Banking

How Data Allows Banks To Access Hundreds of New Mortgages

5 mins read
July 14, 2022
By
Megan Burr

Providing mortgages to borrowers and depositors might seem like the path of least resistance for banks and credit unions to win more mortgages. After all, roughly 70% of borrowers said they applied for a mortgage with an institution with which they already had a relationship, according to research by Cornerstone Advisors. Unfortunately, with consumers utilizing upwards of 30 financial companies, winning new mortgages from depositors is anything but a done deal.

In a market where interest rates and origination volume compel lenders to strike all the weaknesses from their lead-generation and origination processes, banks and credit unions need to hone their ability to serve every possible customer or member who needs a mortgage, or equity financing, this year.

What Data Can Tell You

Lenders need to identify and engage borrowers seeking cash-out refinances, to purchase a new home, and even the rare, refinance. Before, finding these customers was a passive, waiting game where the borrower had to come to you. Now, lenders can proactively engage customers signaling – through their data – that they need your help. Here are three ways to ensure you’re their provider of choice:

1. Credit Pulls

What if you knew when another lender pulls credit for a mortgage on someone in your database?

Many people don’t immediately think of a lender when they want to sell or buy a home. They think of contacting a realtor first. The realtor then, in turn, refers to lenders they trust. If you were the lender that provided the customer’s last loan, you’re usually out. You wouldn’t know the customer needs credit unless they literally told a loan officer or applied on your website.

Catching a mortgage credit pull solves this problem because, fortunately for lenders, homebuyers often look at mortgage payments to determine their price range. When they want to know how much house they can afford, they start shopping lenders. Especially during the recent sellers’ market, that means getting preapproved, which almost always requires a hard pull on their credit.

New technology offers alerts like this.Before, a lender would learn a customer was leaving when they receive payoff funds – too late to do anything about it – and that assumes they’re servicing the loan. Now they can get back in the running.

2. Homes Listed for Sale

What if your loan officers knew when a past borrower listed their home for sale?

When a borrower lists their home, it appears on the Multiple Listing Services. Lenders today are catching this signal for a possible purchase mortgage – the most valuable loan type for lenders’ franchise value.

If a past borrower went with a new realtor, or if the realtor referred to a different lender, your loan officers now have a shot at winning the borrower’s next loan.

With this type of data-based engagement, technology allows loan officers to build stronger purchase businesses – with origination volumes more secure from disruptions due to changes in realtor referral relationships, from borrowers who change realtors, and even from homeowners who decide not to use an agent.

3. Equity and Rate

What if you knew which borrowers have meaningful equity in their homes, or who may still benefit from a rate refinance?

Borrowers have a record $11 trillion in “tappable” equity that they could use for a cash-out refinance or home equity line of credit (HELOCs).

Lenders should plan to engage customers who might use equity because consumers need education on their options now; they know their window is closing to use equity – for renovations, debt consolidation, or surprise expenses – as rates cause home equity to slow and eventually decline.  

For consumers who’ve just purchased a home, and even for those who refinanced last year, home equity is both a revenue and a relationship opportunity for banks and credit unions. For example, the National Association of Home Builders found that customers are over 2.5 times more likely to make large purchases within a year of buying a new home — for items like appliances, furniture, and home improvements —compared to consumers who did not.

Lenders must engage these homeowners or risk allowing another provider – potentially one better at cross-selling – to them with large purchases.  

Doing the Math

Hundreds of mortgage originations await in consumers’ banking data. Using that data to serve pressing financial needs will contribute to the performance of profit leaders in mortgage and banking in the years ahead.

For every 50,000 contacts monitored in a mortgage or banking database, lenders discover nearly 200 additional mortgages per year, according to lender data gathered by Total Expert. That level of increase in loan originations can translate to nearly $1 million in revenue growth — a return on investment of 12 times the cost of the technology.

Lenders should also consider how technology reduces overhead, such as marketing costs. Mortgage leads cost $800 to $1,200 per loan. For 200 new originations acquired by a lending technology saves those costs, which reach $160,000 on the low end. When that savings scales across a larger contact database – especially one that combines a bank’s mortgage and retail customers – revenue growth becomes highly efficient and translates to much more profitability at the bottom line.

