Personalization in lending starts with payment data

Every lender is being told to personalize. The advice usually starts at origination: collect better data, make smarter credit decisions, and tailor offers to individual borrowers.

But some of the most useful signals about a borrower emerge after the loan is booked, through the payments they make, the ones they miss, and the changes in their behavior over time.

That was a central theme in my conversation with Rachel Castro, Head of Business Banking Partnerships and Strategy at U.S. Bank, and Daniel Ledford, Implementation Consultant at Stripe, during LoanPro’s 2026 Salt Flats Summit. Our discussion explored how lenders can turn payment data into personalized lending experiences.

Key Takeaways

• Few lenders are using data to shape the repayment journey. Most lending data work stops at origination. Lenders that bring cash flow data, account and routing number history, and ability-to-pay models into servicing can build repayment paths that fit each borrower and improve loan performance.
• Payment data reveals more than payment status. Changes in autopay dates, balance checks, and failed transactions can help lenders recognize shifting borrower needs and offer products or payment options that fit.
• Payment defaults often reflect process, not preference. Making multiple payment methods accessible gives borrowers more control over how they manage their loans.
• Failed payments may deserve more than a generic response. Using specific decline and return reasons to guide servicing workflows can make communications more relevant and effective.
• Personalization depends on connected, actionable data. Lenders need modern infrastructure that makes payment information available in real time and connects it to workflows that support better borrower outcomes.

Most personalization advice misses the payments piece

Payments are part of a much larger servicing journey. Payment data can reveal changes in cash flow, emerging financial pressure, and preferences that weren’t apparent at origination or have changed since. Yet many lenders overlook those signals when a borrower is paying on time and the account looks green.

“A lot of people take that data for granted. If payments are going through, everyone’s paying on time and on autopay, you think, ‘They’re green, they’re fine,’ ” said Ledford.

But a green account isn't necessarily an uneventful one. A borrower’s payment behavior can reveal changes worth paying attention to, like a due date that keeps moving, a new bank account on file, or thinner balances when the payment pulls, even before they miss a payment. The opportunity is to connect those signals with other available financial information and use them to shape what happens next.

Borrowers have different needs and preferences, and lenders should give them meaningful choices rather than assume one approach works for everyone. The same principle applies to how borrowers pay.

Why ACH payments still dominate

Across the payment volume moving through LoanPro, roughly 95% runs on ACH, with only about 4% on cards and that last 1% spread across other methods. There is a wide variety of range across customers as well, with one customer collecting 80% of repayments on debit card rails. We hear plenty of interest in alternatives, from digital wallets to real-time payments, yet ACH payments continue to dominate.

Why? Part of the answer is history. ACH is familiar, relatively inexpensive, and already embedded in lending operations. But the other part is process. Often, the payment method a borrower uses is the one the lender promotes, incentivizes, or makes the least friction to choose.

Daniel shared an example of one lender that does roughly $3 billion in servicing each year. Its loan contracts collected borrowers' ACH information upfront, making it the default. The lender had also discovered that collecting debit card information over the phone was convenient for borrowers making one-off payments or paying off a loan.

As the lender began accepting more card payments, card usage grew a little bit without a corresponding increase in fraud. That prompted its leaders to reconsider how they presented payment options and whether the original process was unnecessarily steering borrowers toward ACH payments.

The underlying obstacle was simple: borrowers couldn't write card information on a paper contract. So what looks like a customer preference could actually be a limitation of the process. If a lender wants to offer more choice, it needs workflows that make those options accessible.

Rachel shared how U.S. Bank is proactively launching new options before customers start asking for it. As she put it, “we need to have every payment rail type that customers are going to need.”

She added that the bank is “trying to be ahead of and offer all of the things that we think that they [borrowers] may at some point want, whether it's RTP, FedNow, tokenized deposits, stablecoins, and, still anchor back to ACH, checks, and the ways that you traditionally pay.”

How payments data drives personalization

Payment data shapes personalization from the start. The rails a lender promotes should reflect what it knows about the borrower and where they’re most likely to repay. Once the loan is active, that same data gives lenders a continuous view of borrower behavior.

Consider a borrower who has changed their autopay date three times. On its own, that change might not trigger a conventional risk flag. In context, particularly alongside cashflow data, it could indicate that the borrower is having difficulty managing cash flow.

Or consider a borrower whose expected paycheck doesn’t arrive. A balance check before initiating the payment can catch that, giving the lender a chance to adjust timing or outreach before the payment fails.

These signals give lenders a reason to look more closely and consider whether a different response would be more appropriate. Depending on the borrower's circumstances and the lender's policies, the response might involve adjusting communications, offering a different way to make a payment, or identifying an appropriate product for a changing financial need.

The same principle applies when a payment fails.

A generic decline bucket obscures the information lenders need to respond effectively. An ACH return and a card decline may have different causes, and those causes should inform the next step. Lenders need to know why the payment failed, what the available return or decline information reveals, and how quickly that information can reach the systems responsible for servicing.

Daniel's advice was direct: “Every decline reason shouldn't map to a single email of like, ‘Hey, your payment failed. Call us.’”

A borrower who needs to update payment information may need a different message from someone whose account lacks sufficient funds. When lenders can identify the reason and connect it to an appropriate workflow, they can make the experience more useful for the borrower and more effective for the business. To do that, you need clean, real time data from your processing partner.

What has to be true to act on any of this

Personalization in banking sounds straightforward when we're talking about individual signals. But putting it into practice requires the right infrastructure.

Lenders need clean, connected data. Payment activity, servicing information, and relevant financial signals must be accessible together so the lender can understand what's happening in context.

Information needs to be available quickly. A payment failure discovered days later limits the opportunity to respond in the moment. Real-time data visibility gives lenders a better chance of connecting an event to the right action.

Lenders need workflows that can act on what the data reveals. Collecting information without changing the servicing experience doesn't accomplish much. A modern credit platform needs to support decisions and automate appropriate responses based on what is happening with an individual account.

And personalization should be seamless, not obvious. Rachel described the lender’s role as a trusted advisor: someone who recognizes patterns, understands what a customer might be experiencing, and can help them navigate a difficult moment or take advantage of an opportunity.

That's a standard worth aiming for in lending, too. Borrowers shouldn't have to think about the data behind the experience. They should simply get support that feels relevant to their circumstances.

The foundation is a modern platform that makes payment data available and actionable throughout the servicing journey. With that in place, lenders can move beyond treating every account the same way and start responding to what each borrower's behavior actually tells them.

Watch the session replay to hear more about how payments innovation can help lenders build more personalized borrower experiences.