What is Forecast Accuracy?

Forecast accuracy measures how close forecasts are to actual results and underpins the credibility of planning and the quality of decisions built on it. Accurate forecasts let the business commit resources confidently, while poor ones erode trust in the planning process. Cherry-picking favorable periods gives a misleadingly rosy view. For context, 90%+ is strong for stable demand; volatile or early-stage businesses naturally forecast less accurately, so benchmark against your own variability. Treat an external benchmark as a reference point rather than a universal target: company stage, sector, customer mix, pricing model and measurement definitions can materially change what “good” looks like. Read Forecast Accuracy alongside Budget Variance and Pipeline Coverage; together these measures provide a more balanced view and reduce the risk of optimizing one number at the expense of the wider outcome.

Make sure the numerator and denominator cover compatible populations and periods, and avoid dividing by a partial or unusually small base. Reconcile the inputs to the relevant ledger or approved reporting schedule and apply the same accounting policy and period cut-off. Keep the accounting policy, reporting period and treatment of exceptional items consistent, then compare the result with prior periods, the operating plan and genuinely comparable peers. A dashboard should show the current value, prior-period comparison and a trend rather than presenting one isolated reading.

Management can improve the result by tracing it to operational drivers—price, volume, mix, direct cost, overhead, working capital or capital structure—and assigning actions to the driver rather than the headline ratio. Common pitfalls: cherry-picking favorable periods. Record the definition beside the dashboard, review it when systems or processes change, and annotate unusual events so future readers can distinguish a genuine performance shift from a data or timing effect.