For example, if you forecast high-level trends for general planning purposes, you can rely more on broad assumptions than specific details. However, if your forecast is concerned with a business’s future, such as a pending merger or acquisition, it's important to be thorough and detailed.

Forecasting with Pro Forma Statements

A common type of forecasting in financial accounting involves using pro forma statements . Pro forma statements focus on a business's future reports, which are highly dependent on assumptions made during preparation⁠, such as expected market conditions.

Because the term "pro forma" refers to projections or forecasts, pro forma statements apply to any financial document, including:

• Income statements
• Balance sheets
• Cash flow statements

These statements serve both internal and external purposes. Internally, you can use them for strategic planning. Identifying future revenues and expenses can greatly impact business decisions related to hiring and budgeting. Pro forma statements can also inform endeavors by creating multiple statements and interchanging variables to conduct side-by-side comparisons of potential outcomes.

Externally, pro forma statements can demonstrate the risk of investing in a business. While this is an effective form of forecasting, investors should know that pro forma statements don't typically comply with generally accepted accounting principles (GAAP) . This is because pro forma statements don't include one-time expenses—such as equipment purchases or company relocations—which allows for greater accuracy because those expenses don't reflect a company’s ongoing operations.

7 Financial Forecasting Methods

Pro forma statements are incredibly valuable when forecasting revenue, expenses, and sales. These findings are often further supported by one of seven financial forecasting methods that determine future income and growth rates.

There are two primary categories of forecasting: quantitative and qualitative.

Quantitative Methods

When producing accurate forecasts, business leaders typically turn to quantitative forecasts , or assumptions about the future based on historical data.

1. Percent of Sales

Internal pro forma statements are often created using percent of sales forecasting . This method calculates future metrics of financial line items as a percentage of sales. For example, the cost of goods sold is likely to increase proportionally with sales; therefore, it’s logical to apply the same growth rate estimate to each.

To forecast the percent of sales, examine the percentage of each account’s historical profits related to sales. To calculate this, divide each account by its sales, assuming the numbers will remain steady. For example, if the cost of goods sold has historically been 30 percent of sales, assume that trend will continue.

2. Straight Line

The straight-line method assumes a company's historical growth rate will remain constant. Forecasting future revenue involves multiplying a company’s previous year's revenue by its growth rate. For example, if the previous year's growth rate was 12 percent, straight-line forecasting assumes it'll continue to grow by 12 percent next year.

Although straight-line forecasting is an excellent starting point, it doesn't account for market fluctuations or supply chain issues.

3. Moving Average

Moving average involves taking the average—or weighted average—of previous periods⁠ to forecast the future. This method involves more closely examining a business’s high or low demands, so it’s often beneficial for short-term forecasting. For example, you can use it to forecast next month’s sales by averaging the previous quarter.

Moving average forecasting can help estimate several metrics. While it’s most commonly applied to future stock prices, it’s also used to estimate future revenue.

To calculate a moving average, use the following formula:

A1 + A2 + A3 … / N

Formula breakdown:

A = Average for a period

N = Total number of periods

Using weighted averages to emphasize recent periods can increase the accuracy of moving average forecasts.

4. Simple Linear Regression

Simple linear regression forecasts metrics based on a relationship between two variables⁠: dependent and independent. The dependent variable represents the forecasted amount, while the independent variable is the factor that influences the dependent variable.

The equation for simple linear regression is:

Y ⁠ = Dependent variable⁠ (the forecasted number)

B = Regression line's slope

X = Independent variable

A = Y-intercept

5. Multiple Linear Regression

If two or more variables directly impact a company's performance, business leaders might turn to multiple linear regression . This allows for a more accurate forecast, as it accounts for several variables that ultimately influence performance.

To forecast using multiple linear regression, a linear relationship must exist between the dependent and independent variables. Additionally, the independent variables can’t be so closely correlated that it’s impossible to tell which impacts the dependent variable.

Qualitative Methods

When it comes to forecasting, numbers don't always tell the whole story. There are additional factors that influence performance and can't be quantified. Qualitative forecasting relies on experts’ knowledge and experience to predict performance rather than historical numerical data.

These forecasting methods are often called into question, as they're more subjective than quantitative methods. Yet, they can provide valuable insight into forecasts and account for factors that can’t be predicted using historical data.

