Econometrics
Short answer
Econometrics is the branch of statistics that uses economic theory and regression models to quantify cause-and-effect relationships from observational data. In marketing, econometrics is the engine inside MMM.
Short answer
Econometrics is the branch of statistics that uses economic theory and regression models to quantify cause-and-effect relationships from observational data. In marketing, econometrics is the engine inside MMM.
Econometrics started in economics to test theories with real-world data (interest rates, inflation, GDP). Marketing borrowed the same toolkit: regression, time-series, causal inference: to answer questions like "what did TV really do to sales last quarter?" Every serious MMM is an econometric model.
They specify a model, clean and align data, control for confounders (seasonality, price, distribution), estimate parameters, validate them (residuals, back-testing, holdouts) and translate coefficients into decisions. Modern practice leans Bayesian so uncertainty is explicit.
Signal loss, cookie deprecation and AI-generated noise have made platform metrics less trustworthy. Econometrics is the discipline that survives because it works on aggregate outcomes, not user-level tracking.
Yes: MMM is applied marketing econometrics.
No, but you need someone who understands identification, priors and validation: not just how to run a regression.
Bayesian MMM, calibrated with experiments, refreshed monthly, delivered as a decision system.
Explore our solutions