2026
Data SystemsRetention AnalyticsProduct
CustomerRetentionSystem
A retention platform that identifies at-risk customers before they leave and triggers targeted outreach automatically.
Impact
- 23% reduction in monthly churn
- 18% increase in customer lifetime value
- Early warning system 30 days before cancellation
The Challenge
Service businesses lacked visibility into which customers were at risk. Generic CRM tools missed behavioral signals unique to membership based businesses.
The Approach
Built behavioral tracking for attendance, payment history, and engagement. Applied survival analysis and Machine Learning to generate churn risk scores. Integrated automated outreach workflows.
The Outcome
Businesses now identify at-risk customers 30 days in advance with 87% accuracy. Automated campaigns recover 1 in 4 at-risk customers. Average customer lifetime extended by 4.2 months.
What I worked on
- Product structure and user workflows
- Data modeling and churn prediction logic
- Dashboard design and data visualisation
- Automated alert and intervention system
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