Lending

Prioritizing Lifetime Loyalty: Thinking Beyond the Next Quarter

5 mins read
November 11, 2024
By
Mike Waterston

Leaders of banks, credit unions, and other financial services organizations have been on a roller coaster since 2018. Trying to keep up with the predictions and the conversations about what will happen with rates could leave you with whiplash. And yet, according to Deloitte, the top challenge for financial institutions in 2025 will be adapting to what it calls a “low-growth, low-rate” environment, where a mix of slower consumer spending, higher unemployment, and lingering geopolitical and regulatory uncertainties keep us teetering on the edge of a recession that’s been threatening the last three years.

But leaders need to resist rash reactions to these anxieties because, as we’ve said before, financial institutions can’t cut their way to growth. Those that pull back too strongly on investing in innovation will quickly damage customer experience and hurt long-term loyalty—and won’t be ready to capture opportunities when conditions do begin to turn around.

Success in 2025 depends on thinking beyond the next quarter. Financial institutions need to build enterprise-level strategies that position their businesses for long-term success.

So, what does that long-term, enterprise-level strategy look like?

How we got here: Boom times shifted the focus from relationships to transactions

Think back to the five years leading up to the start of the pandemic: Things were good. Many financial institutions saw such high business volume that they were just trying to get the transactions done. Strategies became ad hoc and short-term—making quick hires to throw people at the problem and/or piling on point-solution products that promise to solve specific issues.

We can look past the pandemic period of 2020-2021 as a (hopefully) once-in-a-century anomaly. But when rates started increasing in 2022 and the economy slowed down, the transactional focus of many financial institutions led to some knee-jerk reactions: cutting costs, cutting staff, and cutting vendor expenses.

The economy proved surprisingly resilient, holding off the recession that was forecast in 2022 and 2023. Some financial institutions saw volume bounce back—forcing them to quickly add staff and develop ad hoc strategies to keep up.

Today, we’re back to worrying about a slowdown. We’re seeing major banks worldwide announce significant job cuts, with Citigroup, Wells Fargo, and Goldman Sachs all making huge layoffs.

What smart financial institutions do differently: invest in a long-term growth strategy

The most successful financial institutions over the last several years (and, more broadly, the most successful businesses across all sectors) share a common strategy: They didn’t enact massive cuts. In fact, many invested more, doubling down on building the best tech stack and developing extremely efficient processes.

There are two outcomes of this double-down strategy:

    1. Leading financial institutions remain leaders in delivering best-in-class customer experience. After all, with revenue already down, no business wants to lose customers. And with FinTech disruptors constantly innovating, if you’re not keeping up, you’re falling behind.
    2. Leading financial institutions are able to build the scalable infrastructure they need to capture opportunities at speed. So, when the economy turns back around, they’ll be instantly ready to handle the increased volume—without having to add incremental costs by throwing staff at the problem.

Case study: Lake Michigan Credit Union maintains mortgage purchase volume through high-rate years

A great example of this is Lake Michigan Credit Union: As rates rose over the last two and a half years, this credit union’s mortgage volumes stayed far higher than most.

Why? Because when the refi boom occurred back in 2020-2021, Lake Michigan CU stayed the course on its overall strategy of balancing purchase and refi business. They didn’t over-index on refi, so they were able to stay consistent through the down economy.

Moreover, they continued to evolve and advance their tech stack. Bet on them to be at the front of the line to capture volume when it returns.

Learn more in our case study with Lake Michigan Credit Union >

Three pillars of a long-term strategy

How can financial institution leaders take a long view on positioning themselves for success when the economy turns around? Here are three key pillars of a long-term strategy:

1. Building an enterprise-wide data strategy

Financial institutions generally have three main pools of data: accounting, marketing, and IT. These data pools are typically not well integrated—and short-term strategies tend to only reinforce those data silos.

To effectively leverage data to interact and prospect, financial institutions need to develop an enterprise-wide data strategy that integrates all their data to unlock new insights and drive better outcomes. The benefits of consolidated data management will almost inevitably come in the form of better marketing ROI, improved customer interactions, and even increased profitability.

Today, we’re seeing more and more financial institutions hiring consultants to help them design this kind of overarching data strategy—delineating how data will be aggregated and integrated. A comprehensive data strategy will also set data governance policies to ensure data is cleaned and protected—and define how compliance teams handle data to ensure sensitive data is locked down properly.

2. Reducing friction points in CX (and EX)

Leading financial institutions are doubling down on tech investments, particularly around reducing friction points in their customer experiences (CX) and employee experiences (EX). Building a tech stack that works seamlessly together often means consolidation. Following an analysis, the financial institution will work to remove duplicative or point products and replace them with widely adopted, comprehensive platforms.

For customers, that means delivering omnichannel, predictive, and hyper-personalized experiences. For employees, it means connecting data silos and making it easy for them to get the information and workflows they need to be productive.

3. Enhancing internal training & onboarding

The short-term, transactional approach treats staff as fungible resources: When volume goes down, financial institutions lay off employees. Because when volume comes back, it seems easy to just hire additional people. This approach overlooks the reality that the value of employees largely depends on their experience.

Moreover, training is the only shortcut to experience. A smart, long-term strategy focuses on maximizing the value of a financial institution’s human resources. Building strong internal processes and training programs will ensure employees are both able to execute well within your environment and enable you to more efficiently and effectively onboard new staff if you need to add people to accommodate volume.

Double down on relationships & build long-term loyalty

Right now, we’re seeing a sharp divide in how financial institutions are reacting to slowing growth amid other persistent economic anxieties and uncertainties.

It feels like half of financial institution leaders are waking up every day scared—and letting those emotions guide an overall strategy toward a much shorter-term focus. Of course, it’s human nature to get concerned when revenues drop. The natural temptation is to slash costs and take a month-to-month or quarter-by-quarter view on survival. But it’s never smart to let emotions guide enterprise strategy.

The other half are doubling down—continuing to focus on improving CX and deepening loyalty. They’re building scalable business models that will let them pounce on opportunities, without the chaos and costs of having to scramble to add people and build ad hoc processes when the moment of opportunity hits.

Total Expert General Manager of Banking James White says, “It isn’t about cutting costs. It’s about giving your organization the ability to generate more revenue for every dollar spent.”

Cutting back and focusing on survival is a risky proposition. By doubling down on what you need to win loyalty today and capture volume in the future, your financial institution will be able to differentiate from transaction-focused financial institutions—and win the long game by earning customers for life.

Building deeper customer relationships starts by truly understanding your customers’ financial needs and goals. Learn how Total Expert Customer Intelligence can give you the insights you need to engage your customers in more meaningful conversations.

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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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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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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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