Predicted 90-Day Attrition
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Cross-Sell Opportunities
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Retention ROI Multiple
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Attrition Forecast Accuracy
30/60/90-day predictions vs. actual outcomes
Member Risk Score Distribution
Risk segmentation and attrition correlation
Loan Default Risk Analysis
Portfolio exposure by product type
Deposit Flight Risk by Account Type
Balance at risk across deposit products
Cross-Sell Opportunity Matrix
High-propensity recommendations by segment
Member Growth Projections
12-month scenario planning
Retention Intervention ROI
Cost-benefit analysis by intervention type
Predictive Insights
1,847 members flagged as high-risk for attrition in next 90 days. Early warning system identifies behavior patterns 60 days before typical churn indicators.
→ Action: Deploy personalized retention campaigns to top 500 highest-risk members
Credit card portfolio shows 8.5% default probability but represents only $289K at-risk balance. Model accuracy improved 15.2% quarter-over-quarter through enhanced feature engineering.
→ Action: Implement early intervention protocol for 23 high-risk credit card accounts
4,523 members show high propensity for additional products. Gen Z and Millennials exhibit 94.2% and 87.3% digital adoption, indicating strong receptivity to app-based product recommendations.
→ Action: Launch AI-powered product recommendation engine in mobile app
Proactive retention interventions deliver 8.7:1 ROI on average. "Personalized Offers" strategy shows highest efficiency at $75 per member cost with 68% retention lift.
→ Action: Allocate $138,000 to personalized offer campaigns for projected $1.2M value preservation
Deposit flight risk holding steady at 2.8% of total deposits. Checking accounts represent highest risk concentration with 523 high-risk accounts totaling $8.9M exposure.
→ Action: Pilot relationship deepening program for at-risk checking account holders