6. Delphi Method

The Delphi method of forecasting involves consulting experts who analyze market conditions to predict a company's performance.

A facilitator reaches out to those experts with questionnaires, requesting forecasts of business performance based on their experience and knowledge. The facilitator then compiles their analyses and sends them to other experts for comments. The goal is to continue circulating them until a consensus is reached.

7. Market Research

Market research is essential for organizational planning. It helps business leaders obtain a holistic market view based on competition, fluctuating conditions, and consumer patterns. It’s also critical for startups when historical data isn’t available. New businesses can benefit from financial forecasting because it’s essential for recruiting investors and budgeting during the first few months of operation.

When conducting market research, begin with a hypothesis and determine what methods are needed. Sending out consumer surveys is an excellent way to better understand consumer behavior when you don’t have numerical data to inform decisions.

Improve Your Forecasting Skills

Financial forecasting is never a guarantee, but it’s critical for decision-making. Regardless of your business’s industry or stage, it’s important to maintain a forward-thinking mindset—learning from past patterns is an excellent way to plan for the future.

If you’re interested in further exploring financial forecasting and its role in business, consider taking an online course, such as Financial Accounting , to discover how to use it alongside other financial tools to shape your business.

Do you want to take your financial accounting skills to the next level? Consider enrolling in Financial Accounting —one of three courses comprising our Credential of Readiness (CORe) program —to learn how to use financial principles to inform business decisions. Not sure which course is right for you? Download our free flowchart .

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How to calculate a sales forecast for a new business

Table of Contents

Definition of a sales forecast

The uses of a sales forecast, how to calculate sales forecast for a new business, calculate a sales forecast using the accounts of your competition , calculate a sales forecast using a target market, manage your finances with countingup.

When you’re running a business, you should always keep one eye on the future. If you don’t have a rough idea of what the next week, month, or year might bring, you’ll be at a disadvantage when making business decisions. This means that calculating a sales forecast is essential, especially when you’re just starting a business or beginning to write a business plan . 

Sales forecasting can be tough if you don’t have much business experience, but we’re here to help. This article will cover a range of different topics related to sales forecasting, including:

Creating a sales forecast is the first step in managing your company’s cash flow . Your cash flow is the movement of money in and out of your business. By forecasting your sales, you’ll be able to predict your gro s s profit and net profit , which means you can start anticipating what money you’ll have to spend on running your business for the next month. 

Put simply, a sales forecast is a prediction of how much you’re going to sell in the coming month. This forecast doesn’t need to be a guess — it’s possible to calculate a fairly accurate forecast with some thorough research. The focus of your research will differ depending on which sales forecast method you pick.

Firstly, your sales forecast is important because it helps you set sales goals . Measuring the success of your business is a vital part of deciding its future, and setting sales goals is one of the simplest ways to measure success. 

If you have an accurate sales forecast, you’ll be able to set realistic sales goals. You’ll want your goals to be realistic, as this will give the clearest picture of how well your company is doing and if significant changes are needed.

Similarly, sales forecasts can also help create an accurate budget for your business. As a sales forecast is essential for predicting the money your business will make, it also plays an important part in working out how much money you’ll have to spend. 

Finally, sales forecasts help with finding investors for your business . If you’re looking for financial support to start your business, any investor you approach will likely be interested in the amount of money you expect the business to make. If you’ve created a sales forecast, you’ll be able to provide this information.

Large, well-established businesses rely on the sales figures of previous months to calculate their sales forecasts for the future. While having previous sales figures helps create more accurate forecasts, it’s not essential. There are a couple of methods new businesses can use to calculate their sales forecasts, even if they don’t have a sales history to look back at.

It’s always a good idea to research the competition when you’re setting up a new business. This is also true when calculating a sales forecast, but it depends on the type of businesses that make up your competition.

If any of your competitors are registered with the government as limited companies , they will have to make their accounts publicly available. These accounts will contain things like their monthly expenses, total profits, and (most importantly) the money they’ve made from sales. 

Using this last figure, you can work out how much your competitors are making from sales each month, and get a reasonable estimate of your own sales. You can find these accounts by searching for your competitor’s business on Companies House .

Please note that this method isn’t effective if your competitors are sole traders , as this means they won’t need to publish their accounts publicly. In this instance, you should use the forecasting method below. 

