Accelerate

Top 10 Takeaways from Total Expert’s Accelerate 2021

5 mins read
October 14, 2021
By
Total Expert

This month, we were honored to host our bank and lender customers at our 2021 Accelerate conference in Scottsdale, Ariz. When you get the best marketing minds in consumer finance together for two days and nights, the results are electric. Read on for the top 10 takeaways we hope will tide you over until Accelerate 2022!

1. The Smartest Person in the Room Was the Room

According to Accelerate attendee and Nationwide Mortgage Bankers marketing head Jarrett Stanley, “The smartest person in the room was the room.” We couldn’t agree more. There’s no replacement for face-to-face customer engagement. One huge theme that gelled at this event was how existing banks and lenders mastered one-on-one human customer care long before the fintech disruption era. This phase of the era is when these organizations — which have most of the mortgage and consumer lending and banking market share in America — master the same digital capabilities as the disruptors, which then powers the human touch.    

2. Fintech-Powered Banks & Lenders Will Beat Fintech Startup Banks in the End

Total Expert Founder and CEO Joe Welu shared staggering stats about how digital banking disruptor threats are real. Eighty-eight challenger banks raised $100+ million funding rounds in 2Q21 alone. Crypto leader Coinbase now offers banking to its 68 million customers. PayPal added 100 million customers in 18 months during the pandemic and is now expanding further into banking. The list goes on. The point is: these models fall short because they aim to edge human advice out of consumer financial decision-making. Meanwhile, Total Expert and other fintechs serving banks and lenders, aim to empower human advisors by automating personalized advice and ensuring the human connection is only a tap away for lending and banking consumers.

3. The Marketing Funnel Is Dead. Long Live the Customer Journey.

James Robert Lay, founder of the Digital Growth Institute, noted how modern marketing is no longer a simple funnel. Instead, it’s about orchestrating a much more complicated digital journey for financial services customers. Two key stats he shared underscore this. First, 87% of consumer shopping journeys start online for a financial product but only 2% convert on the first visit. Second, 43% of consumers believe websites aren’t designed around end-user needs, while 95% of bank/lender teams say it’s “somewhat” or “very” easy for users to use their site. Combined, these points show banks and lenders have work to do on customer empathy, and how important empathy is in mastering modern digital journeys for customers.

4. Master Customer Marketing Journeys by Operationalizing Empathy

Expanding on this concept, Founder and CEO Joe Welu described how cracks in the customer journey form when banks and lenders fail to personalize, engage, and automate communication with customers. You can operationalize this with data, insights, and action. One innovative example of data is real-time surveying each customer on their intent, which takes life events (like growing a family, selling a home, etc.) a step further to ensure you truly understand customer intent around these events. This transforms mere data into insight, then marketing automation feeds this insight about intent to sales teams as tasks, which enables them to speak to customers with true, informed empathy. This data, insights, action flywheel with the customer at the center is the modern journey — and this is how you operationalize empathy.

5. Total Expert Changed the Marketing Game on $1 Trillion in Mortgages This Year

Total Expert Chief Product Officer Matt Tippets shared how, in the last 12 months, 85,000 users created 2.1 million tasks in Total Expert’s CRM. They increased marketing automation by 300% by sending 1 million SMS messages and 300 million emails, which created 5.5 million insights. The result: Total Expert has powered 3 million loans in the last 12 months, representing $1 trillion in loan production, which is about one in every four loans and 25% of total mortgage production in America. Matt shared six ways Total Expert helps power this: Understanding Customers, Drawing Insights Into Customer Needs, Enabling & Empowering Teams, Customer Engagement & Marketing, Creating Personalized Experiences, and Measuring Engagement & Success. Matt detailed these concepts here, and Founder and CEO Joe Welu detailed them here.

6. Four Mortgage Lender Playbooks to Win the Customer Retention Game in 2022

Total Expert product lead Alec Catsuros and The Basis Point’s Julian Hebron ran down four bank and lender customer retention playbooks for 2022, which were: (1) The Golden Age of Debt Consolidation Cash-Out Refi Mortgages, (2) Home Improvement Cash-Out Refi Mortgages In A Time Of Record Home Equity, (3) Trade Up Homebuyers In A Market Defined By Bidding Wars, (4) Second Home & Investment Property Buying In The Remote Work Era. Alec explained that there’s a critical gap between what financial providers vs. customers know about markets and product availability, so providers must do real-time personalized surveys of customers (which Total Expert powers down to the individual customer level) and feed those action items to salesforces. Julian went through the latest market data that makes these four playbooks relevant ways to break through to and educate customers right now.  

