AI Customer Churn Prediction
Result: Reduced churn by 40% within 6 months of implementation.
Key Result
This SaaS engagement delivered: Reduced churn by 40% within 6 months of implementation.
What was the problem?
Monthly churn rate of 8% with no early warning system.
How was it solved?
Built predictive churn model with proactive retention workflows.
What was the analytical approach?
Analyzed 2 years of customer behavior data and identified 15 churn indicators.
Tools & Methods
PythonSQLTableauNotion
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