Forecast Accuracy
Also known as: Sales Forecast Accuracy, Revenue Forecast Accuracy
Definition
Forecast accuracy measures forecasted outcomes against actual outcomes over a defined period. In commercial operations, it usually applies to pipeline, bookings, revenue, and cash. In operations, it can apply to delivery milestones, hiring, utilization, and project completion.
Forecast accuracy is not a reporting metric. It is a management-system metric. If the forecast misses every quarter, the company does not have a forecasting problem; it has a qualification, staging, ownership, or inspection problem.
For a board, the question is whether management can explain variance before the quarter ends. If not, the operating cadence is too slow.
Related terms
- Bookings vs. Revenue — Bookings measure contracted sales commitments; revenue measures what can be recognized under accounting rules. Confusing them inflates forecasts and board confidence.
- MEDDPICC — An enterprise B2B sales qualification framework: Metrics, Economic buyer, Decision criteria, Decision process, Paper process, Identify pain, Champion, Competition. The discipline that moves win rates from 29% to 68%.
- Pipeline Coverage — The ratio of qualified pipeline to sales target. Coverage indicates whether the team has enough real opportunities to hit the number.
Where this gets applied
- Revenue Architecture — ICP, deal-desk, sales-engineering ratios, MEDDPICC, deal-stage definitions. Move win rates from 29% to 68%.
- GTM Execution — Pipeline coverage, top-down/bottom-up motion, AE/SE ratios, comp realignment, partner-channel structure.
- Financial Infrastructure — ARR waterfalls, deferred-revenue rules, board-pack standardization, FP&A architecture.