Customer Engagement

Key Alliances for Tomorrow’s CMO

5 mins read
April 30, 2019
By
Total Expert

As we’ve mentioned here before, the role of the financial services CMO is evolving. Increasingly, CMOs are expected to not only achieve ambitious growth goals but also own every aspect of the customer experience (74 percent of banks now consider customer experience their greatest strategic priority). This is an enormous responsibility – and one that’s not possible to achieve in a silo.

To succeed in ensuring universal excellence of an organization’s customer experience, CMOs will have to partner with other internal leaders. Here’s a look at which alliances will be most important in the coming years.

Leaders of Customer-Facing Teams

In an ideal world, marketers would work in close alignment with relationship managers and other customer-facing team members, sharing data and insights to provide the best service and deliver the best products possible.

In reality, though, customer-facing teams often work in physically separate areas from marketers and focus on distinct goals. As a result, customer-facing teams might be at best unaware of what their marketing colleagues are working on – and at worst, resentful of their efforts.

CMOs can’t afford that kind of discord. Instead, they have to recognize that customer-facing roles and marketers are both major drivers of customer experience; if these groups aren’t aligned, your customers will view your engagement as confusing, disjointed and arbitrary.

That type of experience could cost you the kind of deep, life-long relationships that really drive revenue: as many as 79 percent of customers consider their relationships with financial services providers as purely transactional – but 40 percent would be more loyal if their financial organization provided more personalized experiences.

To forge a connection with leaders of customer-facing teams, emphasize your desire to help them help their teams achieve their goals. There really is no reason for competition here; when one group wins, everyone wins. It’s also important for CMOs to share talking points, messaging, goals and campaigns with customer-facing employees; without that, it’s impossible to offer a unified customer experience.

Chief Revenue Officer

If the work of the CRO hasn’t been rolled into that of the CMO, this is a key person to align with.

Revenue officers are responsible for and measured on a company’s various revenue streams, so a key component of this alliance will be communicating the importance of strategies that win customers for life (and therefore, grow ongoing revenue streams).

While a CRO will likely be focused on hitting their numbers this quarter, the CMO must think about the customer experience over their entire lifetime with the company. So while the CRO might push for an end-of-quarter email blast, the CMO has to push back and emphasize the importance of ensuring all communications are hyper-personalized to avoid alienating customers.

To forge this connection, educate your CRO: 89 percent of financial services customers are more likely to do business with financial organizations that offer a personalized experience, and customers who find personalization “very appealing” are 10 times more likely to be among an organization’s most valuable.

IT Leaders

Like it or not, your website and electronic communication are primary ways your customers interact with you. For example, as many as 28 percent of retail bank customers engage with the bank only via digital channels. In the mortgage lending space, 75 percent of customers want digital applications.

But that doesn’t mean people are willing to sacrifice the kind of personalized experience they’d get by visiting their local branch: 52 percent of financial services customers want personalization when they visit your website and 39 percent expect a customized app experienced. And in lending specifically, 65 percent of people still want humans around to explain terms to them.

Plus, if your IT team maintains an external-facing help desk, customers will also communicate directly with IT team members when they’re most frustrated and vulnerable.

That means CMOs will have to work with IT leaders to make sure they understand the importance of customer tickets in their queue – and how to engage with customers in a way that will build brand loyalty. (Hint: getting the CRO on your side may help if you’re having trouble.)

One way to get buy-in from IT is to invest in software that enables you to make basic changes to your website and electronic communications without their input – that will save everyone time and energy.

Championing the Customer 24/7

While it’s good news that many financial services organizations now recognize the importance of investing in customer experience, it’s also critical to recognize that this industry is working against a trust deficit: between 2017 and 2018, customer trust in financial institutions fell 23 points (on a 100-point scale) in the United States.

That’s a disastrous decline. And it means the CMO’s ownership of customer experience is more important than ever to financial services organizations’ overall health. That remains a tall order, but the realities of the marketplace likely mean that leadership will recognize the importance of facilitating collaboration among various groups within the organization.

For today’s customers, hyper-personalization and relevance are essential to rebuilding trust, and CMOs can only make that available by working collaboratively with their colleagues.

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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.

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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.

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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.

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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.

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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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