Which KPI best measures sales forecasting accuracy?

Which KPI best measures sales forecasting accuracy?

• A. Sales cycle length in days.
• B. Forecast accuracy, defined as the percentage difference between forecasted and actual revenue.
• C. Average deal size.
• D. Customer satisfaction score.

Answer: (B)

Measuring how close your forecast is to what actually happened is the key idea. The best KPI for this is the metric that expresses the gap between forecasted revenue and actual revenue as a percentage. This directly quantifies forecasting errors, so smaller percentage differences mean more accurate forecasts. It’s intuitive: if your forecast and results align closely, the percentage difference is small, signaling reliable planning and targets. For example, if you forecast $1 million but actual revenue is $950,000, the difference is $50,000. As a percentage of actual revenue, that’s about 5.3% error. Tracking this over time lets you gauge forecast quality, set improvement targets, and adjust your forecasting process accordingly. Other options measure different aspects of the business—how long sales take, how much each deal is worth, or customer sentiment—not how accurately you predict future revenue.

Measuring how close your forecast is to what actually happened is the key idea. The best KPI for this is the metric that expresses the gap between forecasted revenue and actual revenue as a percentage. This directly quantifies forecasting errors, so smaller percentage differences mean more accurate forecasts. It’s intuitive: if your forecast and results align closely, the percentage difference is small, signaling reliable planning and targets.

For example, if you forecast $1 million but actual revenue is $950,000, the difference is $50,000. As a percentage of actual revenue, that’s about 5.3% error. Tracking this over time lets you gauge forecast quality, set improvement targets, and adjust your forecasting process accordingly.

Other options measure different aspects of the business—how long sales take, how much each deal is worth, or customer sentiment—not how accurately you predict future revenue.