Customer Engagement

How Modern Marketing Has Changed Banking Forever

5 mins read
February 26, 2019
By
Total Expert

Everywhere you look, change is in the air: new channels, new technology, more data, increased expectations.Marketing has undergone major shifts in recent years and the pace of change will only continue to accelerate.

All these changes to marketing require banks to not only adopt new technology solutions but also embrace new skillsets if they hope to stay relevant and keep up in an industry poised for consolidation and disruption.

Challenger banks and fintech organizations have entire systems engineered around the seamless digital experiences consumers have come to expect and they don’t struggle with their legacy – or legacy systems.

So, what should today’s banking CMOs keep in mind as they navigate this new Era of Marketing?

Here are three ways modern marketing has changed the banking industry – and what you’ll need to keep in mind to help your relationship managers embrace their new reality.

1. More Automation Shouldn’t Mean Less Personalization

Done right, social media, e-mail, chatbots, online banking and marketing automation keep us in constant contact with the world around us. Done wrong, all these channels just create more noise and disengage customers, squashing the brand loyalty and lifelong customer relationships that come from face-to-face interactions.

It can be tricky to navigate. Consumers are demanding digital services that cater to their sense of urgency but still want that “personal touch,” with access to hyper-personalized human advice when they need it.

The challenge is to balance the two.

As a marketing leader, it’s your job to empower your relationship managers and customer-facing teams by supporting strong personal brands at the local level. Provide them with scalable campaigns they can use to educate, upsell and cross-sell to customers when it makes sense to do so. Most consumers prefer working with relationship managers who “get them” rather than generic recommendations based on broad demographics. Modern technology, particularly intelligent automation, makes it possible to reach the consumer with the right message at the right time and place – physical or virtual.

2. More Data Shouldn’t Result in More Confusion

Banks are sitting on mountains of data: data on risks associated with the market, liquidity and credit as well as customer data generated from decades of interactions and transactions.

However, what’s a mountain of data without insight? A pile of numbers.

Banks can transform that data into meaningful information and leverage insights to market the right products and services to new and existing customers, boosting sales, retention – and the bottom line. It’s not enough to simply gather raw data across multiple, disparate systems.

Executive leadership must develop a clear strategy to capture, process and analyze those numbers across a single, trusted solution. The emphasis on mining troves of data for actionable insights means banks will also have to focus on upgrades or invest in best-of-breed technology solutions – and partners – that can process, analyze and transmit that information beyond what is in place at most organizations.

3. Greater Innovation Means Fiercer Competition

Trust in a brand – particularly in the banking industry – is no longer determined by how long it’s been around. A report from Scratch, a team operating within media company Viacom, revealed one-third of the 10,000 people surveyed believed they would not need a bank at all in the future.

In addition to consumer pressure to innovate around products, services and, above all, the customer experience, tech giants such as Amazon are venturing into the industry. Bain & Company reports 65 percent of Amazon Prime respondents would try a free online bank account offered by Amazon. The very thought of Amazon bank accounts should strike fear into the hearts of banking executives across the country.

Traditional banks can still win – on one condition: Banks must stop competing with fintech and opt to partner with them instead.

Most customers still identify traditional banks as their primary financial relationship – not to mention the firm grasp traditional banks have on the regulatory landscape. In turn, fintech companies excel at innovation and delighting the customer. Together, banks and fintech companies will find their competitive advantage.

Conclusion: Leveling Up for the New Era of Marketing

Marketing has changed banking forever. While it may seem like those changes have been driven by digitization, it’s actually a shift from volume to value. For the first time, the banking industry can elevate marketing to the role of a strategic partner capable of driving top-line growth and brand loyalty. In this strange new world, the biggest threat facing banks is inaction.

How will you change your marketing mindset to keep pace with the modern demands of your consumer?

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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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Where enterprise AI goes wrong

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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.

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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.

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

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