Overview
Most sales forecasts miss by 20–40% because they are bottom-up rollups of rep-submitted commit numbers — which are anchored in optimism and political pressure, not data. CFOs then layer a "haircut" on top, which destroys rep accountability and still misses.
The Sales Forecasting Model combines historical conversion rates, pipeline velocity, deal-level scoring, and seasonality to produce a data-driven forecast with calibrated confidence bands — then reconciles against rep-submitted commits to surface where optimism or sandbagging is distorting the number.
What you get: - Pipeline stage conversion rate analysis (historical win rates per stage) - Deal scoring model with probability weighting - Velocity-based forecast (deals in stage × conversion × avg deal size × time-to-close) - Seasonality and cohort adjustments - Rep-level calibration (optimism/sandbagging coefficients) - Commit / Best-Case / Worst-Case tiers with confidence intervals - Forecast accuracy tracking and model retraining triggers
Built for: RevOps, sales leaders, and CFOs who need a forecast that is trustworthy enough to commit to the board — not a weighted pipeline rollup that misses by a quarter's bonus.