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About Edward C. Malthouse

Edward C. Malthouse author photo Edward C. Malthouse is the Theodore R. and Annie Laurie Sills Professor of Integrated Marketing Communications and Industrial Engineering at Northwestern University and the Director of Research for the Spiegel Initiative on Database and Digital Marketing. He was the co-editor of the Journal of Interactive Marketing from 2005–2011. He obtained his PhD in 1995 in computational statistics from Northwestern University and completed his postdoctoral fellowship at the Kellogg School of Management at Northwestern.

Malthouse's research interests center on media marketing, database marketing, advertising, new media, and integrated marketing communications. He is the co-editor of Medill on Media Engagement, and he has published articles in numerous journals, including the Journal of Consumer Psychology, Journal of Interactive Marketing, Data Mining and Knowledge Discovery, Journal of Broadcasting and Electronic Media, International Journal of Market Research, and Journal of Media Business Studies. He teaches undergraduates, graduates, and executives, and he has been a visiting professor at universities in Japan, China, and Europe.

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Segmentation and Lifetime Value Models Using SAS book cover Segmentation and Lifetime Value Models Using SAS
By Edward C. Malthouse
Anticipated publication date: Third quarter 2013

Help your organization determine the value of its customer relationships with Segmentation and Lifetime Value Models Using SAS. This book contains a wealth of information that will help you perform analyses to identify your customers and make informed marketing investments. It answers core questions on customer relationship management (CRM) and provides an overall framework for thinking about CRM and offering real-world examples across a variety of industries.

Edward C. Malthouse introduces you to a number of useful models, ranging from simple to more complicated examples, and discusses their applications. You'll learn about segmentation models for identifying groups of customers and about lifetime value models for estimating the future value of the segments. You'll learn how to prepare data and estimate models using Base SAS, SAS/STAT, SAS/IML, and SQL.

Marketing analysts, CRM analysts, database managers, and anyone looking to address the challenges of allocating marketing resources to different customer groups will benefit from the concepts and exercises in this book. Analysts will learn how to approach unique business problems. Managers will gain a sense of what's possible and what to ask of their analytics departments.

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