Teaching Marketing Analytics
Melding Theory, Practice, and Hands-on Applications
G. S. Erickson(Editor)
Edward Elgar Publishing
Will be published approx. on 16. June 2026
Book
Hardback
208 pages
978-1-0353-2980-9 (ISBN)
Description
This timely book examines the opportunities and challenges of teaching marketing analytics, providing a practical toolkit for educators in a rapidly developing field. Expert contributors review how marketing research has evolved, surveying the overlap between teaching these courses and investigating crucial topics such as AI.
Chapters analyze various tools for teaching marketing analytics, including eye-tracking software, simulations, certifications, and laboratory space. The book assesses the development of innovative approaches utilized, such as customer relationship management (CRM), search and website metrics, and social media content creation and management. It also emphasizes the importance of teaching AI and its relationship to other intangible assets, as well as incorporating AI ethics into marketing analytics courses.
This is an essential resource for educators teaching marketing courses, as well as students and scholars in business and management, marketing research, analytics, and digital marketing.
Chapters analyze various tools for teaching marketing analytics, including eye-tracking software, simulations, certifications, and laboratory space. The book assesses the development of innovative approaches utilized, such as customer relationship management (CRM), search and website metrics, and social media content creation and management. It also emphasizes the importance of teaching AI and its relationship to other intangible assets, as well as incorporating AI ethics into marketing analytics courses.
This is an essential resource for educators teaching marketing courses, as well as students and scholars in business and management, marketing research, analytics, and digital marketing.
Reviews / Votes
'There are as many perspectives on how to teach marketing analytics as there are faculty members teaching it. Most Marketing educators agree that the common thought through all the approaches is the focus on "Data-driven decision making." Erickson's Teaching Marketing Analytics provides a number of views, examples and topics that are related to effectively teaching marketing analytics all tied to the underlying goal of teaching students to be "data-driven decision makers." This is crucial since marketing is the most data-driven area in all businesses. This book is a great entry point for anyone that is planning to teach a marketing analytics course.' -- John A. "Jack" Schibrowsky, University of Nevada, Las Vegas, USA 'Teaching Marketing Analytics addresses contemporary challenges related to big data, digital platforms, and artificial intelligence. The book offers a clear and coherent guide to navigating the transition from traditional marketing research to modern marketing analytics, providing instructors with concrete support for making informed and strategic decisions.' -- Juan Gabriel Cegarra-Navarro, Universidad Politecnica de Cartagena, Spain 'Professor Erickson's new book provides some keen insights on teaching a marketing analytics course. With the continued impact of AI, machine learning, predictive modeling, simulation, and other approaches, this book sheds valuable examples for helping those improve their teaching in marketing analytics.' -- Jay Liebowitz, Thomas Jefferson University, USA 'Marketing is becoming irreversibly data-driven, yet teaching has struggled to keep pace. This book does exactly what is needed: it clarifies how marketing analytics should be taught, learned, and integrated into modern curricula. A timely and valuable contribution.' -- Klaus Solberg Soeilen, Halmstad University, SwedenMore details
Series
Language
English
Place of publication
Cheltenham
United Kingdom
Target group
Professional and scholarly
Dimensions
Height: 234 mm
Width: 156 mm
ISBN-13
978-1-0353-2980-9 (9781035329809)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Person
Edited by G. Scott Erickson, Professor of Marketing, School of Business, Ithaca College, USA