Elevating credit risk analysis: advanced reject inferencing techniques

Reaching the right consumers with credit offerings can be challenging without the right technology. Our optimized prescreen model and strategy service, Ascend Intelligence Services™ Target, can help organizations identify consumers who meet credit offer criteria, increasing the likelihood of positive responses.

With access to Experian’s historical data, financial institutions can:

• Identify the consumers who meet their credit criteria 
  
• Increase the likelihood of positive responses to their offers 
  
• Get the most ROI out of their marketing campaigns while staying within budget

By optimizing their prescreen strategies, organizations can reach more of the right consumers to grow their customers bases and drive revenue.

As published on the Business Information blog in a post titled Fintechs Transforming Financing and Growth -  the fintech industry has grown by 140% since 2018, with North America leading at 34% of global market share. This video recaps some of our research including:

• North American Dominance: North America accounts for over 34% of the global fintech market, making it a key player in the industry’s expansion.
• Innovative Solutions: Fintech companies have transformed traditional financial services with digital solutions in areas like payments, lending, personal finance, and investment management—led by apps like Venmo, Cash App, and Apple Pay.
• Increased Credit Activity: Businesses using fintech financing are 270% more credit-active than those relying on traditional financing, with higher inquiries, trades, credit lines, and balances.
• Higher Risk: Despite increased access to capital, fintech-financed businesses exhibit higher delinquency rates and lower credit scores, presenting added risks for lenders.

Check out the full report to see how these trends could impact your strategy!

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Our expert panel discusses the critical questions addressing machine learning in credit risk and key findings for best practices for building, fine-tuning and deploying robust and effective ML models.

Leverage data and AI to enhance the precision, speed and agility of decision-making processes.