Banking

Banking Cross-Sell [Part 2]: How Consumers Engage

5 mins read
July 7, 2022
By
Megan Burr

Bank customers and credit union members do a significant amount of research before purchasing a financial product or service. More than half of the customers considering buying a new product seek out information prior to the time of purchase, according to a Gallup U.S. Retail Banking Survey of 9,000 financial service consumers.

In fact, Gallup research found that customers who looked for information had a 17% lift in eventual sales conversion rates.

If you’re a leader at an institution, you might be thinking ‘when customers come looking for information, we’ve got a pretty good chance.’ Don’t forget that most consumers don’t know the difference between a bank and a credit union; they also don’t know the difference between a bank and a multitude of other companies they consider to be “financial providers.” Consumers have as many as 30 relationships with different “financial” companies. Your information channels are competing against every other provider’s channels.

Financial institutions must identify their most influential information sources for converting the ‘pondering’ customer into a ‘sold’ customer.

Need to know how banking consumers engage by channel? Here it is.

(Regardless of financial institutions’ definition – or preferred term – for cross-sell, we take the term to mean creating revenue by deepening existing banking relationships.)

Not surprisingly, Gallup research found that social media was the most effective channel used by customers that lead to sales conversions. What may be a surprise to many is that written material – direct mail and email –was the second most effective selling tool for banks and credit unions.

Interestingly, the channels with the highest cost to the bank – speaking to someone in the branch or a customer service representative over the phone – provided much lower conversion rates.

As banks and credit unions manage multiple communication channels to effectively and efficiently move potential customers through the sales funnel, financial marketers should ask themselves the following questions as they allocate resources:

  • Do we know where our customers, specifically, are looking for information prior to purchasing?
  • Are we delivering a consistent message across sales information channels?
  • How do we balance our resources between those channels that are high impact in conversion but low in usage (i.e. social media) vs. those that are high in usage but have lower impact in conversation (i.e. spoke to someone in a branch)?
  • Do we know what our customers value in a bank and are we delivering on the message at every touch point?
  • Do we know what actions we need to take to increase conversion rates in each channel?

Total Expert’s Analysis: The Opportunity

Banking marketers should consider the value of volume within information channels – even when they have lower conversion rates than other channels. Consumer behavior can make up for a low conversion rate. For example, because more than 1 in 4 shopping consumers went to a branch, it provides more conversions than any other channel — with the exception of print and email marketing.  

Print and email marketing, on the other hand, have an amazing conversion rate of 16.6%. But, so few consumers ‘use’ those channels, that they way underperform in terms of volume relative to the channel’s conversion rate.

Just in case you aren’t seeing the irony, here’s what’s interesting:

For every 100 customers researching a product, nearly 3 convert from print and email, about 1.5 converts from branch visits, and the website converts just more than 1.4. That means:

Print and email have DOUBLE the conversion Volume.

Unfortunately, less than 1 in 5 consumers ‘used’ emails or print materials. Why is that odd? It’s because – unlike consumer actions like visiting a branch – the bank marketing team controls how often consumers receive information through those channels.

Why would consumers not ‘use’ print and email then? It’s because bank marketers either don’t use it, or don’t use the channel well, or face challenges in harnessing the much higher conversion rate of those channels.

According to a Total Expert study of 200 financial, about 34% of bank and credit union leaders say they still manually leverage data for segmented messaging; 23% have limited access to data with which to send emails, and another 28% just send the same message to all customers.

In fact, Total Expert analysis shows that the single greatest challenge facing financial institutions when it comes to print and email marketing is efficiently utilizing data for print and email journeys. Financial leaders say their staff remains bogged down with manipulating segments manually, and by the raw volume of work needed to produce truly valuable, segmented, personalized messaging.

Consumers offer banks and credit unions one of the highest conversion rates possible in print and email marketing. Now institutions must find partners who will help them skip the beginner phase in digital marketing. Those who do — thus freeing their staff to develop game-changing experiences rather than spending time manually manipulating data — will become the true frontrunners in the race to engage customers.

Improving Cross-Sell at Financial Institutions

Now, we’ve covered how engaged customers or members are the most likely – even more than satisfied consumers – to deepen their relationship with a financial institution. And we’ve also covered how institutions can meet customers or members where they are engaging.

Here are Jim Marous’ recommended steps for banks and credit unions to excel at engaging customers and members to support deeper product usage and greater loyalty within the relationship: “Guide: Improve The Cross-Sell Process.” (Coming Soon)

Editor’s note: Italics indicate edits to the original to accommodate layout or to provide additional information or resources for this series.

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Total Expert Founder & CEO Joe Welu recently joined Robbie Chrisman for an episode of the Daily Mortgage News podcast where they discussed the current (and future) state of the mortgage industry, challenges facing lenders and loan officers, and the solutions that AI-enabled tools can provide in difficult markets.

Agentic AI is reshaping loan officer productivity and customer engagement. With Total Expert’s new AI Sales Assistant, lenders can automate lead incubation and qualification—achieving human-like conversion rates in weeks, not months. Joe also highlights the power of voice AI to revive aged leads, trigger refinance opportunities, and prevent deals from falling through the cracks, all without the need for massive call centers and without removing loan officers’ ability to build authentic human connections with borrowers and homeowners.

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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By Pete Karns, Chief Product Officer, Total Expert

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.
  • Does it function as a true AI agent, not a static bot?
  • 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.

Because when AI works, it’s not just impressive—it’s indispensable.

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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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