Introduction to
Algorithmic Marketing

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 micro-decisioning – targeted promotions and advertisements, eCommerce search, recommendations, pricing, and assortment optimization.

"A comprehensive and indispensable reference for anyone undertaking the transformational journey towards algorithmic marketing."

—Ali Bouhouch, CTO, Sephora Americas

“Its all possible now. This book brings practicality to concepts that just a few years ago would have been dismissed as mere theory. It features principled framing that captures what the best marketers innately feel but cannot express.”

—Eric Colson, Chief Algorithms Officer, Stitch Fix

“Introduction to Algorithmic Marketing isn’t just about machine learning and economic modeling. It’s ultimately a framework for running business and marketing operations in the AI economy.”

—Kyle McKiou, Sr. Director of Data Science, The Marketing Store

“The book gives the executives, middle managers, and data scientists in your organization a set of concrete, actionable, and incremental recommendations on how to build better insights and decisions, starting today, one step at a time.”

—Victoria Livschitz, founder and CTO, Grid Dynamics

“This book provides a much-needed collection of recipes for marketing practitioners on how to use advanced methods of machine learning and data science to understand customer behavior, personalize product offerings, optimize the incentives, and control the engagement – thus creating a new generation of data-driven analytic platform for marketing systems.”

—Kira Makagon, Chief Innovation Officer, RingCentral