With such significant opportunities in originations and profit growth, financial institutions have a clear incentive to solve their retention challenges using new data-driven technology. However, even bigger upsides await in relationships. When customers see their financial institution working to educate them and to provide options that serve their situation, it creates a deeper connection in which the customer turns to their bank for every financial need throughout their lifetime.

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Smart routing, contact-centric pipeline management, Journey automation, and real-time pipeline visibility have always been the core of Lead Management. But top-performing originators and strategic sales leaders told us they needed more if they were going to stay one step ahead in the current market. They asked; we delivered.  

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Until now, keeping lead stages accurate required manual effort. When a loan moved forward in the LOS, someone had to remember to update the record in Total Expert. That gap between what was happening in the LOS and what the pipeline showed was friction nobody needed—and an opportunity to create confusion among lending teams.

Now, those updates are fully automated. When a loan status changes in your connected LOS, the corresponding lead stage advances in Total Expert. No more manual updates, no more room for error, and your pipeline view stays accurate at all times, so your team spends less time syncing data and more time working deals.

Tap into Lead Management from anywhere, on any device

Lead Management is now available in the Total Expert Mobile App!

Originators can view their leads, create new ones, and log notes and outcomes in Total Expert directly from their phone. Whether they're at a real estate agent’s office, a networking event, or just away from their desk, they have full access to the information they need to follow up fast. Speed to lead is critical, and Total Expert is here to help you outpace the competition.

Journeys that don't make you backtrack

As borrowers progress through automated Journey workflows (opening emails, responding to texts, talking to AI Sales Assistants, and completing key actions), your pipeline can advance right along with them. With a few tweaks in Journey Builder, you can update lead stages automatically to reduce manual entry and increase pipeline data accuracy.

Whose lead is it anyway?

One of the most disruptive things a lead routing system can do is reassign a lead that has already engaged with another originator. But if an owned contact re-enters the system with a different number or email, they might get sent back into the distribution queue instead of connected with the last originator they engaged with.

Lead Management significantly reduces that risk. Admins can configure routing policies to bypass distribution entirely when an incoming lead matches a contact already owned by an originator. That way, relationships stay intact, and your team avoids those awkward conversations about who actually owns the opportunity.

Cleaner data, better integrations, more doing what you do best

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Fully loaded Lead Management

Total Expert Lead Management is built to help turn more opportunities into revenue by assigning leads faster, automating engagements and follow-ups, and giving sales leaders better visibility into what’s working and where the gaps are.  

Ready to see it in action? Schedule a demo or reach out to your Customer Success Manager for more info!

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Joe Welu on Agentic AI, Contextual Data, and Earning Customers for Life

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**This content was originally published on Housingwire.com**

In this conversation with HousingWire’s Allison LaForgia, Total Expert Founder & CEO Joe Welu outlined how the company’s evolution to Customer IQ is reshaping the way lenders engage borrowers and drive growth.

"We just announced Customer IQ as this next evolution of our platform,” Welu said. “Taking what we built with Customer Intelligence . . . and we’ve reimagined it for the AI revolution, what we call this 'agentic lending opportunity.'"

At the core of that evolution is a system designed to unify and interpret data in real time. “Customer IQ aggregates all of the different data points and interprets what those data points mean . . . what’s going on in my customer’s life at this moment that I can connect with them on and provide value to them,” he explained.

To bring that concept into focus, Welu pointed to a common borrower scenario: “Maybe they had some medical issues, maybe they had some unnecessary expenses, but it’s clear from what’s happening on their credit report that they have a spiking, revolving debt. Customer IQ knows that you’ve got three, four hundred thousand in equity in your home.

From there, that insight doesn’t sit idle. It becomes actionable through AI-driven engagement. “Customer IQ brings all that together, and then it puts it into our agentic layer, which ultimately is AI agents that can go out and have a conversation, send a text, a voice call, and then bring the loan officer into the loop.

The result is a clear shift from traditional workflows. “If you think about a loan officer historically, they would be going through their database at random… [now] the AI agent will bring them into the loop,” Welu said.

