Nishant AhlawatGuide to Objective and Key Results – OKR Meaning and Examples
It starts young when people around you ask, “When you grow up, what do […]
This situation is all too familiar to every head of sales: things look good until the final week, and then the figures begin to deteriorate.
Sales forecasting comes into play precisely at this point. This practice can help organizations see how much potential revenue they are likely to generate before the end of the period. In my experience, sales forecasting has often been viewed simply as a reporting process, while it is actually one of the most efficient planning methods.
It doesn’t mean that we can predict the future. Rather, using the appropriate information, we aim to get an insight into the sales process and make the right decisions.
In this post, I will discuss in detail what sales forecasting is and how to approach the development of your sales performance system.
What is Sales Forecasting?
The technique of sales prediction consists of the estimation of revenue generation by your team within a particular timeframe, whether a week, a month, a quarter, or a year.
Put simply, it allows you to find an answer to one main question: how much are we going to sell?
The proper sales forecast includes analysis of previous sales performance, present pipeline of business opportunities, stage of each deal in the pipeline, overall market conditions, capacity of your team, seasonality, as well as customers’ behavior. It goes far beyond numbers on your computer.
For instance, if your pipeline holds deals valued at ₹50 lakh, not everything there will be sold eventually. Deals may advance, be delayed, or even fall through. The sales forecast will give you an idea of which part of the pipeline can be expected.
That’s why I believe future sales planning should be used as a decision-making tool rather than a mere forecast.
Why is it important to forecast sales?
With accurate forecasts, teams not only receive figures but also clarity.
This is critical in helping the management prepare adequately in terms of hiring, inventory, marketing expenditures, goals, and expansion. It further helps the sales managers to know where things stand, which stage of negotiations the deals are at, and how much assistance they require.
Good forecasts will reveal where the demands come from, be it by geographic location, product, or target group. This helps to zero in on where you ought to focus your attention before there is any significant disparity.
Most significantly, sales prediction ensures that nothing comes as a surprise at the last minute. Rather, this allows for preemptive actions to be taken.
All in all, whenever you are doing accurate forecasting, you are not only making predictions but also increasing control.
Industry-Specific Sales Forecasting Use Cases
Sales forecasts differ from industry to industry due to unique differences within businesses, which include sales cycle, consumer behavior, and operational requirements. Forecasting specific to an industry enables firms to forecast and make better business judgments. Through the use of appropriate data and market trends, they can plan and allocate their resources better, hence growing revenues.
1. FMCG sales forecasting
FMCG sales forecasting revolves around consumer behavior, distributors, orders, stock levels, and other seasonal aspects. Firms conduct sales forecasts to avoid being in a position where there is no supply of products at all in terms of number and location.
2. Retail sales forecasting
Retail sales forecasting allows retailers to estimate the demand of products within the retail setting. Sales forecasting involves considering consumer traffic in stores, demand in the season, marketing strategies adopted by firms, and past sales records.
3. SaaS Sales Forecasting
The sales forecasting process for SaaS products involves the analysis of the pipeline metrics, such as conversions, deal stages, subscriptions, revenue, and renewals to estimate the future revenue. The approach allows managers to create plans that will support growth and efficient management of recurring revenues.
4. Manufacturing Sales Forecasting
The manufacturing sales forecasting helps to create the production plans for each business and manages inventory by analyzing the data related to customers’ orders, market demand, and production capacities. The forecasting approach helps to minimize losses due to delays or overproduction.
5. Pharmaceutical Sales Forecasting
The pharmaceutical sales forecasting depends on prescription trends, territory performance, product demand, and distributor orders. The forecasting allows organizations to improve the management of resources and increase the availability of the product.
6. Real estate sales forecasting
In real estate sales forecasting, various information, including inquiries, visits, bookings, and market trends, is used to project future sales. This type of forecasting can be useful because sales in real estate usually have a relatively long sales cycle. Sales forecasting in this particular field allows businesses to know about potential closure and income.
7. Service-based business forecasting
The sales of a service-based company are forecasted using information regarding leads, proposals, client contracts, and renewals. This is done to ensure that the sales for the coming period are known in advance, and proper planning and staff allocation can be done.
8. Distribution-led business forecasting
A distribution-led business uses forecasting to determine the level of demand in the various territories where the dealers are located. This makes it possible for a company to know which area is generating maximum demand and how much stock to keep.
Industry-specific sales forecasting assists a business in making sound decisions.
Sales forecasting methods
There is no universal and flawless way of conducting revenue forecasting. What works well depends on the specifics of your business, the duration of sales cycles, the accuracy of the data you have, and the level of maturity of the sales process in general. Let us consider the most popular ways of forecasting.
Historical forecasting
This approach relies on historical data and sales metrics to forecast future sales volumes. Historical forecasting works perfectly for businesses with stable demand patterns, recurrent customers, or certain seasonal characteristics. At the same time, one should never rely solely on historical forecasting, as market conditions and the performance of your team may have changed since then.
Pipeline forecasting
The idea behind pipeline forecasting is to analyze all deals in the pipeline, taking into account their status, likelihood of closing, the volume of deals, and the expected closing date. Pipeline forecasting is especially useful for business-to-business companies with long sales cycles. At the same time, one should ensure that CRM data is up to date.
