Marketing Engineering

Marketing measurement is broken. Multi-touch attribution confuses correlation with causation. Last-click models overvalue bottom-funnel channels. Most companies allocate budgets based on numbers that are systematically wrong. This series applies causal inference, Bayesian methods, and econometric techniques to marketing measurement — covering DAG-based attribution, Marketing Mix Modeling, incrementality testing, CLV-based bidding, and the unified measurement architectures that separate marketing science from marketing theater.

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