Lending

Attract New Customers or Members but Keep the Old with Proven Strategies from Data and Behavioral Science Experts

5 mins read
September 5, 2019
By
Total Expert

Banking used to be a primarily relationship-based model. Consumers would stay with the same bank for the duration of their lives and may have even worked with the same branch that their parents used. Why? Because it was familiar to them, it met their needs (both convenience and otherwise) and they had a trusted relationship with the bank.

Today, financial brands are walking a fine line to attract new customers or members – all while remaining true to their brand. Marketing to up-and-coming generations adds an additional dimension to this challenge given certain personas may not be fully fleshed out yet.

Hear from Total Expert Product Marketing Manager Matt Noyes and Data Propria President Matt Oczkowski as they discuss the best ways for you to attract new audiences and showcase what your financial brand has to offer.

Matt Noyes: So, Matt, when we were at the Financial Brand Forum earlier in the year, we spoke with a lot of marketers, branch managers, all sorts of folks from various financial services orgs. A lot of them shared their goals for the business and the challenges they were trying to solve.

Matt Noyes: One example that came to my mind was a conversation I had with a couple of marketers who made up their bank’s entire marketing team, a regional bank here in the Midwest. They talked to me about how branch traffic was declining and that their customer base in this mostly rural community was aging and that they knew that they needed to attract some new customers, because they knew if they didn’t start attracting new customers from outside of their general branch traffic that they weren’t going to have customers for that much longer.

Matt Noyes: The problem for them was that they just didn’t know where to start. They didn’t know these potential new customers because they didn’t see them in the branch. They didn’t know how to get in front of them because they didn’t know where they might be coming from or where they “spent their time”, digitally or otherwise, and they didn’t know what they wanted from the bank.

Matt Noyes: They didn’t know where customers were going for their current needs and why they weren’t coming into the branch. As we think about this, to really help our listeners better build their audience and address their customer’s needs, I think it’s worthwhile for us to run through a few of these bigger challenges facing financial services orgs because these challenges pose a significant barrier to taking this meaningful action we’re talking about.

Matt Noyes: Let’s maybe talk through what you and your team at Data Propria are seeing out there regarding the challenges facing these financial brands. Let’s just talk through a couple of these: aging demographics, catering to those changing demographics as well, whether that’s growing younger in the customer base or otherwise. Let’s talk through a few of these and get your thoughts on what you guys are seeing.

Matt Oczkowski: I mentioned the term self-fulfilling prophecy before, and I think that’s something that’s very prudent in understanding changing and aging demographics. If you’re only using knowledgeinside of your institution and only relying on data of what your current customers look like, you’re going to be building models and forecasts on audiences about where you are today in that aging demographic but not necessarily where you’re going tomorrow, and I think to focus on the future of the financial customer.

Matt Oczkowski: There are some ways you can do this in a very lean, cost-effective way that doesn’t necessarily have to be a massive market research program or something like that. It’s the idea of getting outside of your comfort zone and starting to understand different data resources, but also authenticity. Where authenticity meets new data is really the focus when you’re talking about aging demographics. I see far too many financial customers say, oh, young people are using things like Venmo and the Cash App, so I have to mimic that approach.

Matt Oczkowski: No, don’t do that, because that’s not authentic to who you are as a brand and what you’re trying to do. Be real to your customer. Certainly, embrace new technologies, but yes, what are the underlying elements in why people like those organizations? Is it convenience? Is it user experience? Is it functionality? Is it customer service? Whatever it may be, learn from those elements and use those authentically to who you are and what you do, but then again you also have to understand who that audience is.

Matt Oczkowski: I think there’s far too much of an inclination to read a publication on Adweek and say, oh, young people are using Snapchat, so I’ve got to be on Snapchat. Well maybe, but how do you know that? Is Snapchat the right vehicle, is that the right media preference for the customer that you’re trying to go to? Could you be doing better just with customer segments between 35 and 50 rather than trying to go down to 18 to 25? Is that efficient? Is that effective? How do you test that? Being able to find other data resources outside your organization, maybe leveraging some commercial data sets that exist in the marketplace.

Matt Oczkowski: But maybe conducting some market research to your existing customers, asking them what they like and don’t like about your brand, going out and doing some small testing. There’s a lot of online survey tools today within tools like Google and Facebook that you could use that are still very helpful directionally that might not be the end all be all of a large scale quantitative research experiment, but that could help you learn about the customer base and what they want. Once you start to build that information it’s going to help point you in the right direction, not only of persona and audience development but also productization and how do you point your organization in the right direction.

Listen to the full webinar to drive relationships and revenue in your organization.

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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.

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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.

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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.

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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.

Compared to prior waves of AI, Welu sees this moment as fundamentally different. “Most of the AI was very incremental… this is helping you go deeper with customers and ultimately create loans and new revenue. The ROI is nearly immediate.

Looking ahead, Total Expert is moving quickly to build on that momentum. “We’ve taken a more extreme and aggressive approach to innovating and moving quickly… it’s just what’s required to win in 2026,” he said.

What’s next includes new capabilities already in development. “We’re releasing… our next AI agent… a refi agent, which helps you go in and analyze your portfolio, create scenarios and just do some really cool things,” Welu shared.For Welu, the mission remains simple: “How do we partner and help our customers win at the very highest level, period, full stop.

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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