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Machine Learning as the CLV Game Changer
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Classroom Contents
Maximizing Credit Card Profitability with ML-Driven CLV
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- 1 Welcome & Talk Topic: ML-Driven Customer Lifetime Value
- 2 Agenda Overview: Credit Card Dynamics, CLV, ML, and Use Cases
- 3 Credit Card Economics 101: Acquisition vs. Customer Management
- 4 Why Customer Lifetime Value Matters Acquisition, Portfolio, Forecasting
- 5 Machine Learning as the CLV Game Changer
- 6 Key CLV Model Outputs: Spend, Revolve, Pay, Default Risk
- 7 What Data Powers CLV Models: Spend, Payments, Utilization, Bureau
- 8 From Raw Data to Models: Feature Engineering & ML Approaches
- 9 Model Governance: Validation, Segment Fit, Testing, Monitoring, Stress
- 10 Real-World Applications Across the Lifecycle Acquisition & Management
- 11 Measuring Impact: Faster Breakeven, Better Risk/Reward, Smarter Resourcing
- 12 Key Takeaways, Validation Warning, and Closing
