Mortgage

Smaller Lenders, Bigger Impact: Using Data to Deepen Personal Relationships

5 mins read
5 min read
November 10, 2025
By
Mike Waterston

Forming authentic relationships has always been the competitive edge for smaller lenders. And as the FinServ world has become more tech-driven and digital-first, credit unions and community banks have only leaned further into this powerful differentiator. But we’re seeing an interesting trend among some of the most successful small- to mid-market lenders: They’re recognizing that tech-enabled engagement is no longer mutually exclusive to genuine human connections. They’ve created powerful data-driven strategies that make it easier for them to build good, old-fashioned personal relationships.

These forward-thinking lenders are realizing that their smaller size is actually an advantage in implementing “big data” tools and strategies. We’re seeing credit unions and community banks deploy Total Expert Customer Intelligence in a matter of weeks and start realizing value in as little as 90 days, building a loyalty- and revenue-generating engine that fuels itself.

But how are they doing it in a financial landscape where consumers have more choices and competitors aren’t just in the building across the street?

Even close borrower relationships are growing more complex

Small- to mid-market lenders have been historically hesitant to embrace tech-powered, data-driven strategies because there was a concern that it would dehumanize their connections with borrowers. Which is understandable as community banks and credit unions have built their brands and their reputations on their ability to forge honest, transparent relationships—getting to know their customers and members in ways bigger lenders could only dream of.

But even those 1:1 borrower connections are now digital-first, multi-channel relationships. Those increasingly complex relationships involve exponentially more data, information, preferences, and intent signals. A common concern we hear among smaller lenders runs along the lines of, “We don’t have enough data for a ‘Big Data’ strategy.” But the truth is that even the smallest credit unions and community banks are swimming (and sometimes drowning) in a pool of tremendously valuable data.

Borrowers expect to feel “known” across every channel; they want the same feeling of 1:1 personalization at every touchpoint. And it’s becoming a genuine challenge for smaller lenders to juggle all the information and orchestrate these hyper-personalized omnichannel experiences.

Using Customer Intelligence + marketing automation to enhance personal borrower relationships

More and more credit unions and community banks are turning to data-driven, tech-enabled strategies to complement—not replace—their personal relationships with borrowers. We’ve seen smaller lenders have tremendous success with Customer Intelligence and our dynamic, automated Journeys because they:

  • Surface intent signals in real time: Customer Intelligence surfaces critical intent signals as they happen, giving LOs the superpower of knowing what borrowers and homeowners need when they need it.
  • Highlight life events as critical engagement opportunities: Customer Intelligence helps smaller lenders go beyond traditional intent signals, recognizing key life events or milestones (graduating, getting married, starting a family, changing careers, retiring, etc.) that signal shifting financial goals and new borrowing needs. This gives your LOs natural opportunities to reach out with helpful, personalized guidance.
  • Enable personalized outreach at scale and speed: Credit unions and community banks are using Total Expert Journeys and other automation capabilities to help their LOs stay on top of all of these valuable Customer Intelligence signals. Built-in triggers and automated Journeys enable LOs to magically engage at just the right time—across their full roster of customers and prospects.

Smaller lenders are leveraging Total Expert’s digital toolset to help them show up for borrowers when it matters most—across every and all channels—to give them the feeling they want most: a trusted financial advisor who understands their financial needs and goals, providing proactive support and guidance to help deliver the best possible outcome.

Measuring time-to-value in weeks, not years

Another major misconception among credit unions and community banks is that they don’t have the resources to manage this kind of automated, Customer Intelligence-powered strategy.  

It’s true that smaller lenders likely don’t have large internal teams of data analysts (if any). But Total Expert has led the charge in democratizing access to leading-edge data analytics tools and capabilities. We’ve designed Customer Intelligence and Journeys to be easy to deploy and quick and intuitive to set up.

The smaller size of most credit unions and community banks works to their advantage here. We consistently see these customers go live and start seeing measurable value with Customer Intelligence in as little as eight weeks because they’re able to implement, build, test, and launch faster than larger lenders that have more layers of reviews and approvals.

Smaller lenders driving big value: Customer Intelligence case studies

Dart Bank

  • Customer Intelligence in action: Dart Bank uses Customer Intelligence to surface life events and intent signals in real time, enabling LOs to engage members with proactive, personalized support across channels.
  • Driving measurable value: In just six months, Dart Bank drove an additional $48 million in funded loans—all by connecting with borrowers at the right moments of opportunity.

Tucson Federal Credit Union (TFCU)

  • Customer Intelligence in action: TFCU adopted Total Expert Journeys + Customer Intelligence to automate workflows, unify member data, and personalize communications; reducing manual work (e.g., uploading data daily) and streamlining email campaigns.
  • Driving measurable value: Open rates now exceed industry benchmarks (25–26%), and click‐through rates have improved. Campaign build times dropped from weeks to minutes.

Horicon Bank

  • Customer Intelligence in action: Horicon created a Data Insights department, deployed Total Expert for centralized CRM/marketing automation, enabling more intentional targeting and personalized communications, letting staff have visibility into customer behavior across branches and channels.
  • Driving measurable value: The bank is now orchestrating timely, personalized borrower outreach at scale—transforming digital signals into relationship-building opportunities that strengthen loyalty.

Tech- and data-driven strategies have proven over and over that they have the ability to help deepen personal relationships for smaller credit unions and community banks. Our customers are proving that size doesn’t have to be a barrier. It can be an advantage that allows organizations to move quickly, leverage powerful tools like Customer Intelligence, and deliver authentic, personalized experiences at scale.

Learn more about Customer Intelligence and how it can drive consistent growth by enhancing your member and customer relationships.

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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.”

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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.

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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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