Churn Management

  • Robert C. Blattberg
  • Byung-Do Kim
  • Scott A. Neslin
Part of the International Series in Quantitative Marketing book series (ISQM, volume 18)


While database marketing activities such as cross-selling, upselling, frequency reward, and customer tier programs focus on developing the customer, there is always the fear that in the midst of these efforts, the customer will decide to leave the company, i.e., “churn.” We discuss the approaches that can be used to control customer churn, focusing on proactive churn management, where the customer is contacted ahead of when he or she is predicted to churn, and provided a service or incentive designed to prevent the customer from churning. We review predictive modeling of customer churn, and present a framework for developing a proactive churn management program.


Customer Satisfaction Predictive Accuracy False Alarm Rate Credit Card Switching Cost 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer Science+Business Media, LLC 2008

Authors and Affiliations

  • Robert C. Blattberg
    • 1
    • 2
  • Byung-Do Kim
    • 3
  • Scott A. Neslin
    • 4
  1. 1.Kellogg School of ManagementNorthwestern UniversityEvanstonUSA
  2. 2.Tepper School of BusinessCarnegie-Mellon UniversityPittsburghUSA
  3. 3.Graduate School of BusinessSeoul National UniversitySeoulKorea
  4. 4.Tuck School of BusinessDartmouth CollegeHanoverUSA

Personalised recommendations