An experimental technique that isolates true causal impact. It randomly splits audiences into a test group (exposed to marketing) and a control group (not exposed) to measure lift — the difference directly caused by advertising. These experiments provide ground truth data that can be used to calibrate or inform priors in a Bayesian MMM.