When it comes to measurable impact, Welu didn’t hesitate. “It’s hard to overstate how extraordinary some of the results that we’re seeing are,” he said. “We’ve seen people increase the applications… three to four times more loan applications than if they just use the humans.

That scale is driven by a simple shift in capacity.  “You’re limited on how many of those people you can talk to… now I can go out, talk to thousands and thousands of people… and put time on the calendar for that loan officer.”

In practice, that translates directly into day-to-day execution.“We had a top producer… they had 26 appointments over two days… with people that are ready to talk about how you can help them.

But the opportunity extends beyond volume alone. Welu emphasized a broader strategic shift toward deeper customer relationships. “The most profitable way to grow their organization and build a sustainable lender in 2026 and beyond, is to go really deep with your customers, get loyalty…the limiting factor to doing that was ultimately, day-to-day human behavior,” he said.

AI changes that equation. “If you can just augment their skills… with the most brilliant, intelligent assistant you’ve ever imagined, it’s a recipe that opens up this new world of possibilities.

Central to that “recipe” is context. “It’s that system of context that can aggregate everything… interpret it, prioritize it, and then ultimately feed that into my human loan officers and the AI agents,” Welu said.

That precision leads directly to better outcomes. “ You end up with a customer that feels like you deeply understand them,” he noted.

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Expert Partner Network

The Reputation Playbook for Lenders Who Want to Grow in the AI Era

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Meet the Partner: Birdeye

Birdeye is the #1 Agentic Marketing Platform for multi-location brands. Financial institutions use Birdeye to manage their online presence, collect and respond to customer reviews, monitor local listings, and turn customer feedback into actionable growth intelligence. Birdeye’s platform unifies the marketing stack to help lenders, banks, and credit unions build trust at scale—branch by branch, advisor by advisor—so every part of the organization is earning customer confidence before, during, and after the relationship begins.

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For most financial institutions, the customer relationship begins when someone fills out an application, walks into a branch, or picks up the phone. But that’s not when your customer’s journey begins.

Long before a borrower reaches out, they’ve already started forming an opinion about you, your competitors, realtors, and the mortgage industry in general. They’ve searched for lenders in their area, read reviews, seen the news, and talked to family, friends, and coworkers. They’ve probably even asked Claude or ChatGPT to compare rates from local banks and credit unions. They’ve scanned branch listings, looked at star ratings, and made a shortlist of their top choices. They’ve done a lot. And all without ever speaking to a single person on your team.

That’s the new front door for financial services. And for too many institutions, that front door is invisible, inconsistent, or completely closed. It’s a huge problem that Total Expert and Birdeye are working together to solve.

The shift happening right now in borrower discovery

Borrower behavior has changed in ways that most financial institutions haven’t fully caught up with yet. For a long time, reputations in financial services were built through branch relationships, local presence, referrals, and personal trust. Those things still matter but, today, trust is often built or lost before a borrower ever speaks to a loan officer, banker, or advisor.

A borrower may first meet your brand through a Google search, an online review, a branch listing, a social post, or an AI-generated answer. They may ask AI platforms which lender is best for first-time homebuyers, which credit union has the best service, or which local bank is easiest to work with. In that moment, your reputation isn’t just what your brand says. It’s what the digital ecosystem can find, understand, and validate about you.

The data backs this up. Birdeye’s State of Online Reviews 2026 report found that review volume grew 30.7% year over year in 2025, with Google capturing nearly 80% of all reviews. Meanwhile, McKinsey describes AI-powered search as the “new front door to the internet,” with research showing that half of consumers already use AI-powered search and that AI search could influence $750 billion in revenue by 2028.

For financial institutions, this matters because trust is a product you can’t put a price on. People are making decisions about homes, savings, credit, and their financial future. If your branch information is inaccurate, your reviews are negative or outdated, or customer feedback goes unanswered; you may lose the borrower before the relationship even starts.

What Birdeye does and why it matters for financial institutions

Birdeye replaces fragmented point tools with one full-cycle platform. Instead of forcing small teams to manually update data, custom AI agents execute marketing playbooks autonomously across hundreds of locations. For financial institutions, it helps manage the full digital presence of every branch, advisor, and location—at scale.