7. Personalization vs. Privacy: Solving the Financial Marketer’s Dilemma  

Data and marketing guru Josh Lehr of Total Expert and Taylor Donnell of Jebbit shared that while 79% of consumers worry about data security, 64% of people are willing to share personal data to get more relevant, personalized services. Also, 44% of consumers trust financial firms with their data — this is high compared to other industries. Josh emphasized how critical zero-party data is to the modern marketer. This is data a customer intentionally and proactively shares with a business which includes personal preferences, purchase intentions, personal context, and how they want to be interacted with. Taylor summarized six non-intrusive ways to get zero-party data: (1) Give Me A Recommendation, (2) Save Me Time, (3) Test Me, (4) Unlock A Benefit For Me. (5) Teach Me, (6) Entertain Me. More details here on how to use this data effectively.

8. The Five-Part Formula to Make Every Customer a Superfan

In her keynote, Chief Experience Officer of Experience.com Brittany Hodak defined a “superfan” as a customer who’s delighted with their experience, compelled to return to you, and tell others about you. She said every customer is an influencer, and that you don’t find superfans — you must create them. Brittany shared her five-part formula to creating superfans: S: Start with your company’s story–not your value proposition or pitch, but your story so people can relate to you. U: Understand each customer’s story–she gave a pro tip here that your customer’s story IS your story.  P: Personalize your communication with each customer–she gave the Chewy.com example of how they get intimate with people by knowing, loving, and promoting their pets. E: Exceed expectations with each customer–here she applies the Platinum rule that says treat customers the way THEY want to be treated. And most important is the R: Repeat. More on Brittany’s great talk here.

9. Pro Tips from Top Lender Sales, Marketing, Digital Pros

On a lender best practice panel, American Pacific Mortgage sales and marketing head Melissa Wright said her firm has double the industry average customer retention by understanding how loan officers adopt technology that helps them retain customers. She shared three categories of adopters: embracers, follow-on folks, and resistors. Turn the embracers into the evangelists and influencers and it brings the other two categories onboard. Assurance Financial Chief Digital Officer Katherine Campbell said the current market turn is also driving adoption as loan officers open up to new ways to engage and retain customers. Motto Mortgage Head of Product and Strategy Dustin Morton made it crystal clear that, in lender organizations, the loan officer is the customer–keep them happy and they’ll keep customers happy. Perhaps most important, they all said content in the company and loan officer voice is the special sauce that makes all their marketing technology and automation special.  

10. Journey Is Timeless Both as a Band and a Marketing Strategy

The theme of Accelerate 2021 was Elevate the Journey, and we work hard to practice everything we power for our bank and lender customers. To us, this conference was constructed as a 2022 playbook journey for our customers — and a journey of high engagement for two days and nights. We didn’t stop believing in our Journey playlist for Accelerate attendees, and we even brought in a Journey tribute band for one of the evening receptions. It’s always about the journey we’re on with you, and how we can make your experience better — so you can make the experience better for your customers. We can’t wait to host you next year and keep improving for you every day until then.

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That’s because AI-enabled tools are designed to reduce the administrative and repetitive tasks that take you away from what you do best: advising customers and guiding them toward the best possible financial outcomes. Joe also shares insights on selecting AI partners wisely, managing data responsibly, and capitalizing on both front- and back-office efficiencies. As the AI arms race heats up, Total Expert aims to empower originators—not replace them.

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AI is no longer a future state—it’s already here, embedded in everything from ride-sharing apps and food service to factories and farms. In the world of financial services, though, this ubiquity comes with pressure to integrate AI fast, appear innovative, and keep up with competitors—all while being mindful of evolving federal and state compliance requirements. Moving fast without a plan or awareness of up and downstream implications often leads to AI-enabled solutions that either underdeliver or don’t deliver at all.

