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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The problem with doing the same thing “faster"

For years, lending organizations have measured technology's value by a simple test: did it get people to log in and complete a task? New dashboards, new buttons, and new workflows all designed to change human behavior just enough to extract a little more efficiency from the same process.

The catch, Welu explains, is that this approach caps out at the limits of human behavior itself. A loan officer forgets to follow up. A call center rep runs out of time in the day. A relationship goes quiet not because anyone did anything wrong, but because relying on people to be perfect and predictable was never a sustainable strategy to begin with.

What breaks when the old ceiling stays in place

Joe used an analogy at the 2026 HousingWire AI Summit to capture the stakes: a farmer who just got a bigger, faster horse looks to the neighbor’s field and watches them ride by on a tractor. Incremental improvements, like faster horses, were the best option for decades. That's not the case anymore.

The risk isn't hypothetical. We still see lenders asking AI to slightly improve an existing workflow, rather than asking what their workflow should look like with AI built in from the start. And the lenders who are still chasing incremental improvements will find themselves outpaced by competitors who were willing to embrace a new mindset, a new strategy, and new era.  

Joe also highlighted that speed and speed alone will not set you apart. Context will be the critical differentiator in an AI-enabled world. Being the first one to engage a borrower is great, but only if you actually have something to talk about. Historically, a legacy database only knew what a person remembered to type into it. If that information wasn't captured, the system, and the loan officer, wouldn't be able to use it for the next conversation.

Context is king, and the mindset shift that gets you there

This is where Joe took the conversation from diagnosis to direction. Total Expert's Customer IQ continuously aggregates zero-, first-, and third-party data to create a complete financial profile and interaction history for every customer. This provides lending teams with the context they need at the exact moment it matters, whether that's to a loan officer having a conversation or an AI agent handling a task automatically.  

To put things in a perspective that everyone can understand, Joe drew a comparison to how streaming platforms already personalize recommendations based on what the user has watched or listened to previously—i.e., context. When that context is missing, it's obvious and often frustrating. He argues borrowers feel that same disconnect when their lender's outreach doesn't reflect where they actually are in their financial journey.

This level of change doesn't happen without friction. There will be individuals, teams, and even entire organizations that resist this shift. But leaders have to be clear-eyed about the realities of how our industry is evolving and, more importantly, how consumer expectations are driving that evolution.  

The reframe Joe’s pushing lenders toward is to stop measuring success by tasks completed, and start measuring it by the lifetime value of the customer relationship. He calls this “turning relationships into appreciating assets," where organizations never lose a customer and continually find new ways to add value to that relationship over time, rather than treating every interaction as a standalone transaction.

The takeaway

AI doesn't create value on its own. It creates value when it's grounded in real customer context, embedded in the actual workflow, and pointed at a bigger goal than getting a task done faster. For lenders willing to rethink the engine itself, Welu says the payoff isn't incremental. It's the same seismic shift that farmers experienced when they realized that even the slowest tractor was more efficient than the fastest horse.

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