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‘There are good books on marketing principles, on analytical models and on statistical software, but not on the combination of these three areas. This is where Applied Marketing Analytics Using R breaks new ground and offers exceptional value to the practice of marketing model building. The marketing decision areas are carefully selected, the modeling principles are well explained, and the case studies offer relevant applications of the R software modules. I recommend this book with enthusiasm!’
 

'Kubler and Yildirim manage to mix tried-and-true marketing models with recent advances in machine learning to offer a coherent, practical, and down-to-earth toolbox for data-driven marketers. A must-have for modern marketing managers.'

Applied Marketing Analytics using R is an exceptional resource for individuals eager to achieve business success and students seeking an extensive exploration of marketing analytics and R. Unlike many purely academic books, Yildirim from Imperial College and Kubler from ESSEC seamlessly blend a rigorous academic perspective with a practical approach to solving real-world marketing problems.

'This book brings a much-needed practical perspective to scientifically sophisticated marketing analytics. The authors Gokhan and Raoul truly represent the best of both worlds, being both accomplished marketing academics and practical data scientists. They start each chapter with a case study ranging from US banks to EU skincare, and UK airlines to Turkish kitchens and Finnish game developers. I love the natural flow of the book chapters, following the market orientation structure of segmentation, targeting, positioning and marketing mix modeling.