A statistical framework that combines prior beliefs (evidence-based assumptions about how a system behaves) with observed data to continuously update estimates. In marketing measurement, this means starting from an informed baseline, such as expected ROAS ranges for a given channel, and refining it as new evidence arrives rather than treating each analysis as starting from zero.
Last updated:
July 28, 2026