At Total Expert, we’ve taken a different path: thoughtful integration over flashy announcements. As more financial institutions wrestle with what “real AI adoption” should look like, here’s what we’ve learned and what lenders need to consider to get it right.

Where enterprise AI goes wrong

Too many financial services leaders have experienced what I call “AI failure to launch (and scale).” They’ve rushed to try unintegrated AI-enable offerings and bolt on AI tools—often generalist chatbots, white-labeled versions of generative tools, and/or hooking up to MCP servers—without a clear sense of how these tools will solve their business problems or add potential risk. The result? The occasional value-add result. However, what we see more is poor user adoption, wasted spend, and limited impact.

This is the same trap we saw with “digital transformation” a decade ago, or the original horizontal SaaS applications that evolved or were replaced by vertical-specific solutions. AI-enabled solutions offer tremendous, generational promise but they risk becoming vanity-first, value-later tools. We are focused on the former.

AI that thinks and adapts: Welcome to agentic AI

Let’s make one thing clear: not all AI is created equal.  

Chatbots have been commonplace in financial services for a decade now, but remain rigid, rule-based tools that handle repetitive tasks.  I’ve worked with “AI” services for more than 15 years and each had their own place and potential when used properly. Herein lies the opportunity. Modern lenders that are focused on retaining and growing their customers in an ultra-competitive market need something more dynamic. Enter AI agents that can understand context, adapt on the fly, and speak in a human-like way. These agents are coachable, brand-aware, and learn from every interaction. They don’t follow scripts—they think in real time. And when built correctly, they become a seamless part of your customer experience.

This is the evolution from AI as a support function to AI as a trusted team member.

Total Expert recently launched an AI Sales Assistant that puts this principle into action. It functions as a scalable, intelligent teammate—able to engage leads, deliver personalized conversations, and identify high-potential opportunities—all while staying aligned with your brand voice and compliance requirements. It’s not a chatbot bolted onto a CRM—it’s a fully integrated AI-enabled solution, utilizing data, embedding within workflow orchestration, and playing nice with application logic because it has the necessary context to work within your lending ecosystem.

The real “why” behind AI adoption

Before choosing any AI solution, or any technology solution, financial services firms must ask themselves: What business problem are we solving?

For example, when mortgage rates dropped for a few weeks in September 2024, our customer intelligence capabilities identified nearly $2 billion in immediate refinance opportunities. But no team of loan officers could scale quickly enough to reach every qualified lead. That’s where AI tools prove invaluable—automating first-touch outreach at scale, surfacing the best opportunities, and empowering human teams to scale up execution to drive retention and growth.

Why embedded beats bolted-on

The types of AI-enabled solutions we are talking about can’t function effectively in isolation. Without access to timely and accurate customer data, and invoked within a specific workflow process, it can’t personalize interactions, anticipate needs, or drive conversions at the right time.

Picture an AI assistant offering a refinance to a customer, only to stall when asked for more details. If it doesn’t know the customer’s current rate or financial profile, the experience feels hollow. That’s not just ineffective—it damages trust.

By contrast, when AI-enabled solutions are embedded within a unified customer experience platform like Total Expert, it draws on a 360-degree view of the customer. It knows the data, understands the history, and delivers contextually rich conversations that convert.

This is why we’re designing our AI capabilities with a focus on the unique needs of financial services organizations. The same purpose-built approach has earned the Total Expert platform its unmatched reputation for usability and time to value.

Generalist AI offerings can be a gamble that increase costs—and time to value

Implementing AI that’s not purpose-built for financial services introduces two major risks:

1. Usability failure: Your team must spend months customizing and configuring a generalist AI tool to make it work for your specific needs—if it will ever work at all. For example, imagine you’re a loan officer and one of your referral partners introduces you to a borrower. Now, you have to choose the best way to approach the first conversation with this borrower. There are countless permutations of questions and answers which all require deep personalization, compliance awareness, and consistent representation of the sales processes and brand tone of the lender. Generalist AIs will quickly reach their limitations in these complex use cases.

An industry-focused AI offering will be trained on this specific use case and provided with the context needed to hold a dynamic conversation with the borrower. This type of AI learns and adapts with each interaction, performing the most time-consuming tasks so you don’t have to.    