This method is known as ‘bottom-up’ forecasting, as you start at the bottom — your potential market of customers — and then work up to a forecast — the percentage of those customers that make a purchase.

The first step of this method is identifying your target market . This is the section of the population that you think will be interested in your product. With a little market research — things like sending out surveys, or posting polls on social media — you can work out how many people are in your target market. 

Once you have the size of your target market, you need to make realistic estimates of how many people will make a purchase. For example, if 1000 people in the local area are potential customers, you should expect 10% to visit your store or website, and 1% to actually make a purchase.

This method of calculating a sales forecast is good because it’s very adaptable. If you get many more or far fewer sales than you originally calculated, then you can adjust your figures accordingly and record the new forecast. 

It’s also a good idea to categorise this sort of sales forecast. Instead of estimating your overall sales, estimate the sales of each type of product you sell. That way, you can use the forecast to work out how many of each product to make or order each month. 

Creating a sales forecast is a great start, but it’s only the first part of managing your sales revenue. Once you start making sales and money starts coming in, you’ll need to track that cash so you can work out where to spend it. If you think you might have trouble with this, try using a financial software tool like Countingup.

Countingup is the business current account with built-in accounting software that allows you to manage all your financial data in one place. With features like automatic expense categorisation, invoicing on the go, receipt capture tools, tax estimates, and cash flow insights, you can confidently keep on top of your business finances wherever you are. 

You can also share your bookkeeping with your accountant instantly without worrying about duplication errors, data lags or inaccuracies. Seamless, simple, and straightforward!  Find out more here .

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Bringing a real-world edge to forecasting

CFOs know what a “good” forecasting process should look like: it should be accurate and compre­hensive but flexible enough to inform a range of critical business decisions—capital reallocation, hiring, strategy, sales, production, and more.

But CFOs also recognize that there is no “typical” forecasting process: it will look different in different organizations based on sector-specific factors, feedback cycles, and, most critically, how the forecast is being used. A maker of packaged foods that is releasing new products every quarter will rely on the forecast to keep a close watch on inventory, while a mining company that is considering new plant construction over the next three years will use the forecast to predict capacity and pricing.

How do your forecasts roll?

The best predictor of satisfaction among the CFOs we surveyed was whether or not they used a “rolling” forecast—one that provides frequent updates and adjusts inputs in a predictable way as conditions change. These types of forecasts are common in a retail or software setting, where customers provide near-real-time feedback through usage, traffic, and purchasing patterns. Rolling forecasts can be used to great effect in other situations as well. An organization that maintained industrial equipment built a simple model to update its forecasts as equipment came into the shop, rather than waiting until end-of-year estimates to adjust financial figures. This helped the company avoid sudden swings in recognized revenue in a percent-complete contract model. It also put the management team on the offensive as certain contracts over- or underperformed during the year.

Data availability is typically a major inhibitor of rolling forecasts. But it doesn’t have to be. Many companies have reams of data at their fingertips but don’t know where to get started. In our survey, we found that less than half of companies use any given form of nonfinancial internal data in creating their forecasts. Only 35 percent use external market data, and only 18 percent use additional types of data like weather, traffic, and other external factors as leading indicators of the business (exhibit). With such scant inputs, it’s no surprise that forecast outputs are often underwhelming.

Of course, there is still an important place for one-time forecasting to make major decisions. When it comes to drug development, the initiation of capital projects, or the decision to enter new markets, for instance, senior leaders’ over­­optimism about projects, concerns about sunk costs, and other biases can get in the way of their review of the full range of potential outcomes. In these cases, conducting an assessment against a carefully selected reference class of similar business scenarios can produce valuable insights.

What’s more, companies’ access to ever-larger data sets continues to complicate the forecasting process as much as it enlightens it, leading to even more variety in how forecasts are built. Many of the 130 CFOs we surveyed in a recent study 1 We polled 130 CFOs—90 from small and medium-size companies (less than $200 million in revenue) and 40 from large companies (greater than $1 billion in revenue). Half of them were members of the CFO Leadership Council, a North American professional association of finance executives. The research base included companies from a range of sectors, including technology, healthcare, and industrials. say they now run more than one type of forecasting process in their organizations—rolling forecasts to manage the business, and ad hoc processes to make specific decisions (see sidebar, “How do your forecasts roll?”).

