Working Paper
The Incremental Value of Unstructured Data in Predicting Customer Churn
Mar 9, 2020
Analyzes data from 50,000 customers from a European telecom provider to extract new structured information from written customer feedback, and combines these data with customer database variables and Net Promoter Scores; uses a series of Cox proportional hazard models to show predictions for customer churn.