"Facing customer attrition issue Wanted to identify the customers who were likely to attrite so that retention marketing campaigns could be executed Wanted to do a pilot before nation wide rollout"
Xerago collaborated with the network provider, reviewed the marketing challenge and identified an analytics led churn model as the solution.A churn model uses predictive analytics to identify customer behavioral patterns that indicate likelihood of customer attrition. Used Unica Affinium 5.8 to build a churn model and identified the top three segments that were likely to churn. Started by defining “Attrition” profile. Identified that a logistic model using customer usage data on Voice Calls, SMS, VAS, Roaming and Recharges made would be appropriate. Performed analysis and modeling on the remaining customer base by deriving over 100 different variables using the input variables. Used CHAID Algorithm to predict the churn behavior and identified the top three segments that were likely to attrite.