But while many of the CFOs we surveyed expressed general satisfaction with the results of their fore­casting efforts (exhibit), some 40 percent also told us that their forecasts are not particularly accurate and that the process takes far too much time.

That’s likely because they use financial measures rather than operational outcomes as indicators of forecasting effectiveness—if they review the success of their forecasting efforts at all. A focus only on financial inputs can mask big issues with companies’ forecasting processes. By contrast, incorporating real-world operations insights into the financial-forecasting process can help CFOs and finance teams predict bottom-line issues early, based on a careful assessment of quality, operations, and customer-retention measurements. Senior leaders can then address performance issues before they become big problems, and the incentives of even the smallest subunit of the business would be targeted toward long-term value creation.

Integrating operations data within forecasts won’t be easy, of course. Finance and business leaders will need to let go of traditional budgeting mindsets and explore new ways of working together. The good news? Automation and other digital technologies now make that easier. And four criteria show promise for injecting more accuracy and reli­ability into forecasting models, regardless of industry: build a momentum case separate from the business plan, use a variety of operational and external inputs, automate the forecast, and measure effectiveness with a fine-grained level of detail.

Building a better forecast

The typical forecasting process follows a pattern that contributes to inaccurate projections and a defeating, self-reinforcing cycle.

At one large indus­trial manufacturing and services company, for instance, managers in the business units and sub­units are held to earnings targets that are rolled up into the overarching forecast. Over the years, these managers have become adept at finding the one or two things that will help them make their number, often at the expense of longer-term investment in quality, customer retention, and oper­a­tional effi­ciency. Under the typical finance-focused forecasting exercise, no one checks operational metrics so long as the bottom line comes in strong, which it had for a while. Now the com­pany’s per­formance is stuck in low gear: the most successful business units keep committing to higher numbers that eventually lead to a deterioration in quality, while the least successful businesses get scruti­nized, adjusted, and fixed. The winners and losers flip, and the cycle repeats itself.

Some companies have worked at breaking this disappointing pattern. They’ve begun rethinking how they measure the success of their forecasting processes—focusing on the following four questions:

Have we built a momentum case? Many financial-planning and analysis (FP&A) teams spend most of their time looking at historical data to explain current outcomes. When they do get to look forward, they are likely focused on the budget, or on rolling up commitments from different business units into the overall business plan. Sometimes the business plan itself passes for the forecast. This, of course, just creates an echo chamber.  No one is explicitly discussing how external factors and impending market shifts could affect forecasts. A better approach is to create a market-momentum case that relies on internal and external data as well as end-market trends to build the forecast. Once this unbiased momentum case is in place, senior managers can layer new and additional market infor­mation on top. Then any initiatives, investments, and strategic moves can be assessed relative to the base case.

In one industrial company that makes construction products, for instance, initiatives proposed across different lines of business were being valued in a vacuum. The teams charged with managing grouts and concrete, for instance, had no line of sight into what was going on with the frame-protection or frame-reinforcement business units. It was hard for senior leaders, then, to understand how to react to market shifts throughout the year and what actions the company should take. The FP&A team built a momentum case that set targets based on market dynamics in individual lines of business rather than allocating a single rate of improvement to all products. These targets much more closely reflected the full potential of the individual business lines, and, when compared with base-case and other scenarios, allowed the company to allocate resources and take on initiatives to address market changes with much more agility than before.

The CFO’s role in this process is to work with business-unit leaders to set realistic but aggressive targets in light of the market environment in which they operate. That means providing clear direction to all the business-unit finance leaders about which basic assumptions to use in the forecasts—for instance, market-growth rates—even if the process of forecasting sales and profit for each business remains distributed.

Are we using a variety of operational indicators and external inputs? Operational inputs are important leading indicators of performance; often, line leaders know how the company is faring months before the financial reports appear. Many times, however, operating data sit in disparate systems that don’t work well with financial enterprise resource planning (ERP) systems. And rather than adhere to a standard set of key performance indicators (KPIs) for use throughout the organization, managers at different levels use different indicators. Some track the business, some manage individual performance, and some review indicators of financial performance.

