Retention and Churn Modeling
Applying Business Analytics Webinar Series

Predicting customer churn continues to become an increasingly hot topic as rates of attrition in the retail, telecom, healthcare and financial service industries reach epidemic levels. With the cost of acquiring new customers far exceeding the cost of retaining current customers, the need for preventing churn boils down to simple economics.

Despite the evident need for retaining existing customers, it simply is not practical to proactively retain the millions of active customers a company has. The challenge lies in predicting who will churn, identifying what is driving churn, and applying targeted retention strategies. What's the most reliable and consistent way to uncover the causes of customer defection? How do you use that information to prevent future loss?

Join David Ogden, Analytical Consultant for SAS, as he discusses:

  • Business applications of retention/churn models, including process improvement, target marketing and call center flags.
  • Modeling approaches, including predictive modeling of macro churn, logistic regression for individual churn propensity and survival modeling of the customer life cycle.
  • Opportunities for taking churn modeling to the next level with text mining.

 

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Questions? Contact Buffie Silva at Buffie.Silva@sas.com or (919) 531-0345.