Protect Wallet Share and Lifetime Value

Discover how lenders can strengthen prime portfolio performance by combining traditional credit risk strategies with first-party fraud analytics to identify hidden risk and improve early payment default detection.

Key insights:

• Traditional credit scores measure ability to repay but may not identify consumers with no intent to repay. 
• First-party fraud models can uncover hidden early payment default risk within prime portfolios and improve risk segmentation. 
• Research shows measurable lift in early delinquency detection and ROI when fraud analytics complement credit scoring.

A concise guide to simplifying business credit modeling with automation. Learn how microservices streamline validation, testing, and analysis to help relationship managers, credit analysts, and adjudicators reduce manual effort, improve risk visibility, and make faster, more confident lending decisions.

Gain a clearer view of how consumers earn, spend, and manage their money in today’s evolving economic landscape. In this webinar, Experian experts break down the financial behaviors shaping demand, risk, and growth—using macroeconomic trends, credit data, and transaction-level cash flow insights.

• Key trends in spending, income stability, and cash flow
• What credit and cash flow signals reveal about your customers
• How to apply these insights to marketing, risk, and growth strategies 

Model classification now drives governance in AI environments—but many frameworks lag reality. Static, inconsistent approaches create risk as inventories grow.

• Refresh classification continuously
  
• Map dependencies and shadow models
  
• Standardize decisions and documentation