One aerospace company had collected thousands of data points on every aircraft in its fleet. However, when the time came to create the annual forecast, it used only a small fraction of the data because much of the information was inaccessible. Opera­tional and financial data were siloed, spread across many different IT systems. Recognizing a lost opportunity, the company created a thin analytics layer—a simple rules-based SQL program in a data lake—on top of its existing IT infrastructure. This program automatically gathered data from the multiple systems, allowing business-unit leaders to see infor­mation about the entire fleet on a single screen. They finally had operational KPIs integrated into the financial picture. If one site went overbudget on a repair, that information would get immediately recorded in the master model. Leaders at the company are now more confident about setting targets and stretch goals based on a distinct set of operational issues.

Surprisingly, the technical changes required were not difficult; in most cases, it takes no more than a few weeks or months (depending on product complexity) to rebuild forecasting models and link them to the company’s financial-management systems.

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Have we explored automation? Once business leaders have identified the most critical inputs to include in the forecast model, they should consider ways to automate the process and make it easier for business and operations teams to work together on forecasts.

In some cases, the company will need to explore new technologies and modeling techniques. Leadership at a multinational pharmaceutical company, for instance, used machine learning and advanced analytics to understand the variables affecting the performance of its clinical trials. The operations team worked with the business side to aggregate five years of data from more than 300 separate clinical trials (involving more than 100,000 patients) and to evaluate factors such as the clinical trials’ time and costs across multiple geographies. They saw correlations between the rate of enrollment in certain sites and the success of the trials, and they used the data to introduce improvements.

In other instances, the whole forecasting model may be run automatically using macro commands in an Excel spreadsheet, with only a handful of manual inputs from the operations team, the CFO, and the finance team.

Whichever method is chosen, companies can use data that already exist in the company’s ERP or other functional databases and, with simple transformations, spit out a real-time dashboard.

Once the CFO or another senior finance leader decides that automation is a high priority for FP&A, he or she should convene a small team (no more than three to five people from IT and finance) to “connect the pipes.” The team should tackle this challenge incrementally—automating some elements of the forecasting process initially and adding others once the value of the effort is proved.

Are we measuring effectiveness at a fine-grained level? Once the forecast incorporates a range of internal and external inputs, CFOs can test the accuracy of each input, as well as the accuracy of aggregate estimates. By monitoring detailed measures, such as labor productivity, on-time delivery, and other metrics associated with costs and revenues, business leaders will be able to spot the “softer” KPIs that are being overlooked in light of temporarily strong bottom-line perfor­mance. They can then react accordingly.

When the CFO and operations leader at one consumer-goods company reviewed underlying performance metrics for each of the business lines, they saw that a major business unit was being propped up by one rapidly growing product. Based on this insight, senior leadership decided to sell the underperforming parts of that business and double-down where they saw profitable growth. The team had until that point not looked past the simple financial performance of the business unit to the product-level sales and profitability.

If finance and operations leaders can maintain the forecast as a living model, with a clear feed-back loop, they can ensure that any forecasting failures (and there will be failures) lead to real improvements.

The right role for multiples in valuation

Getting started.

Making these changes to the forecasting processes can seem like a monumental shift—“rebuilding the plane while it is flying” is a common complaint among finance teams. With that in mind, the most effective move is to start small. For instance, the CFO should task the FP&A team in a single business unit or region to come up with a model and pressure test it both in the finance function and with nonfinancial leaders. Once there is agreement that the model is unearthing valuable insights, it can be automated, and a similar process can be scaled to the rest of the business.

It’s important that the forecast be pulled out of the politics of budgeting, and that inputs are streamlined, automated, and pressure tested. Even if the business units each manage their own forecast, there is a role for central FP&A to debias the process. The FP&A team at one fashion company, for instance, built a simple regression analysis to understand which business units were forecasting statistically significant changes in their performance or growth trajectory. The outliers were required to provide a detailed buildup of initiatives to prove the forecast was achievable.

Once the hard work of process reengineering is done, finance teams will see a dramatic change in the value of forecasts to the business. They can use time previously spent justifying assumptions to focus on delivering new ideas for improving the performance of the business—and serving as proactive business partners.

Ankur Agrawal is a partner in McKinsey’s New York office, and Jonathan Slonim is a consultant in the New Jersey office. Mark Khavkin is the chief financial officer of Pantheon Platform in San Francisco.

The authors wish to thank the CFO Leadership Council for its contributions to this article.

