Sales Forecasting Model(Free Download)

A multi-method sales forecasting model that combines three approaches: weighted pipeline (probability-based), historical trend analysis (seasonality-adjusted), and rep-level commitment forecasting. Includes a forecast accuracy tracker and confidence interval calculations. The Excel model runs all three methods on the same input data and shows them side by side with a blended average, so instead of arguing about whose number is right, your forecast call becomes a discussion of why the methods diverge — a weighted pipeline that runs far above the historical trend usually means stage probabilities are inflated, while a rep commit far below both signals sandbagging. A snapshot tab stores each week's prediction against the eventual actual, building the accuracy history that tells you which method to trust for your specific business. Finance teams use the confidence-interval output to set conservative, base, and stretch cases for hiring and spend planning.