In practical terms, that means:

  • Keeping branch and location data accurate and consistent across every major listing platform and search engine
  • Collecting customer feedback and reviews at key moments in the borrower journey
  • Monitoring and responding to reviews across Google and other platforms—quickly and at scale
  • Surfacing customer experience signals by branch, loan officer, product line, or market so teams can identify where trust is strong and where it’s breaking down
  • Building the content, consistency, and credibility signals that AI-driven answer engines use to recommend businesses to consumers

Birdeye’s State of AI Search 2026 report found that in an analysis of ChatGPT, Gemini, and Perplexity, 80% of brands were cited at least once in AI-generated answers—but only 15% held the top citation position with their own owned domain. AI search rewards clarity, structure, and consistency. The financial institutions that win in AI-driven discovery will be the ones with the most trusted, complete, and credible local footprint.

That’s exactly what Birdeye is built to create.

How Total Expert and Birdeye work together

Most financial institutions don’t have a data problem. They have a connection problem.

Customer signals are everywhere: CRM records, reviews, surveys, branch interactions, loan officer conversations, and servicing feedback. The issue is that these signals often sit in separate systems. So, by the time a team sees the pattern, the moment to act has already passed.

Total Expert helps financial institutions manage customer engagement and relationship journeys. Birdeye helps them capture feedback, manage reputation, improve local visibility, and turn customer signals into action. Together, they connect the relationship layer with the reputation and experience layer—so the intelligence flows in both directions.

Here’s how the integration works in practice:

  • Lenders can request feedback from borrowers at important moments in the relationship journey—after an application, closing, branch visit, or servicing interaction
  • Survey responses and customer experience scores from Birdeye can flow back into Total Expert, giving relationship teams visibility into how borrowers are feeling inside the systems they already use every day
  • A positive review can strengthen local visibility and reinforce trust in that branch or advisor’s digital presence
  • A negative review or recurring complaint can trigger service recovery or escalation—before it becomes a bigger problem
  • Patterns in feedback data can become operational priorities, helping regional or branch leaders identify where the experience is breaking down and course-correct quickly

This is the shift financial institutions need to make: feedback shouldn’t sit in a dashboard. It should move into the daily workflow of the business.

From reactive to proactive: the future of experience-driven growth

The traditional model of reputation management was reactive. A customer leaves a review. Someone responds. A report gets created. Maybe a trend reaches leadership weeks later.

That model is too slow for how borrowers make decisions today.

PwC’s 2025 Customer Experience Survey found that 52% of consumers stopped using or buying from a brand after a bad product or service experience, and 29% stopped because of poor customer experience online or in person. Experience isn’t a soft metric. It directly affects loyalty and growth.

Together, Total Expert and Birdeye give financial institutions the tools to move earlier and act faster. AI can help teams listen at scale—bringing together signals from reviews, surveys, social channels, listings, and CRM systems. It can help teams act faster by identifying urgent issues, drafting responses, routing follow-ups, and giving branch and regional leaders clear next steps. And it can help leaders see what’s working: which branches are earning the strongest trust, which loan officers are creating the best borrower experience, and which themes are driving referrals and conversion.

This is where reputation management becomes something bigger: experience-driven growth.

Accessible through the Expert Partner Network

For Total Expert customers, accessing Birdeye is straightforward through the Expert Partner Network—the same ecosystem where lenders can access a range of integrated tools and services designed to support every stage of the borrower journey.

Instead of standing up a new workflow or managing a separate vendor relationship, Birdeye’s capabilities become part of how your team already operates. The feedback loop between Birdeye and Total Expert means your relationship data gets smarter over time, your team sees the signals they need in the right context, and your borrowers experience a more consistent, responsive institution at every touchpoint.

The lenders who win will earn trust before the first conversation

Winning in today’s market isn’t just about having the best rates or the most loan products. It’s about being the institution borrowers find, trust, and choose—often before they ever pick up the phone.

The financial institutions that get ahead will be the ones treating reputation as an operating signal rather than a marketing metric. They’ll use customer feedback as real-time intelligence. They’ll build the kind of consistent, trusted digital presence that earns borrowers in a world where AI is increasingly answering the question, “Who should I work with?”

That’s what Total Expert and Birdeye make possible—together.

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