Not all past clients are equal refi opportunities. Learn how AI scoring models identify the highest-value refinance candidates in your database — before your competitors call them.
Ian Eichelberger
Mortgage Broker, NMLS #368612 · Columbus, OH
If you have 400 past clients, you have a gold mine. The problem is finding the gold.
Three factors drive refi opportunity scoring:
Rate Differential: The gap between a client's current rate and today's market rate. A borrower at 7.125% with today's market at 6.12% has a 100+ basis point differential — that's a strong candidate.
Equity Position: Cash-out refi candidates need sufficient equity. The scoring model factors in original loan amount, estimated appreciation, and principal paydown to estimate current LTV.
Loan Age: Borrowers in the first 3-7 years of a 30-year mortgage have paid mostly interest. A refi resets the clock — which matters for the monthly savings calculation.
LoanAtlas assigns each past client a refi score from 0-100:
High-score borrowers don't just appear on a list — they trigger automated outreach sequences. A borrower who scores 85+ gets a personalized email and text within 24 hours of the scan, with their specific savings estimate.
This is the difference between a list and a system.
In a typical 250-client database, expect to find:
At a 10% conversion rate, that's 1-3 additional closings per scan cycle.
LoanAtlas gives you every tool mentioned in this article. 7 founding spots at $247/mo.
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