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American Airlines CEO admits the airline messed up its plan to disrupt how tickets are sold

• American Airlines  slashed its revenue and margin outlook for the second quarter.
• The airline also announced the departure of Vasu Raja, its chief commercial officer.
• American's CEO said its struggles were partly due to recent changes in ticket-sales strategy.

American Airlines on Tuesday lowered its earnings outlook for the second quarter and announced the departure of its chief commercial officer.

At an event on Wednesday, CEO Robert Isom said the lower earnings guidance could be attributed to a weaker-than-expected marketplace and the airline's weaker-than-expected performance.

A key factor in lower bookings is the airline's recent changes to ticket-sales strategy, Isom said.

That's a not-so-tacit admission that the airline's recent shake-up of its corporate ticket sales and third-party ticket sales strategy quarterbacked by the outgoing CCO, Vasu Raja, hasn't worked.

"We are adapting our distribution strategy," Isom said at the event, which was hosted by Bernstein. "We moved faster than we should have, and we didn't execute well."

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In February, American Airlines announced changes to its ticket-distribution strategy , including new rules limiting the accrual of loyalty points needed to achieve elite status to tickets purchased from the airline and through select travel agencies.

The strategy encouraged customers to buy directly from the carrier instead of from third-party websites and travel agencies.

Last year, American gutted its corporate sales team, responsible for managing business-travel needs for its major corporate clients.

Isom said American was reevaluating its distribution strategy to make it easier for travel agencies, corporate clients, and customers in general to interact with the airline. This includes pausing some of the policy changes announced in February.

"Our approach has driven customers away from American, and we are unequivocally committed to getting those customers back," Isom added.

In a regulatory filing, the airline said it expected profit margins for the current quarter to be 1 percentage point lower than it had predicted in April. In addition, American expects second-quarter revenue to be as much as 6% lower than the same period in 2023.

Raja, who joined the company in 2004 and took over as CCO in 2022, will officially leave the company in June.

Shares of American Airlines fell by more than 13% in trading on Wednesday.

Watch: Thousands of bags pile up at US airports after flight cancellations

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Tim berry on business planning, starting and growing your business, and having a life in the meantime., standard business plan financials: how to forecast sales.

Real Goals of Sales Forecast

Your sales forecast won’t accurately predict the future. We know that from the start. What you want is to understand the sales drivers and interdependencies, to connect the dots, so that as you review plan vs. actual results every month, you can easily make course corrections.

Sure, people shy from doing forecasts, because it can feel like real numbers and you can think only the numbers people can do it. Don’t believe that. You don’t have to have an MBA degree or be a CPA. You don’t need sophisticated financial models or spreadsheets. I was a vice president of a market research firm for several years, doing expensive forecasts, and I saw many times that there’s nothing better than the educated guess of somebody who knows the business well. All those sophisticated techniques depend on data from the past. And the past, by itself, isn’t the best predictor of the future. You are. So let’s look at how to forecast sales, step by step.

If you think sales forecasting is hard, try running a business without a forecast. That’s much harder. Your sales forecast is also the backbone of your business plan. People measure a business and its growth by sales, and your sales forecast sets the standard for expenses, profits and growth. The sales forecast is almost always going to be the first set of numbers you’ll track for plan vs. actual use, even if you do no other numbers.

If nothing else, just forecast your sales, track plan vs. actual results, and make corrections; that’s already business planning.

Match Your Forecast to Your Accounting

It should be obvious: Make sure the way you organize the sales forecast in rows or items or groups matches the way your accounting (or bookkeeping) tracks them.

Match your chart of accounts, which is what accountants call your list of items that show up in your financial statements.

If the accounting divides sales into meals, drinks, and other, then the business plan should divide sales into meals, drinks, and other. So if your chart of accounts divides sales by product or service groups, keep those groups intact in your sales forecast. If bookkeeping tracks sales by product, don’t forecast your sales by channel instead.

If you’re planning for a startup business, coordinate the bookkeeping categories with the forecasting categories.

Get your last Income Statement (also called Profit & Loss) and keep it in view while you develop your future projections.

If you don’t have more than 20 or so each rows of sales, costs, and expenses, then make the rows in the projected statement match the rows in the accounting.

If your accounting summarizes categories for you – most systems do – consider using the summary categories in your business plan. Accounting needs detail, while planning needs a summary.

If your categories in the projections don’t match the accounting output, you’re not going to be able to track plan vs. actual well. It will take retyping and recalculating. And you’ll lose the most valuable business benefit of business planning: management, steering your company.