Intuitive forecasting
Intuitive forecasting relies on the judgment and expertise of salespeople or managers. Intuitive forecasting can be valuable when historical data is lacking or when relationships have a significant influence on making sales. But intuition should complement data rather than replace it.
AI-powered forecasting
AI forecasting analyzes data about your sales, pipelines, past successes, and buyer behaviors to make intelligent forecasts about upcoming sales. It may assist you in recognizing problems that can’t be detected through manual forecasting. Nevertheless, it still requires good-quality data to operate.
How to Accurately Forecast Sales
Forecasting sales is not left to mere luck; it requires appropriate data, process, and monitoring. Below are some basic tips that might be useful for making accurate forecasts:
Apply market analysis tools
While your sales data is internal information that helps you evaluate what is going on within your company, market analysis reflects external changes. By analyzing demand trends, competitive activity, customer behavior, and category changes, you will get an understanding of market realities and build more relevant forecasts.
Apply historical data
Analyzing past performance is the first step towards building a more accurate forecast. With the help of historic sales data, you will be able to analyze your sales trends, seasonality, deals’ sizes and cycles, etc. However, remember that the aim is not to repeat history, but to predict future performance.
Utilize sales forecasting tools
As the sales team grows, it may become increasingly difficult to control everything in a spreadsheet. These tools help integrate various aspects of the process, such as pipeline information, target achievement, deal progress, and the efficiency of the sales team.
Make assumptions and revise accordingly
Any sales forecast involves certain assumptions, such as conversion rates, deal amounts, and closing period. What matters most here is making sure that you have clear assumptions and constantly reviewing them to adjust them accordingly.
Keep it flexible
It would be wrong to regard the sales forecast as something static. Deals may get delayed, priorities may shift, and so may the level of demand for your products or services. That is why the forecast should be revised regularly.
How Sales Forecasting Software Improves Accuracy
The use of forecasting software improves the forecast accuracy by creating visibility for real-time sales information. Rather than relying on spreadsheets, the deal pipeline, sales team, and revenue figures are all in one place.
Firstly, the forecast accuracy is improved since the system analyzes deal stages, predicted close dates, deal values, sales activities, and conversion rates. In doing so, the software helps managers understand which deals are likely to be closed successfully.
Secondly, it updates the forecast automatically during the progress of each deal. Additionally, it notifies sales managers of any red flags, including stalled deals and low follow-up efforts. With enough lead time, they can make the necessary adjustments to prevent negative consequences to their forecast.
Thirdly, the software makes use of both historical and existing deals to provide realistic forecasts according to the latest trends in the business. This way, it guarantees that salespeople generate accurate forecasts regarding future revenue.
Fourthly, for growing businesses, the software brings consistency throughout the entire sales process. Through integrating all deals in one place, managers get an idea of future hiring, targets, inventories, and revenue.
In conclusion, there are various ways in which sales forecasting software improves forecast accuracy.
Common Sales Forecasting Mistakes
No team has the capacity to avoid all forecasting errors. More often than not, it is not due to a lack of understanding of revenue forecasting, but because of the lack of review, updating, and proper data for the forecasts.
Not looking at the historical sales data
Another mistake that could be made is the neglect of the previous performance of the company. The historical sales data can give a team an idea about its seasonality, demands, and conversion rates, among others.
Not taking into consideration the seasonality of your product or service
Many businesses’ products or services go through seasonal cycles. These may be holidays, year-end planning, among others. If the team does not consider such seasonality, then their forecasts will be inaccurate.
Failure to use market analysis
The sales process is not isolated from other factors such as market trends, customer demand, competitors, and changes in pricing strategies. By failing to incorporate market analysis, one may miss vital information that will make forecasting more accurate.
Using gut feeling instead of data
Gut feeling is very important when dealing with sales. However, sometimes the gut feeling might mislead an individual because although the deal looks good, it might not be based on enough data. Forecasting requires both experience and reliable sales data.
Failure to use forecasting tools
A spreadsheet might be a good forecasting tool initially, but eventually, as the team expands, the process becomes complicated. A forecasting tool helps organize the data and monitor its change for effective sales projection.
Conclusion
Perfect foresight is not what sales projection is all about. Rather, it is about gaining sufficient visibility into your current performance to make better decisions.
With regular forecasting, you start spotting the patterns and recognizing areas where revenue might be generated, where risks are growing, deals that require closer attention, and overall progress towards company goals and KPIs.
To me, what matters most in sales estimation is not necessarily its accuracy but rather action. The process is meant to allow leaders to intervene and help their managers manage and align sales activities with overall organizational goals.
In such cases, forecasting tools such as JOP Edge are able to prove their worth to large and distributed sales organizations as they help leaders gain sufficient visibility when dealing with scattered sales performance metrics.
Thus, when it comes to sales estimation in a company without dedicated technology, managers might find themselves lacking clarity into performance.
Frequently Asked Questions
1. What is sales forecasting in simple words?
Sales forecasting is the process of estimating how much revenue a sales team is likely to generate in a specific period. It helps businesses plan better and understand what sales may look like in the coming weeks, months, or quarters.
