A Fortune 1000 company providing financial technology services required a solution to predict the churn probability for each of its merchants in order to reduce merchant attrition through targeted campaigns.
Client Challenges and Requirements
- The Client had a large reserve of data with insufficient information of factors influential towards merchant attrition in order to build a prediction model
- No concrete definition of label variable (Merchant Attrition)
Bitwise created a prediction model that enabled the Client to make reliable predictions for a merchant’s propensity to churn. Implementation included: