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Marketing Science comprises books that apply data, quantitative models, and empirical research to understand and improve marketing decisions. Drawing on economics, statistics, psychology, and data science, these titles explore topics such as consumer behavior and segmentation, pricing and promotion, media mix and attribution, experimentation and causal inference, forecasting and customer lifetime value, and the use of AI and analytics in digital channels. The category spans foundational theory and methods (e.g., econometrics, choice modeling, optimization) as well as practical guides and case studies that show how to design tests, build predictive models, and translate insights into strategy. Geared to students, researchers, and analytically minded practitioners, Marketing Science focuses on evidence-based approaches that drive more effective, measurable growth.

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