Applying and evaluating models to predict customer attrition using data mining techniques.

As competition intensifies, retaining customers becomes single of the most serious challenges facing customer service providers. Customer attrition prediction moulds hold great promise as powerful tools for enhancing customer retention. Several statistical [i]modus operandi[/i]s have been applied to evolve models predicting customer attrition. still little research is done upon the relative performance of moulds developed by different methods. The lack of knowledge about the performance of various prediction designs is more pronounced due to the nonlinear nature of the combined causes of attrition (such as switching to another provider or canceling a service). The exhibition of data mining techniques has made