KamoCRM

Sales Forecasting

The prediction of future sales revenue for a given period.

Sales

Definition

Sales forecasting is the process of predicting how much revenue will close in a future period (next quarter, year). Methods include: weighted pipeline forecasting (opp value × probability), commit/best-case/worst-case categories, rep-submitted forecasts with commit/upside breakdown, and regression models on historical pipeline data.

Key points

  • Weighted pipeline: simple but relies on accurate probabilities
  • Commit forecasts: rep's high-confidence subset of pipeline
  • Forecast accuracy is itself a metric — teams track actuals vs forecast over time
  • Roll-up forecasts aggregate per-rep submissions up to the VP
Example

Team submits: commit $800k, best case $1.2M, worst case $600k. Historical accuracy runs 5-10% above commit typically.

Related terms

Pipeline VelocityDeal ProbabilityWin RateARR (Annual Recurring Revenue)

Stop stitching tools to track this

KamoCRM unifies CRM, communications, and operations — the metrics this term describes become live dashboards in your workspace.

Start freeBrowse glossary
Sales Forecasting: Methods & Accuracy | KamoCRM Glossary | KamoCRM