Definition #
ML models analyzing engagement patterns to predict attrition.
Key Characteristics #
- Usage frequency
- Support ticket
- Payment history
- Win-back
Why It Matters #
Reduces churn by 35% (McKinsey).
Common Use Cases #
- Telecom
- SaaS
- Banking
Examples #
- Gainsight
- Totango
- ChurnZero
FAQs #
Q: Early warning?
A: Flags risks 60-90 days pre-churn.
Q: Actionable?
A: Suggests personalized retention offers.