Many consumers are actively looking to purchase homes, but according to Experian’s 2026 State of the U.S. Housing Market Report, only one in three mortgage shoppers who submit a hard credit inquiry ever make it to the closing table. This is not a pipeline problem—it is a conversion problem that signals friction within the mortgage journey.
Improving mortgage conversion requires a shift from volume-based acquisition to precision-based borrower understanding. Lenders should identify true purchase readiness earlier and support borrowers with clearer, data-driven financial guidance throughout the journey. Yet many organizations continue to respond by increasing lead volume, effectively adding more pressure to a funnel that is already leaking.
For lenders, the core challenge is not acquiring additional mortgage shoppers. It is helping the borrowers already in process gain the clarity and confidence needed to move forward with a home purchase.
Affordability pressures drive borrower uncertainty and drop-off
When a borrower submits a hard credit pull, they are not always purchase-ready. In many cases, they are still determining whether homeownership is financially feasible. That uncertainty becomes more pronounced as borrowers confront the full complexity of the decision, particularly in today’s mixed housing market conditions.
Home prices in 2026 are moderating as price growth cools, but median existing-home prices are still hovering near $400,000 as of February, according to the National Association of Realtors. This marks the 32nd consecutive month of year-over-year increases. Mortgage rates have also started to moderate, but the recent conflict in Iran pushed the average 30-year fixed rate up to 6.38% by late March, up from 5.98% just four weeks earlier, Freddie Mac reported.
Affordability isn’t just about the home price and interest rate. From 2021 to 2025, U.S. property taxes rose by 15.2%, while other escrow costs, primarily homeowners’ insurance, surged by 67.4% nationwide, according to the 2026 State of the U.S. Housing Market Report. Then factor in HOA fees, private mortgage insurance premiums, and closing costs, along with expenses like maintenance, utilities, and repairs. At that point, borrowers often realize that early affordability estimates did not reflect the full cost of homeownership.
The full cost of homeownership is more nuanced than many borrowers anticipate. By the time that gap becomes clear, many opt to exit the process rather than proceed.
The industry may be focusing on the wrong success metrics
The industry may be placing too much emphasis on application volume, pull-through rates, and funded loans. While improvements in these metrics are often celebrated, they do not fully reflect conversion performance. Conversion, the rate at which interested borrowers actually close, is often treated as an afterthought. Loan officers might pass it off as a problem for underwriting or operations to own, but that thinking is costing lenders time and money when those customers bow out.
Let’s reframe our approach and treat mortgage borrower conversion as a front-end problem with a data solution.
The lenders winning right now aren’t necessarily flush with leads. They’re the ones that understand which leads they can realistically close. They know precisely why because there’s data and insights to back them up.
This is where your investment in customer intelligence can be a gold mine. You move beyond traditional scores and debt-to-income ratios to understand a borrower’s entire financial life: their savings velocity, rent payment
history, spending patterns relative to their income, and their behavior throughout the mortgage application process.
A borrower who visits a lender’s rate page three times a week, uses an affordability calculator, and then submits a prequalification inquiry is sending a very different readiness signal than one who fills out a form after clicking a display ad online. Treating them the same way is a costly mistake.
Data precision is the new competitive differentiator
With the passage of the Homebuyers Privacy Protection Act, credit bureaus are now restricted from selling consumer credit inquiry and contact data to third parties (with limited exceptions) after a hard pull is performed. The new legislation has dramatically changed the rules of engagement with borrowers. Lenders who are still relying on this strategy won’t be as successful.
Instead, focus on interpreting homebuyer intent signals before the hard pull ever happens. This saves everyone time and frustration. In a recent Experian survey, 51% of renters said that having more clarity around what they could qualify for would be the most helpful step in their homeownership journey.
Alternative data can be a game-changer here, too. For instance, consider a borrower who has paid rent on time for 36 straight months and whose income has grown year-over-year while maintaining conservative spending habits. That borrower looks very different from someone with the same credit score but has several late rent payments and a high debt-to-income ratio, suggesting a lack of financial discipline. Both customers might show up the same way in a traditional credit model, but only one of them is likely to close.
The lenders with data-driven agility to produce these insights, which AI has helped scale and deliver at unprecedented speed, will easily beat those who don’t. Better data leads to better targeting, which leads to better-matched borrowers who convert at higher rates.
What the industry should do next
Improving mortgage conversion requires disciplined focus on borrower readiness and precision in execution. Key areas to focus on include:
Audit your mortgage borrower drop-off points methodically
Where exactly are borrowers leaving your process? After prequalification? After rate disclosure? After the application and delivery of the loan estimate? Each exit point tells you something specific you can improve upon.
Invest in richer profiling before outreach
Use alternative data such as rental history, income trends, and bank transaction patterns to score homebuyer readiness before spending money to reach out. Not all inquiries are equal, and your targeting strategy should reflect that.
Build mortgage prequalification tools that reflect real-world affordability
Total payment transparency, localized cost estimates (especially for taxes and insurance), and scenario modeling are key retention tools that keep borrowers engaged long enough to become borrowers who close.
Train your loan officers to recognize and respond to behavior signals
The borrower who’s been shopping for six months and just submitted a hard inquiry needs a different conversation than the first-time homebuyer who just discovered they can qualify. Data should inform these conversations.
Tighten your feedback loop with title and settlement partners
The professionals who sit at the closing table see patterns that lenders might miss. Where are deals falling apart? What surprises keep showing up? That intelligence, incorporated back into your origination process, is critical to convert future mortgage borrowers into successful home closings.
Go forth and convert
Lenders that prioritize conversion optimization will outperform competitors. Growth comes less from lead volume and more from sharper interpretation of homebuyer signals. The data, tools, and alternative insights already exist for lenders willing to expand their view.
The lenders who make the shift to build deeper borrower insights into every stage of the funnel won’t just close more loans. They’ll close the right loans with borrowers who are more confident, better prepared, and more likely to generate future referrals.
To learn more about the data‑driven strategies lenders need in 2026 and beyond, download Experian’s 2026 State of the U.S. Housing Market Report.
Product Manager – Housing Team, Experian
Royce Chang is a Product Manager at Experian, where he supports the development of housing and mortgage prospecting solutions. He manages Experian’s property data asset and API, delivering reliable, scalable access that powers innovative tools for lenders and real estate professionals to identify high-potential prospects. Before joining Experian, Royce served as a Sales Engineer and Technical Product Manager at ConsumerDirect, a credit reseller specializing in tri-bureau credit monitoring, credit education, and privacy solutions for the credit repair and mortgage industries.
