Marketing Analytics, 2ed
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Description
Marketing Analytics offers students, educators, and practitioners a practical guide to applying statistical, machine learning, and generative AI models to marketing decisions. The book serves as a unified reference for key marketing areas such as branding, product development, pricing, marketing mix, and customer journey. It addresses decision-making challenges across several industries, including CPG, hospitality and restaurants, e-commerce, retail, and entertainment. The text highlights trade-offs in inference based on industry-specific data, data limitations, and regulatory norms governing data usage. The book demonstrates use cases with models built using Microsoft Excel, R, and Python-three widely used tools in the analytics industry. In addition, the second edition introduces data visualization as a means of communicating insights and inferences, featuring Microsoft Power BI. Overall, the book provides a comprehensive introduction to making marketing decisions through data and analytics.
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