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Introduction to Algorithmic Marketing: Artificial Intelligence for Marketing Operations
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
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
508 pages, Paperback
Published December 1, 2017
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Displaying 1 - 3 of 3 reviews
January 7, 2024
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.
April 12, 2018
Probably the most comprehensive book on the subject. While it is math intensive, it is beautifully written. Highly recommended.
July 12, 2025
This book is just amazing ! A lovely primer and reference book for anyone in the Algorithmic marketing side.
Displaying 1 - 3 of 3 reviews



