Commenced in January 2007
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Edition: International
Paper Count: 30075
Churn Prediction: Does Technology Matter?

Authors: John Hadden, Ashutosh Tiwari, Rajkumar Roy, Dymitr Ruta


The aim of this paper is to identify the most suitable model for churn prediction based on three different techniques. The paper identifies the variables that affect churn in reverence of customer complaints data and provides a comparative analysis of neural networks, regression trees and regression in their capabilities of predicting customer churn.

Keywords: Churn, Decision Trees, Neural Networks, Regression.

Digital Object Identifier (DOI):

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