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3 Essential Sales Forecasting Methods That Can Accelerate Your Sales Process

May 6, 2019

Sales forecasting is one of the important processes that help businesses in better decision making and in predicting long term and short-term business performances. Sales forecasting affects several business areas such as sales operations, marketing strategies and budget allocations. But many sales leaders struggle when it comes to the implementation of effective sales techniques. Inaccurate sales forecasting fails to guide business pipeline management and has dire consequences on different levels of business operations. Overestimating sales may lead to overspend and underestimating sales might result in inefficient order management. Therefore, it is crucial for businesses to get their sales forecasting techniques correct. Here we have discussed in detail some of the essential sales forecasting methods that can help companies accelerate their sales processes.

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Sales Forecasting Methods

Sales Forecasting

Technique #1: Opportunity Forecasting

This sales forecasting method helps companies to estimate the probabilities of a deal getting close to conversion. Opportunity forecasting can help best when a company is trying to gain an objective understanding of its pipeline stages. Also, this sales forecasting method is helpful when you want to gauge your sales team performance and analyze areas where improvement is needed to move a prospect down the pipeline. To adopt this sales forecasting technique, it is important for companies to understand and analyze their sales history. Understanding the rates of success at every stage of the sales cycle is required to derive an accurate estimate of future results.

Technique #2: Length of the Sales Cycle

This approach of sales forecasting helps to make assessments based on the age of the deal rather than analyzing success rates at every stage It is very helpful in predicting when a deal is likely to close. Companies can use this technique to learn in detail about different types of deals in their sales pipeline. The length of the sales cycle is not strictly tied to defined categories. So, it can help in creating algorithms based on different types of deals efficiently. Additionally, it can help to estimate numbers for the average repeat customers or leads.


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Technique #3: Regression Analysis

Regression analysis is one of the most preferred and smart choices for sales forecasting. This technique can help companies to perform in-depth quantitative analysis of factors that might be affecting their sales processes. This method can lead to success only if you have the necessary capabilities and domain knowledge to understand the factors that impact the sales performance of your company.

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