From the reviews: "This is an excellent in-depth overview of both well-known and very recent topics in customer management models. It is an absolute must for marketers who want to enrich their knowledge on customer analytics." (Peter C. Verhoef, Professor of Marketing, Faculty of Economics and Business, University of Groningen) "A marvelous combination of relevance and sophisticated yet understandable analytical material. It should be a standard reference in the area for many years." (Don Lehmann, George E. Warren Professor of Business, Columbia Business School) "The title tells a lot about the book's approach--though the cover reads, "database," the content is mostly about customers and that's where the real-world action is. Most enjoyable is the comprehensive story - in case after case - which clearly explains what the analysis and concepts really mean. This is an essential read for those interested in database marketing, customer relationship management and customer optimization." (Richard Hochhauser, President and CEO, Harte-Hanks, Inc.) "In this tour de force of careful scholarship, the authors canvass the ever expanding literature on database marketing. This book will become an invaluable reference or text for anyone practicing, researching, teaching or studying the subject." (Edward C. Malthouse, Theodore R. and Annie Laurie Sills Associate Professor of Integrated Marketing Communications, Northwestern University)

• Introduction.- Why Database Marketing.- Organized for Database Marketing.- Customer Privacy in a CRM Environment.- LTV Fundamentals.- LTV Advanced Issues.- LTV Applications.- Sources of Data.- Test Design and Analysis.- The Predictive Modeling Process.- Foundations of Statistical Modeling.- RFM Analysis.- Market Basket Analysis.- Collaborative Filtering.- Discrete Dependent Variable and Duration Models.- Cluster Analysis.- Decision Trees.- Neural Networks.- Machine Learning.- Acquiring Customers.- Cross-Selling and Up-Selling.- Frequency Reward Programs.- Customer Tier Programs.- Churn Management.- Multi-Channel Customer Management.- Acquisition and Retention Management.- Communications Design.- Multi-Contact Customer Management.- Pricing.- Glossary of Database Marketing Terms.- Index.

From the reviews: "This is an excellent in-depth overview of both well-known and very recent topics in customer management models. It is an absolute must for marketers who want to enrich their knowledge on customer analytics." (Peter C. Verhoef, Professor of Marketing, Faculty of Economics and Business, University of Groningen) "A marvelous combination of relevance and sophisticated yet understandable analytical material. It should be a standard reference in the area for many years." (Don Lehmann, George E. Warren Professor of Business, Columbia Business School) "The title tells a lot about the book's approach--though the cover reads, "database," the content is mostly about customers and that's where the real-world action is. Most enjoyable is the comprehensive story - in case after case - which clearly explains what the analysis and concepts really mean. This is an essential read for those interested in database marketing, customer relationship management and customer optimization." (Richard Hochhauser, President and CEO, Harte-Hanks, Inc.) "In this tour de force of careful scholarship, the authors canvass the ever expanding literature on database marketing. This book will become an invaluable reference or text for anyone practicing, researching, teaching or studying the subject." (Edward C. Malthouse, Theodore R. and Annie Laurie Sills Associate Professor of Integrated Marketing Communications, Northwestern University)

• Introduction.- Why Database Marketing.- Organized for Database Marketing.- Customer Privacy in a CRM Environment.- LTV Fundamentals.- LTV Advanced Issues.- LTV Applications.- Sources of Data.- Test Design and Analysis.- The Predictive Modeling Process.- Foundations of Statistical Modeling.- RFM Analysis.- Market Basket Analysis.- Collaborative Filtering.- Discrete Dependent Variable and Duration Models.- Cluster Analysis.- Decision Trees.- Neural Networks.- Machine Learning.- Acquiring Customers.- Cross-Selling and Up-Selling.- Frequency Reward Programs.- Customer Tier Programs.- Churn Management.- Multi-Channel Customer Management.- Acquisition and Retention Management.- Communications Design.- Multi-Contact Customer Management.- Pricing.- Glossary of Database Marketing Terms.- Index.