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Sales Forecasting Methods for Better Revenue Planning

Revenue planning is a key process for every business. Accurately forecasting enables companies to better manage their finances, reduce financial risks and develop efficient revenue planning. To improve sales and keep up with market demands, the best practice is to use past data, real-time insights and ongoing monitoring. This can help to predict the budget for marketing, staffing and other resources.

Below, we will explain how to plan your revenue better, which strategies to use, challenges you may face and how to overcome them for more accurate forecasting and smarter business decisions. 

Why Is Sales Forecasting Important?

The forecasting process across organisations is all about managing the resources accurately. It is vital because it provides businesses with predictable financial and operational roadmaps, enabling production, strategic decisions and investment. These benefits collectively help in managing risks and identifying growth opportunities. 

Here are five reasons why forecasting sales is important for revolutionising your business:

  • It helps you allocate resources effectively

  • It helps you reach your financial goals

  • It aids in decision-making

  • It provides growth opportunities

By accurately forecasting sales processes, you will set more realistic goals that help in your performance and achieve your budget planning. 

What Are the Objectives of Sales Forecasting?

Predicting future sales of a service or product helps with better financial planning and budget allocation. Sales forecasting focuses on:

Supporting Revenue Planning and Budgeting

The most important goal of forecasting sales is to create a successful budgeting process for your next season. As a company, expected revenue helps you decide how much you can spend on costs, staffing, resources and more. You should create a realistic budget and make financial plans that will align with your investments and operational expenses.  

Optimising Resource Allocation

By efficiently managing future demands, companies can easily reallocate and optimise resources to ensure proper working and avoid spending the budget on non-essentials. This includes better planning in inventory, hirings, marketing and so on.  

Improving Decision-Making Across Teams

Making a proper sales forecast improves decision-making for your business. Whether it is launching a new product, hiring staff or allocating resources for marketing, you can have a clear picture of your revenue to make strategic planning. This also enhances relationships across departments and ensures each team aligns with its actions. 

Common Sales Forecasting Methods

These sales forecasting methods help you predict sales and organise your planning:

Historical Sales Forecasting

Using past data of your work helps analyse your previous revenue and identify patterns for future predictions. Any kind of variable, such as pricing strategies or customer behaviour, can reveal valuable insights for your sales planning.

Opportunity Stage Forecasting (Pipeline Forecasting)

Use your sales pipeline to predict future revenue by analysing deals at different stages of the sales process. It helps estimate the changes of closing opportunities, allowing prioritising efforts and allocating resources more effectively. 

Length-of-Sales-Cycle Forecasting

The LOSC method predicts future sales by looking at how long it usually takes a lead to become a customer. You find the average sales cycle by dividing the total days of all closed deals by the number of deals. Then, you apply this average to the deals in your pipeline to estimate when they will close and how much revenue they may bring.

Predictive Forecasting (Regression Analysis)

Regression techniques allow you to find the relationship between the sales and other factors that impact them, like marketing spend. This regression equation helps companies to predict future sales with greater accuracy and better allocate their resources by using historical data. 

Multivariable (Hybrid) Forecasting

This method predicts sales by looking at several factors together instead of just one. It considers things like how long your sales cycle usually takes, the chances of winning different types of deals and how successful each sales rep is. Combining these data points creates a more accurate sales forecast.

Common Sales Forecasting Challenges

When creating sales forecasts, you may face certain challenges, such as:

Incomplete or Inaccurate Data

Spreadsheets expose you to risks like incomplete data that leads to errors in forecasting and missed revenue targets. This results in inaccurate and untrustworthy sales forecasts.

Overreliance on Gut Feelings

Basing your predictions on gut feelings may create inaccurate predictions. This often causes poor planning and unexpected risks for your business.

Rapidly Changing Market Conditions

As the market is evolving fast, it is common to face unexpected changes that may impact your forecasting, such as new technologies, customer preferences, competitor price changes and so on. 

How to Overcome Challenges in Sales Forecasting

A good sales forecast depends on several factors:

Leveraging Data and Analytics

Collecting, analysing and interpreting data to uncover forecasting insights is essential for making infomed business decisions. These analytics make it easier to create accurate forecasts and understand certain patterns.

Aligning Sales and Marketing Teams

Strong collaboration between teams is an important factor that can help improve the accuracy of sales forecasts. Sales and marketing teams should collaborate by sharing data, goals and identifying quality leads, understanding customer needs and creating reliable forecasts. 

Continuous Monitoring and Adjustments

To ensure your forecast is accurate and reliable, you should continuously monitor all processes involved, including data collection, segmentation, analysis and testing. Therefore, you should update your forecasts to stay accurate and relevant. This can be done monthly, quarterly, weekly or bi-weekly, depending on your industry. 

Features to Look for in Sales Forecasting Software

Finding the right financial forecasting software for sales is essential for making accurate forecasts. The best tools provide data in real time, flexible reporting and advanced analytics that can help your teams plan and work effectively. The best software offers:

Real-Time Data Integration

Real-time data ensures that the forecasts are always based on the latest information. It adds more value , teams can react quickly to changes and be ahead.

Customisable Reporting and Dashboards

Customisable dashboards let you see sales data in the format that works best for your business. Specialised reports highlight key metrics like total sales, revenue and retention rates, making it easier for the company to manage performance and resources. 

AI and Predictive Analytics

AI in finance helps analyse and provide more accurate data compared to traditional methods. Predictive analytics helps your team take advantage of new opportunities and avoid risks before they happen. 

Final Words

Sales forecasting requires advanced practices and tools that integrate data, automation and support teamwork. Based on the facts we’ve explained above, Mercur offers a comprehensive solution that streamlines the forecasting process, enabling businesses to forecast with greater precision. With its AI and predictive analytics capabilities, it helps teams identify trends and changes to achieve better planning, resource allocation and improve overall performance.

Schedule a demo with Mercur today to learn more about our forecasting capabilities.

Mercur Solutions (UK) Limited - UK office

Mercur Solutions Limited
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Mercur Solutions

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