Predictive Analytics Engine

Executive Summary

January 2026 • Predictive Intelligence Report

At-Risk Members
4,668
$1.2M value at risk
Model Accuracy
87.3%
Target: 85%
Retention ROI
8.7x
Return on interventions

Predictive Metrics

342
30-Day Attrition
89
High Risk Loans
2.8%
Deposit Flight Risk
4,523
Cross-Sell Opps

Key Insights

Strong Model Performance — 87.3% accuracy — exceeds 85% threshold
At-Risk Members Identified — 4,668 members in medium/high risk tiers
Cross-Sell Pipeline — 4,523 high-propensity opportunities identified

Pending Decisions (2)

Attrition Intervention
1,847 members in high/very-high risk tiers - $6.3M lifetime value at risk
Cross-Sell Execution
4,523 high-propensity opportunities identified - $2.1M revenue potential

Strategic Recommendations

1
Launch Personalized Retention Campaign
Target 1,247 high-risk members with personalized offers.
Expected Impact: Preserve member value and reduce attrition
2
Execute Cross-Sell Campaign
Target 4,523 high-propensity opportunities.
Expected Impact: Revenue growth from existing members
3
Monitor Loan Default Risk
89 loans in high-risk band — review collection strategy.
Expected Impact: Reduce expected credit losses

Decision Pipeline Status

3
Total Decisions
2
Pending
1
Resolved
%
SLA Compliance