Introduction to Algorithmic Marketing is a comprehensive guide to advanced marketing automation for marketing strategists, data scientists, product managers, and software engineers. It summarizes various techniques tested by major technology, advertising, and retail companies, and it glues these methods together with economic theory and machine learning. The book covers the main areas of marketing that require programmatic micro-decisioning - targeted promotions and advertisements, eCommerce search, recommendations, pricing, and assortment optimization.
Table of Contents Chapter 1 - Introduction Chapter 2 - Review of Predictive Modeling Chapter 3 - Promotions and Advertisements Chapter 4 - Search Chapter 5 - Recommendations Chapter 6 - Pricing and Assortment
One of the most comprehensive books on Data science in marketing. Some foundational math knowledge is required (functions, linear algebra, calculus etc) but I found it extremely useful as a product manager.