Predictive Analytics Engine

Decision Pipeline • 47,832 Members • 87.3% Model Accuracy

At-Risk Members
4,668
+% vs prior
30-Day Attrition
342
% vs forecast
Retention ROI
8.7x
+% improvement
Cross-Sell Opps
4,523
+% identified
High Risk Loans
89
%
Deposit Flight Risk
2.8%
%
Value at Risk
$1.2M
Member LTV
Model Accuracy
87.3%
Target: 85%

Predictive Actions Required

Key Insights

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

Attrition Forecast

30/90-day predictions vs actual

Risk Score Distribution

Members by risk tier

Retention ROI by Intervention

Return on investment multiple

Growth Projections

12-month membership scenarios

Risk Score Distribution

Risk TierMember CountAttrition Rate
Low (0-40)43,1642.0%
Medium (41-60)3,4216.5%
High (61-80)87213.0%
Very High (81-100)37426.0%