Logo
  • Home
  • Content library
  • Tools
  • About
Get in touch
Home

Forecast error

Definition

It measures the accuracy of your forecast. It’s the relative difference (in %) between what you forecasted and what you end up closing.

It is calculated as

( [Forecast for the period] - [New ARR in the period] ) / [New ARR in the period] * 100

The forecast for the period should be a snapshot taken at the beginning of the quarter (or month, if your forecast monthly). It’s a good practice to measure it 2-3 weeks into the quarter (or days in case of monthly forecast) to allow for cleanup.

gtmsecondbrain.com

© Giorgio Luparia (Luparia GTM Consulting)

LinkedIn