2. Compliance risk: Without built-in industry guardrails, you’re gambling with regulatory violations and brand safety.  As we know, the compliance landscape for financial services is broad and evolving at the federal and state level.  Look for AI offerings that are regulatory aware and enable you to configure them based on your organization’s risk tolerance and interpretations.

Lenders don’t need more tools—they need the right tools—ones that work out of the box, understand industry nuances, and deliver immediate, compliant value.

Ask these questions before you commit to an AI offering  

To maximize the probability of success, here’s a quick checklist for vetting solutions:

  • Can it solve a real, high-value business problem, and how? Review specific examples and ask to speak with other organizations that have implemented the tool.
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  • Can it be deeply integrated into your core system(s), workflow orchestration, and data?
  • Does it include financial industry compliance and brand guardrails?
  • Can it scale without sacrificing quality or regulatory integrity?

Building the future with purpose-built AI

Total Expert has always designed technology with financial services in mind, and our approach to utilizing AI is no different. We’re not chasing hype. We’re solving problems.

Our focus on AI isn’t simply building standalone features—it’s about embedded, intelligent, and deeply integrated AI solutions. It’s helping lenders scale smarter, engage more meaningfully, and turn data into action. Our AI Sales Assistant is just the beginning—an example of how purpose-built, AI-enabled solutions can solve real problems and deliver tangible value. We are already testing and exploring other AI-enabled solutions and I could not be more excited about the current and potential value our clients and our market will achieve.

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*This article was reposted from HousingWire.com*

In this exclusive interview, Joe Welu, Founder & CEO of Total Expert, shares the company’s latest advances in AI. He focuses on lessons learned from their pilot program and explores how AI is delivering a measurable lift in operational efficiency and lead conversions across lending teams.

Beyond internal improvements, Joe reveals Total Experts’ focus on the borrower experience and how their technology is designed to supercharge loan officers, not replace them. Joe shares with Allison LaForgia his forward-looking perspective on the innovations expected in the near future that will continue to drive Total Expert’s leadership in mortgage technology.

“We anticipated… it would probably take maybe nine months to a year to be able to get to parity with a human… and we’re blown away. It happened within two weeks,” Welu said. The voice AI agent, designed to qualify leads through inbound and outbound calls, is now handling more than 2 million calls a month, with multiple lenders, in various stages of scaling.

Welu attributes the rapid progress to the unprecedented pace of innovation in AI. “It’s like nothing anyone’s ever seen before… there’s hundreds of billions, if not soon trillions, being invested in infrastructure and large language models… we get the opportunity to build on top of those capabilities and reimagine what we can do in our industry.”

The pilot program, he said, was rooted in an iterative approach with tight feedback loops. “As we learn… it gives us information, and we make adjustments… A key thing we’ve learned with AI projects… get really super clear about what it is in the business that you are improving. Give them that target… so it’s not this ambiguous sort of black box.”

The results have been measurable: “We are seeing, in some cases, 10 to 20% better conversions,” Welu said. AI’s consistency is a major factor. “It always remembers to call people back… never calls in sick… works weekends… It allows you to take your great people and… have them doing the most highly productive work possible.”

Borrower experience is also improving. “One of the pleasant surprises… is the quality of the experience to the end consumer,” he said. Whether or not lenders disclose that a caller is AI, “the quality of the interaction is so high, they continue down the path.” The AI agent maintains “the right tone… the ability to match… the tempo of the conversation” while instantly tapping into contextual customer data.

Welu emphasized that Total Expert’s AI is designed to “supercharge,” not replace, loan officers. “There are still moments where consumers want high quality advice… Our goal is to take a loan officer and put them in a position where they are spending… the majority of their time having the highest quality conversations… and abstracting away things that don’t add value.”

Looking ahead, Total Expert’s roadmap focuses on intentional, scalable AI. “We think about getting super clear on… use cases, and partnering with people that are going to be as obsessive as you are, about making it great,” Welu said. Over the next year, customers can expect new capabilities in customer intelligence, lead management, and additional AI-driven use cases. “Seeing it all come together is what gets me up and excited every day.”

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