CHAMP: A prototype for automated cellular churn prediction

Document Type

Article

Publication Date

1-1-1999

Abstract

We describe CHAMP (CHurn Analysis, Modeling, and Prediction), an automated system for modeling cellular customer behavior on a large scale. Using historical data from GTE's data warehouse for cellular phone customers, every month CHAMP identifies churn factors for several geographic regions and updates models to generate churn scores predicting who is likely to churn within the near future. CHAMP is capable of developing customized monthly models and churn scores for over one hundred GTE cellular phone markets totaling 5 million customers. © 1999 Kluwer Academic Publishers.

Publication Source (Journal or Book title)

Data Mining and Knowledge Discovery

First Page

219

Last Page

225

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