The math is simple

Normally your sales forecast will group sales into a few manageable rows of sales and show projected units, prices, and sales monthly for the next 12 months and annually for the second and third years in the future. Here’s a quick example from a bicycle retailer named Garrett (with columns for April-November hidden on purpose, to make viewing easier):

If you’re a LivePlan customer, don’t worry about this spreadsheet view, which is generic. LivePlan will guide you through the sales forecast assumptions and do the calculations automatically. For the generic spreadsheet option, shown here, you multiply units times prices to calculate sales. For example, unit sales of 36 new bicycles in March multiplied by $500 average revenue per bicycle means an estimated $18,000 of sales for new bicycles for that month.

Total Unit Sales is the sum of the projected units for each of the five categories of sales.

Total Sales is the sum of the projected sales for each of the five categories of sales.

Calculate Year 1 totals from the 12 month columns. Units and sales are sums of the 12 columns, and price is the average, calculated by dividing sales by units.

The numbers for Year 2 and Year 3 are just single columns; unless you have a special case, projecting monthly results for two and three years hence is overkill. It’s a problem of diminishing returns; you don’t get enough value to justify the time it takes. Other experts will disagree, by the way; and there may be special cases in which extended monthly projections are worth the effort.

Estimate Direct Costs

A normal sales forecast includes units, price per unit, sales, direct cost per unit, and direct costs. Direct costs are also called COGS, cost of goods sold, and unit costs.

COGS stands for Cost of Goods Sold, and applies to businesses that sell goods. COGS for a manufacturer include raw materials and labor costs to manufacture or assemble finished goods. COGS for a bookstore include what the storeowner pays to buy books. COGS for Garrett are what he paid for the bicycles, accessories, and clothing he sold during the month. Direct costs are the same thing for a service business, the direct cost of delivering the service. So, for example, it’s the gasoline and maintenance costs of a taxi ride.

Direct costs are specific to the business. The direct costs of a bookstore are its COGS, what it pays to buy books from a distributor. The distributor’s direct costs are COGS, what it paid to get the books from the publishers. The direct costs of the book publisher include the cost of printing, binding, shipping, and author royalties. The direct costs of the author are very small, probably just printer paper and photocopying; unless the author is paying an editor, in which case what the editor was paid is part of the author’s direct costs.

The costs of manufacturing and assembly labor are always supposed to be included in COGS. And some professional service businesses will include the salaries of their professionals as direct costs. In that case, the accounting firm, law office, or consulting company records the salaries of some of their associates as direct costs.

The illustration below shows how Garrett uses estimated margins to project the direct costs for his bicycle store. For the highlighted estimates, the direct entry for bicycles unit cost is the product of multiplying the price by 68 percent. The total direct costs for bicycles in January are the result of multiplying 30 units by $340 per unit. And here again, LivePlan users don’t need to do these calculations; your software does it automatically.

Some Quick Notes About Standards

Timing matters.

Standard accounting and financial analysis have rules about sales and direct costs and timing. A sale is when the ownership of the goods changes hands, or the service is performed. That seems simple enough but what happens sometimes is people confuse promises with sales. In the bike store example, if a customer tells Garrett in May that he is definitely going to buy 5 bicycles in July, that transaction should not be part of sales for May. Garrett should put those 5 bicycles into his July forecast and then they will actually be recorded as sales in the bookkeeping actual sales in July when the transaction takes place. In a service business, when a client promises in November to start a monthly service in January, that is not a November sale.

Direct costs also happen when the goods change hands. Technically, according to accounting standards (called accrual accounting), when Garrett the bike storeowner buys a bicycle he wants to sell, the money he spent on it remains in inventory until he sells it. It goes from inventory to direct costs for the income statement in the month in which it was sold. If it is never sold, it never affects profit or loss, and remains an asset until some day when the accountants write off old never-sold obsolete inventory, at which time its lowered value becomes an expense. In that case it was never a direct cost.

Most of this has to do with proper accounting. My standard business plan financials series includes What’s Accrual Accounting and Why Do You Care , which is directly related. When in doubt, please read that one.

