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RevEvolve

Forecast Accuracy

How closely a forecast matched actual results, typically measured at 30/14/7-day intervals before arrival.

FormulaAccuracy = 1 − (|Forecast − Actual| ÷ Actual)

What it means in plain language

Forecast accuracy is the trust score on your demand model. Best-in-class shops hit 95%+ at 7 days out. The trick is breaking down errors by segment, day-of-week, and lead time - a 95% blended number can hide a 60% accuracy on group conversions and a 99% accuracy on transient. Fix the leak, not the average.

How Forecast Accuracy fits in the bigger picture

Forecast Accuracy doesn't live alone - it sits inside the Metrics & KPIs category and connects to 3 closely related concepts most working revenue managers track in the same breath. Pair this definition with the related terms below to build a working mental model - definitions in isolation are easy to memorize and easy to misuse.

Related terms you should also know

Each of these is one click away - start with whichever you don't already use daily:

More from Metrics & KPIs

Step 2 - Run the numbers

Now that you know what Forecast Accuracy means - let RM Copilot tell you why yours dropped this week.

Same definition, but Copilot does the math, the segment analysis, and the rate recommendation - and explains the move in plain language.