Increasing efficiency and funding rates with automated decisioning

Lending institutions can gain an edge on the competition by determining what happens when a loan gets booked elsewhere. With loan loss analysis, lenders can learn more about where these lost loans are booked, the average loan amount, the interest rate, the loan term length, and the average risk score.

Analyzing this information can help lenders:

• Improve lead quality
  
• Target the right consumers
  
• Acquire more high-quality loans
  
• Increase cross-sell opportunities

Relying solely on traditional credit scores can leave you with a limited view into consumers’ financial stability.

See how integrating alternative data can help you:

• Identify more qualified borrowers
• Spot potential risks
• Strengthen portfolio performance

Loan loss analysis is an effective way for lending institutions to drive smarter business decisions by identifying loans that have been lost, where they’ve been booked, their key characteristics, and how they’ve performed.

With loan loss analysis, you can gain visibility into: 

• What type of financial institution did that applicant book with (bank, credit union, finance company, etc.)? 
  
• What was the average loan amount, and were others offering more or less? 
  
• What was the estimated interest rate, and how did it compare to yours? 
  
• What was the loan term length? 
  
• What was the average risk score? 

Accessing this information can help your organization validate your lending policies or find out where you can make adjustments to remain competitive in the market and win more business.

Explore state-level and industry level data that banks, credit unions and fintechs can leverage to track the downturn and be correctly positioned for the recovery in this monthly report.