Gross Margin

The distinction isn’t always obvious. For example, manufacturing and assembly labor are supposed to be included in direct costs, but factory workers are paid sometimes when there is no job to work on. And some professional firms put lawyers’ accountants’ or consultants’ salaries into direct costs. These are judgment calls. When I was a young associate in a brand-name management consulting firm, I had to assign all of my 40 hour work week to specific consulting jobs for cost accounting.

Garrett can easily calculate the gross margin he’s projecting with his sales forecast. The illustration below shows his simple calculation of gross margin using his sales and direct costs.

How do I know what numbers to use?

But how do you know what numbers to put into your sales forecast? The math may be simple, yes, but this is predicting the future; and humans don’t do that well. Don’t try to guess the future accurately for months in advance. Instead, aim for making clear assumptions and understanding what drives sales, such as web traffic and conversions, in one example, or the direct sales pipeline and leads, in another. And you review results every month, and revise your forecast. Your educated guesses become more accurate over time.

Use experience and past results

• Experience in the field is a huge advantage . In the example above, Garrett the bike storeowner has ample experience with past sales. He doesn’t know accounting or technical forecasting, but he knows his bicycle store and the bicycle business. He’s aware of changes in the market, and his own store’s promotions, and other factors that business owners know. He’s comfortable making educated guesses. In another example that follows, the café startup entrepreneur makes guesses based on her experience as an employee.
• Use past results as a guide . Use results from the recent past if your business has them. Start a forecast by putting last year’s numbers into next year’s forecast, and then focus on what might be different this year from next. Do you have new opportunities that will make sales grow? New marketing activities, promotions? Then increase the forecast. New competition, and new problems? Nobody wants to forecast decreasing sales, but if that’s likely, you need to deal with it by cutting costs or changing your focus.
• Start with your best guess , and follow up. Update your forecast each month. Compare the actual results to the forecast. You will get better at forecasting. Your business will teach you.

How to Forecast a New Business or New Product

What? You say you can’t forecast because your business or product is new? Join the club. Lots of people start new businesses, or new groups or divisions or products or territories within existing businesses, and can’t turn to existing data to forecast the future.

Think of the weather experts doing a 10-day forecast. Of course they don’t know the future, but they have some relevant information and they have some experience in the field. They look at weather drivers such as high and low pressure areas, wind directions, cloud formations, storms gathering elsewhere. They consider past experience, so they know how these same factors have generally behaved in the past. And they make educated guesses. When they project a high of 85 and low of 55 tomorrow, those are educated guesses.

You do the same thing with your new business or new product forecast that the experts do with the weather. You can get what data is available on factors that drive your sales, equivalent to air pressure and wind speeds and cloud formations. For example:

• To forecast sales for a new restaurant first draw a map of tables and chairs and then estimate how many meals per mealtime at capacity, and in the beginning. It’s not a random number; it’s a matter of how many people come in. So a restaurant that seats 36 people at a time might assume it can sell a maximum of 50 lunches when it is absolutely jammed, with some people eating early and some late for their lunch hours. And maybe that’s just 20 lunches per day the first month, then 25 the second month, and so on. Apply some reasonable assumption to a month, and you have some idea.
• To forecast sales for a new mobile app, you might get data from the Apple and Android mobile app stores about average downloads for different apps. And a good web search might reveal some anecdotal evidence, blog posts and news stories perhaps, about the ramp-up of existing apps that were successful. Get those numbers and think about how your case might be different. And maybe you drive downloads with a website, so you can predict traffic on your website from past experience and then assume a percentage of web visitors who will download the app.
• So you take the information related to what I’m calling sales drivers, and apply common sense to it, human judgment, and then make your educated guesses. As more information becomes available — like the first month’s sales, for example – you add that into the mix, and revise or not, depending on how well it matches your expectations. It’s not a one-time forecast that you have to live with as the months go by. It’s all part of the lean planning process.

Sales forecast depends on product/service and marketing

Never think of your sales forecast in a vacuum. It flows from the strategic action plans with their assumptions, milestones and metrics. Your marketing milestones affect your sales. Your business offering milestones affect your sales. When you change milestones — and you will, because all business plans change — you should change your sales forecast to match.

Thank you for this great informations I really learn a lot. Thanks

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German industrial orders unexpectedly fall in April

German industrial orders unexpectedly fell in April, marking the fourth month in a row of decreases, due to a significantly smaller number of large-scale orders compared with the previous month, according to federal statistics office data on Thursday.

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