Identify and list the customers who are likely to churn.
- Start by collecting the available data
- Apply analytics to build a predictive churn model
- Generate a list of customers likely to churn
The client then launches their preventive retention campaigns, focusing precious marketing dollars on the customers identified.
All is good. The client gets:
- A predictive churn model
- Incremental lift from reduced churn
Every bit counts in the world of churn.
But to our Decision Engineers, it’s not enough.