Banking

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

5 mins read
July 7, 2022

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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[Daily Mortgage News Podcast] Joe Welu Talks Agentic AI in the Mortgage Industry

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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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The Loan Officer’s New Co-Worker: Total Expert’s AI

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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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AI Revolution: From “Discovering Fire” to Real Business Outcomes

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By: Joe Welu, Total Expert Founder & CEO

Best Practices for Executive Teams Deploying AI in Financial Services

The AI revolution feels like humanity just discovered fire—and everyone is racing to see what they can ignite.

That means a rush of AI pilots and proofs-of-concept across all industries, many of which launched without evaluating each use case against actual business value.

As I meet with CEOs and executive teams from leading mortgage lenders and financial institutions, the conversation has shifted from “What can AI do?” to “How do we deploy AI responsibly, at speed, and with measurable impact?”

The market leaders I work with are outpacing competitors by following a remarkably consistent playbook. They’re not just testing AI, they’re embedding it across their organizations with purpose, speed, and discipline.

Below, I’ve distilled the best practices I’ve observed from the institutions getting the most from AI today.

Anchor AI strategy to business outcomes

Tie every AI initiative to a clear business priority—whether it’s loan growth, customer retention, or operational efficiency.

Define KPIs, ROI targets, and adoption metrics before a project begins. No project should exist without a measurable path to value.

Start with high-impact, low-friction wins

Focus first on areas where a proof of concept or pilot is feasible within 30-60 days. Conversational and Voice AI solutions provide many options for pilot use cases. Other common use cases involve document classification, predictive churn modeling, or intelligent lead scoring. These early wins build momentum, prove ROI, and prepare teams for more complex deployments.

Invest in data quality and governance early

AI is only as good as the data feeding it.

Start by creating a single source of truth for customer and loan data. Then, anticipate obstacles to deploying AI with your data, such as consumer consent and preference management, and start addressing these things ASAP. Investing in tools like Customer Intelligence will help enrich your data and increase its value.  

Embed compliance and risk management from day one

Regulations such the Gramm-Leach-Bliley Act (GLBA), TCPA (Telephone Consumer Protection Act), and UDAP (Unfair, Deceptive, or Abusive Acts or Practices) will be a few key areas where regulators dig in and look for companies cutting corners.

Create a cross-functional AI task force

Bring together leaders from product, compliance, data science, operations, and customer experience. Avoid siloed pilots—alignment ensures every initiative supports the broader business strategy. Include change management expertise to drive adoption, not just deployment.

Prioritize customer experience and trust

Every organization has gaps in their customer journey and can benefit from leveraging AI to provide human-like touch points throughout the experience. Use AI to remove friction, improve transparency, and deliver personalization at scale. Keep humans informed about high-stakes decisions and be transparent with customers about how AI is used and how their data is protected.

Build for integration, not isolation

Select AI solutions that integrate seamlessly with your CRM, LOS, core banking systems, and data lakes. Use APIs and modular architectures to avoid “AI silos” that slow scale and ROI.

Focus on talent and change management

Embracing AI with a growth mindset should be table stakes. Incentivize adoption so teams see AI as an enabler—not a threat to their roles. Upskill executives and frontline teams in AI literacy. When needed, recruit or partner for deep ML and data science expertise.

Measure, monitor, and iterate

AI is not a one-and-done project—it’s a living product. Track performance, user adoption, and ROI continuously, and refine models quarterly to maintain accuracy and relevance.

Choose the right tech partners: favor vertical specialists

Partner with vendors who understand financial services—especially your unique customer journeys or workflows. Deep domain understanding on core systems, database schemas, compliance, and other nuances will be a key factor in the results you achieve.

Benefits of vertical-focused partners:

  • Deep understand of unique data sets and customer profiles
  • Faster implementation with industry-specific models
  • Built-in regulatory and risk controls
  • Product roadmaps aligned to lending and banking trends

Horizontal AI tools have their place, but without deep domain expertise, they often require heavy internal customization and a slower time to value.

The future is here

AI today is not the same as the project in 2018 that failed to deliver those operational efficiencies in the back office everyone was promised. Its potential to transform nearly every part of our businesses is becoming increasingly clear. Every day you delay, competitors are building up their capabilities and you will struggle to catch up. As one of my investors put it bluntly, “Every day you fail to execute a comprehensive AI strategy, the value of your business goes down.”  

To learn more about how Total Expert is working with our customers on high-impact AI initiatives, please reach out to our team.  

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