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Last updated on Friday, October 18, 2024
Accurate sales forecasting can lead to improved supply chain management, steady cash flow, and faster sales growth. But what is sales forecasting really?
Accountants, CFOs, and sales managers define sales forecasting as the process of predicting future sales for a given time period. There are various sales forecasting methods that can be used to create these predictions.
The accuracy of your forecast will depend on the accuracy of your data. Solid, real-time sales data aggregated from a variety of up-to-date sources leads to more reliable forecasting and better business insights.
Sales forecast accuracy requires accurate data and a reliable sales forecasting method. Here are seven tips to help you maximize the value of your sales data.
Explore the different types of sales forecasting methods to see which method may be best for your business.
The most basic of sales forecasting methods, intuitive forecasting relies on educated guesses from salespeople to predict future sales for a given time period. A startup without historical sales data can create an intuitive forecast using factors such as seasonality, market research, current market share, and planned strategic marketing efforts.
Companies with access to historical data may leverage past forecasts and performance to create realistic sales plans for the future.
Companies with accurate data about their sales pipeline (typically tracked through a CRM like Salesforce) can create accurate sales forecasting by analyzing the stage of each lead and the probability of closing.
Similar to opportunity stage forecasting, length of sales cycle forecasting relies on accurate data from the sales pipeline. But rather than looking at the probability of closing, it evaluates the time a lead should take to close.
Multivariable forecasting combines multiple techniques to create a sales forecast that explores the business from all angles. Multivariable forecasting analysis may yield more accurate results than any of the above methods because it accounts for various factors that affect a company’s sales growth.
If you’ve tried multiple methods of sales forecasting, but are still struggling with accuracy, consider implementing a sales and revenue forecasting software like revVana. revVana is built natively in Salesforce; this integration with your CRM allows you to easily generate automated forecasts and eliminate manual errors and inaccuracies.
Request a live demo to see how revVana can help you boost your sales forecasting accuracy