Calibration

The process of aligning a model’s statistical estimates with validated external evidence — such as lift test results or benchmark studies — to improve accuracy and trust. In Bayesian MMMs, calibration often happens by incorporating experimental outcomes into the model as priors, bridging the gap between correlation-based inference and proven causality.