Customer Defection Prediction Model
Jump to navigation
Jump to search
A Customer Defection Prediction Model is a binary predictive model that predicts customer defections (customer churn).
- Context:
- …
- Example(s):
- Counter-Example(s):
- See: Customer Profile, Customer Retention Task.
References
2015
- http://predictionimpact.com/retention-with-predictive-analytics.html
- QUOTE: How much higher would your revenue climb if you could predict which customers are likely to churn? Predictive analytics targets customer retention campaigns to ensure bottom-line ROI. By predicting which customers are at risk for defection, campaign dollars are applied effectively -- without predictive targeting, a retention campaign may cost more than it gains.