At A Glance
With only one in three mortgage shoppers who submit a hard credit inquiry ultimately closing, lenders have an opportunity to rethink how they identify and engage prospective borrowers. This post explores why credit scores alone may not provide a complete picture of borrower readiness and how broader financial insights can help lenders identify consumers who may be more prepared to move forward, prioritize engagement, and improve mortgage conversion.Only one in three mortgage shoppers who submit a hard credit inquiry makes it to the closing table, according to Experian’s 2026 State of the U.S. Housing Market Report. For lenders, the opportunity isn’t simply generating more leads. It’s identifying borrowers who may be more prepared to move forward.
A credit score can tell you a lot about a borrower, but it can’t tell you everything. Two consumers with similar scores may have very different financial behaviors and levels of readiness. Looking beyond traditional credit data can give lenders a more complete view of borrower readiness and help them focus engagement where there may be a stronger opportunity for conversion.
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Frequently Asked Questions
What can lenders learn beyond a credit score?
A credit score is one part of a borrower’s financial picture. Signals such as rental payment history, income trends, and spending behavior can provide additional context, helping lenders better understand borrower profiles and identify consumers who may be more prepared to move forward.
Why is finding the right borrowers important for mortgage conversion?
Not every mortgage shopper has the same financial profile or level of readiness. A more complete view of borrower data can help lenders distinguish between consumer profiles and focus engagement on borrowers who may have a stronger likelihood of reaching the closing table.
How can predictive attributes help lenders identify borrowers?
Predictive attributes can reveal patterns in consumer behavior that may not be apparent from traditional credit information alone. Experian’s 2026 predictive analytics study found that using five predictive attributes was associated with an approximately 50%-60% lift in conversions, while using 10 attributes was associated with an approximately 70%-100% lift.
Can borrower signals vary by mortgage segment?
Yes. Different borrower segments can show different conversion patterns. Experian research found conversion lifts among first-time homebuyers, repeat buyers, home equity borrowers, and refinance applicants, reinforcing the value of applying predictive insights across different areas of the mortgage market.
Why should lenders look beyond the credit score?
Looking beyond the credit score can provide additional context about a consumer’s financial behavior and readiness. That broader view can help lenders identify the right borrowers earlier and engage them with greater relevance, rather than simply increasing lead volume.
