What Is Forecast Accuracy?

Definition. Forecast accuracy is the gap between predicted revenue and actual results, typically measured by quarter or segment. It depends on signal quality and execution, not just stage updates.

In summary. Forecast accuracy improves when teams link activity to risk and next actions. Late updates and missing signals create drift. A signal‑first execution layer stabilizes the forecast and improves confidence.

How to measure forecast accuracy

• Variance between forecast and actual revenue
• Accuracy by segment, region, or team
• Slippage rate for late‑stage deals

Common mistakes

• Waiting for quarter‑end updates
• Relying on opinion instead of signals
• Ignoring stalled deals in the commit

Where to go next

See the pillar on forecast accuracy in B2B and the satellites on why forecasts fail and reactivating lost leads.