Predicting Customer Churn For A Credit Card Company

Project Details

Term: 

2005

Students: 

Cecily Rekart, Craig Lowenstein, Crystal Trainor, Ernest Chrappah, Maieka Hansard

University: 

UMD

Presentation: 

A major credit card company with travel offices in UK, France, Britain, and Germany is experiencing high rates of customer defection: 20%-30%. The project goal is to create a predictive model to predict which current customers are likely to leave.

Application Area: