Churn intelligence
Customer retention
Predict which customers are about to leave, understand why, and act while there is still time.
12-18%
reduction in voluntary churn
3x
lift on save-offer response
Weekly
refreshed risk scores in CRM
The problem
Retention programs usually fire late and treat every at-risk customer the same. We build churn models that score the base continuously and rank interventions by expected value, not by gut feel.
What you get
- Churn risk model and scoring pipeline
- Driver attribution dashboard
- Offer optimisation playbook
How we approach it
- 01
Unify transactions, service tickets, and engagement signals into a single customer timeline
- 02
Train survival and gradient-boosted churn models with explainable driver attribution
- 03
Simulate offers and contact strategies before a single rupee or dollar is spent
- 04
Ship scores into CRM and campaign tools with monitored drift and refresh cadence
