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Evidence-based marketing is a book category focused on making marketing decisions grounded in rigorous data, research, and the scientific method rather than intuition or trends. Titles in this category synthesize academic findings and real-world studies to show what works, why it works, and how to measure it—covering methods such as A/B testing and randomized experiments, marketing mix modeling, attribution and incrementality, causal inference, forecasting, and customer lifetime value analysis. Readers learn how to design reliable tests, interpret statistics, separate correlation from causation, and build dashboards and KPIs that tie activity to business outcomes and ROI. The category spans practical playbooks, case studies, and toolkits as well as textbooks that draw on statistics, econometrics, behavioral science, and data science. It’s aimed at marketers, analysts, product leaders, and students who want reproducible, accountable, and ethically sound marketing.

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