Challenge
Reactive retention approach with no early warning system for at-risk policyholders, resulting in preventable cancellations.
Solution
Build Einstein AI retention prediction model with automated identification of at-risk policyholders and triggered retention campaigns.
Key Outcomes
- AI-predicted policy cancellation risk
- Proactive retention outreach
- 38% reduction in policy cancellations
- Enhanced lifetime customer value
Tags
retentionaiinsuranceeinsteinpredictive-analytics
Implementation Timeline
14-18 weeks
High Complexity