Customer Engagement

3 Brands Crushing Their Customer Experience and What You Can Learn from Them

5 mins read
October 22, 2019
By
Total Expert

Customers aren’t sizing your financial brand up against other banks or credit unions, they’re sizing you up against all other companies. And the competition for great customer experiences is stiff.

Your credit union may not sell everything under the sun, but you’re still competing with online retailers around the globe who have vast resources and hoards of data scientists spinning their clicks into valuable insights. These brands have mastered personalization and they’ve raised the bar for everyone.

The good news is that you don’t need to be funded by Jeff Bezos to deliver a great customer experience – you just have to be open to learning from the masters and applying their lessons to your financial brand. To get you started, here are three of our favorite approaches to creating an excellent, memorable customer experience that come from three major brands:

1. Turn Your Experience into a Club Like Starbucks

There are few success stories as bold as Starbucks Rewards. The coffee giant introduced this program in 2009 and saw incredible growth in use: Active membership was up to 16 million as of December 2018, a healthy 14 percent increase over the prior year.

But how did they get to a place where Starbucks Rewards transactions account for 40 percent  of tender in their company-operated stores? They build a great mobile experience – so good that customers would rather order and pay by app than with cash from their old, leather wallets.

In this push, Starbucks did three brilliant things:

  1. They gamified customers’ orders using a points system that incentivized developing regular purchasing habits and trying new items.
  2. Their app acts as a recommendation generator that introduces customers to products they may not have tried before.
  3. Starbucks uses their app to soft launch new products and give users the sense that they have an exclusive edge on the rest of Starbucks shoppers.

What makes Starbucks Rewards successful is that is makes being loyal fun and rewarding, and it’s accessible in the app, on a desktop or wherever you need their services. Their choice to go omnichannel may not seem all that important, but being both mobile-forward and desktop-friendly, they enable office workers to order a cup of coffee and pay online without taking out their personal phone at their desk. The experience they’ve built demonstrates that they understand their customers’ needs and caters right to them, wherever their customers are in their day.

2. Become a Recommendation Engine Like Amazon

Amazon doesn’t have loyalty at the level of banks yet, but they do have the traffic: 9 out of 10 consumers check a product’s price on Amazon before making a purchase. As the first point-of-contact when a customer needs to know what the best product to buy is, Amazon has established itself as the defacto search tool for getting the best product at the right price.

The good news for financial brands is that Amazon has yet to claim this position when it comes to financial products and services. Your organization can leverage user data to position itself as the resource customers seek out when they need information.

Serve up recommendations that are relevant to your customers every time they have a questions and customers will think of you as the first point-of-contact or resource when their next question arises.

3. Let Customers Live Your Brand Like Capital One

Encourage customers to live your brand by making it a part of their routine. For example, if your credit union is all about supporting your community through financial health, you might redesign your branches to be community-oriented social spaces.

The best example of this actually comes from a financial brand. In 2018, Capital One opened its first Capital One Cafes, where baristas sling coffee at half-price to the brand’s customers and at full-price to folks who are just dropping in for desk space and a hot beverage.

Capital One staffs these locations with customer support representatives and financial advisors, putting their bank’s services in close proximity to busy folks looking for coworking spaces. And this fits in perfectly with the level of customer support their brand promises and delivers: they’re there for you when you need them. In their new Capital One Cafe experience, they’re also there with a cup of coffee and convenience.

The other way Capital One integrates their brand promise into their customer’s daily lives is Eno, an AI app that helps flag suspicious transactions and preempt fraud by monitoring customer accounts. Eno provides customers with peace of mind by sending emails or alerts to help customers address suspicious transactions or extra-generous tips on restaurant bills.

Capital One makes it easy for customers to place their trust in the brand by being accessible and easy to interact with, digitally and in-person.

Use Modern Marketing Techniques to Lead in Your Industry

Modern marketing has changed banking forever, and this is a good thing. From Starbucks’ exceptional rewards program to Amazon’s incredible price comparison machine, big brands are pushing the envelope and showing everyone else what we need to do to lead in our own industries.

