Key Takeway

A Bayesian model integrating multiple marketing interventions over time combines the causal-inference advantages of randomized experimentation with the longitudinal richness of repeated observational data. Results reveal that marketing effectiveness depends much more on customer receptivity than campaign design or timing, pointing to the need for—and means of—better targeting.