Calibration

The process of aligning a model's statistical estimates with validated external evidence, such as incrementality test results or benchmark studies, to improve accuracy and trust. In Bayesian MMMs, calibration usually means incorporating experimental outcomes as priors, which bridges correlation-based inference and proven causality.