It may feel intimidating to realize that you’re competing with Netflix to have the best customer support in town, but this is a good thing. The techniques you borrow from big brands can help you figure out how to incentivize customers to open up a new line of credit or they can lead you to diversify the products available within your brand ecosystem.

Deploy proven marketing tactics to become a leader in your own vertical, and watch your financial brand’s foothold grow.

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That shift isn’t incremental. In this new, AI-enabled age, lenders have a real opportunity to do more than simply iterate on processes that have been in place for decades—they can reimagine the entire engine that’s powering their businesses. AI assistants can text, call, schedule meetings, and share information with tens of thousands of borrowers at once. Pair that scalability with the contextual data Total Expert already holds, and your outreach becomes hyper personal, always relevant, and perfectly synchronized with your customer’s financial journey.

For loan officers, that means less time clicking through screens and more time building relationships and educating consumers. This shift isn’t about automating away the work; it’s about elevating your teams’ ability to execute on every possible opportunity.

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Why "Faster" Isn't the Goal: Joe Welu on Building Customer-for-Life Lenders with AI

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Most lenders approach AI the way they've approached every technology upgrade for the last two decades: find the part of the process that's slow and make it faster. Total Expert Founder and CEO Joe Welu says that mindset, while understandable, is holding the industry back from the outcomes AI actually makes possible.

In a recent conversation with HousingWire, Joe unpacked the mindset shift he's been sharing with lenders all year: stop optimizing the old process and start reimagining it from a blank canvas.

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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The best leads aren't always new leads. In fact, they're hiding in the database every loan officer already has, waiting to be noticed.

That's the insight USA Mortgage discovered when they partnered with Total Expert to transform how their originators identify, nurture, and convert past customers into new opportunities. The result? ~$60 million in funded loan volume in just six months, plus another $175 million in pipeline.

But here's what's really interesting: the technology wasn't the bottleneck. It was the process.

The problem: leads disappearing in the middle

Walk into any mortgage lender, and you'll find the same story. Loan officers are smart, they work hard, and they have plenty of leads coming in from multiple sources: referral partners, purchased leads from Zillow and LendingTree, and their own past customers.

But somewhere between the lead arrival and the follow-up, opportunities vanish.

USA Mortgage's VP of Sales and Customer Experience, Alec Picinich, described the friction this way:

"We had strong loan officers and plenty of lead activity, but the handoff was the issue. There was no uniform system in place. Most producers had their own system—reminder-based inbox notifications, spreadsheets, personal call lists. The lack of centralization was the biggest issue. The gap was in the middle, where the opportunities kind of just disappeared."

All those disconnected systems led to inconsistent follow-up and limited visibility into what was working and what wasn't. And with no way to nurture borrowers who weren't quite ready today but might be ready next month, those opportunities got buried deeper and deeper under waves of new leads.

The result was predictable: lost deals, confused teams, and a corporate support function with limited ways to help scale best practices across the organization.

The Solution: one source of truth

Rather than layering on more tools, USA Mortgage decided to consolidate. They brought all their leads from referral partners, purchased sources, and past customers into a single unified platform: Total Expert's Lead Management.

But consolidation was just the first step toward preventing leads from slipping through the cracks. The real shift came when they connected three capabilities:

1. Customer IQ: identifying opportunities in your existing database

Most loan officers don't excel at proactively reaching out to past customers. They're focused on today's purchase business, and without a system to surface opportunities, past borrowers fade into the background.

Customer IQ changes that. It's a contextual data system that continuously monitors and enriches every contact record in your database. When a borrower experiences a life or market event that creates an opportunity such as a rate drop (refinance window), a credit inquiry from another lender, a debt threshold crossed, a marriage or divorce, Customer IQ spots it and brings it to your team’s attention.

At USA Mortgage, this meant monitoring 190,000 customers and turning insights into action. In just six months (January–June 2024), those customers generated:

  • ~$60 million in funded volume
  • $175 million in application pipeline (with expected 80% funding conversion)

That's an opportunity that was already sitting there; it just needed to be seen.

