Alternative Credit Data is the Key to Segmenting Auto Risk

Traditional data alone may not be enough to underwrite auto loans with confidence. Adding alternative credit data allowed one lender to reduce risk as much as 40 percent in a recent study.

When combined, the data clearly shows auto lenders where they can expand their approval criteria with the least risk.

Take the guesswork out of your underwriting by using all of the data available on your applicants. Download the case study to see how the right data combinations are working for other lenders.