2. Lead Management: centralized workflow and accountability

With Customer IQ surfacing opportunities, USA Mortgage needed a system where loan officers could manage those leads the same way they manage purchased or referral partner leads.

Lead Management provided:

  • A single source of truth for all leads (past customers, referral partners, purchased leads)
  • Clear visibility into lead stage and action items
  • Consistent routing based on originator or branch
  • Automated nurture campaigns for borrowers who weren't ready yet
  • Compliance controls to ensure messaging is consistent and compliant

Suddenly, loan officers could answer three simple questions about every opportunity: Who is the lead? What do they need? Why is the opportunity present right now?

That context—that "why"—changes everything. It's the difference between a cold check-in call and a conversation-ready outreach.

3. AI Sales Assistant: outreach on demand & at scale

Even with a unified system and better intelligence, loan officers still can't personally call every past customer when the market shifts. If rates drop and 1,000 borrowers become in-the-money for a refi, even the most efficient lending teams can't operationalize that in the two or three weeks when the market window is open.

Enter AI Sales Assistant, a human-like voice AI that’s powered by Customer IQ’s contextual data and trained on real-world mortgage conversations so it can answer questions, navigate borrower objections, and qualify opportunities.

AI Sales Assistant acts as an extension of lending teams by:

  • Initiating outreach to all qualified past customers (potentially in a single day)
  • Personalizing the conversation based on the borrower's situation, previous transaction, and estimated savings
  • Handling objections gracefully (Alec shared the story of a borrower who said "I'm feeling sick, not a good time.” AI Sales Assistant responded with empathy and offered to schedule with the loan officer later, which the borrower accepted)
  • Offering warm transfers to the loan officer for borrowers ready to talk
  • Scheduling meetings on the originator's calendar for qualified leads

This allows loan officers to focus their time on high-quality conversations with informed borrowers, not figuring out who to call or manually working through a database.

Real-world execution

One of USA Mortgage's senior regional VPs shared a success story that perfectly captures the shift:

An experienced loan officer received a credit inquiry alert for a past customer; someone she hadn't worked with in years. The borrower had lost the loan officer’s contact information. But thanks to the alert surfaced by Customer IQ, the loan officer reached out with context and relevance.

The result? A $400K pipeline boost with minimal effort from the loan officer.

This doesn't happen with a generic check-in call. It happens when the loan officer knows why they're calling and has the data to back it up so the outreach feels timely instead of transactional.

The bigger picture: human + AI operating model

What USA Mortgage discovered is that the future isn't human or AI. It's human + AI.

The loan officer remains the relationship owner and builder, the decision-maker, the one who earns trust. But now, they're equipped with:

  • Intelligence about who to engage and why
  • Automation handling the high-volume, time-sensitive outreach
  • Consistency across the entire organization
  • Tools that make their job easier, not harder

Three takeaways

If you're struggling with lead follow-up, originators working in silos, or deals slipping out the back door, here's what to focus on:

1. Strong lead management isn't just about speed—it's about long-term nurturing
Speed matters for converting hot leads, but most conversions happen in the follow-up. Build a nurturing strategy that keeps borrowers engaged from first touch through the next opportunity to serve.

2. Your database is your biggest opportunity; operationalize it like a referral partner lead

‍If you're not connecting data intelligence with lead management, you're leaving deals on the table. Treat past-customer insights with the same urgency and structure as a purchased lead or referral partner referral.

3. Build an enterprise strategy with human + AI models

‍Replace ad-hoc originator habits (spreadsheets, personal reminders, disconnected systems) with a unified, AI-assisted operating model. Consistency across your sales force is what unlocks scale.

Watch the full conversation

Hear how USA Mortgage is using Total Expert to solve their lead management challenges, develop a better understanding of their customers, and engage opportunities at scale.

Ready to explore how a human + AI operating model could transform your originator productivity and customer conversions?

Reach out to your Total Expert Customer Success Manager or book a demo with our team below!

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