Customer Engagement

Bank Marketing Pitfalls Part 1: Failure to Define Customer Personas & Remove Data Silos

5 mins read
April 3, 2019
By
Total Expert

Banks are continually evolving to leverage new technology and meet rising consumer expectations for convenience, value and personalization.

Whether in-person or online, customers demand personalized engagement that makes them more confident in their financial decisions. In exchange, customers will offer their loyalty.

To build trust and increase customer lifetime value, bank marketers must go above and beyond customer expectations while avoiding common marketing pitfalls.

In part one of our three-part series, Total Expert details how banks must define their customer personas and remove enterprise data silos to create personalized marketing and engagement that boosts customer loyalty.

Pitfall #1: Failure to Define Customer Personas

To attract and retain customers, you need to understand what makes your customers tick. Banks have mountains of customer data – from checking accounts to credit scores to demographics and need to leverage this information to define and understand their target customers.

Banks that lack data-rich customer personas are at a disadvantage when it comes to personalizing their marketing. The less you understand your customer, the less you’re able to anticipate their needs with elevated experiences, which leads to higher conversions and higher customer retention, which results in revenue and profitability growth

Blindly sending customers messaging that is neither relevant or helpful is a great way to lose trust and harm customer loyalty.

And with so much data at your fingertips, banks must bring order to their data chaos.

Personas help banks understand their customer on a deeper, more personal level, so they can respond to the needs of consumers in a way that feels natural and spontaneous, not canned or impersonal. The reward? Better business outcomes.

For better customer personas, banks must focus on data that speaks to three key areas: financial literacy, engagement and preferences.
  • Literacy – Banks must consider each consumer’s financial intelligence when marketing across their products and services. Messaging that requires deep knowledge on the part of the customer may fall on deaf ears.

Once you’ve developed personas catered to levels of financial literacy, banks can better target customer messaging that educates and improves financial outcomes, building consumer trust.

  • Engagement – Banks must craft personas that reflect a consumer’s overall engagement with your bank’s brand. Past behaviors – like page views or opening new accounts – typically correspond with life events and future intentions. By monitoring how consumers engage across the customer journey, banks can infer motivations and better personalize their outreach.
  • Preferences – Banks should keep a close eye on the specific marketing elements their customers favor, including preferred channels, products and services, even time of contact. With these preferences in mind, you can fine-tune your personas to drive better results.

For most banks, crafting persona marketing strategies should be a “walk-before-you-run” endeavor, as new data and content will force you to re-evaluate as you go.

Focusing on how customer literacy, engagement and preferences shift will be a positive step towards personalizing the customer experience and avoiding this common pitfall.

Pitfall #2: Failure to Remove Data Silos

Another barrier for bank marketers is silos of customer data. Legacy systems and rogue solutions prevent banks from connecting all their customer information in one place and gaining the ever-elusive 360-degree view of the customer.

Data silos act like vaults for your enterprise systems — and if each “vault” is walled off from the other, it’s nearly impossible to leverage the richness of all your customer information.

Banks that fail to remove data silos are missing out on greater ROI from their technology solutions and falling behind competitors that have integrated their sales and marketing organizations and tech stacks.

Disconnected data across closed APIs or enterprise systems can have other avoidable consequences, too:
  • Missed opportunities – Having an incomplete picture of your customer blinds you from otherwise profitable opportunities. Banks that have a clear view of their customers’ accounts, activity and life events are more capable of anticipating customer needs and meeting their rising expectations in the future.
  • Poor customer experience – Disconnected data creates needless barriers between your customer and your services, such as missed preapprovals or out of place messaging. By connecting enterprise data (across all channels and all departments) banks can elevate their brand with data-driven outreach that is relevant and reduces friction.
  • Lower lifetime value – Banks that lack a 360-degree view of their customers struggle to earn repeat business. That’s because customer value is highest across a lifetime of transactions — but, to build that lifetime loyalty, banks need data insights that anticipate customer needs and serve relevant messaging across life events.

Leveraging your database (or “customer-base”) fully enables banks to become a central financial partner by helping their customers understand make better financial decisions in the future.  

Conclusion

To better serve customers, and to bolster marketing ROI, banks must improve customer personas and remove data silos to reduce friction across the customer journey.

Modern consumers expect their financial institutions to use data to understand them better and deliver one-to-one messaging based on their current life events. Banks must appeal to this consumer preference to avoid these common marketing pitfalls.

Watch for part two of our bank marketing pitfalls series soon on the Total Expert blog.

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But here’s the thing: we’re at a turning point. What got us here, the strategies that helped us retain and grow in the past, are no longer good enough. You might say it is necessary, but not sufficient, and the cost of waiting is higher than the cost of change. The forces reshaping our industry aren’t on the horizon; they’re sitting at the table. AI technologies, increasingly complex compliance, mergers and acquisitions, shifting consumer demands. It’s not a question of whether we’ll adapt, it’s whether we’re adapting fast enough.  

That’s why, at Accelerate, Joe and I introduced the concept of the “new necessary” as part of our Aim Higher conference theme. Staying relevant (and competitive) requires more than awareness, automation, or clever content. It requires deep, enterprise-ready context that powers systems of intelligence and action. Systems where originators and AI work together in sync—always on, highly consistent, endlessly scalable. Your feedback, and the results we’ve seen so far, tell me we’re on the right track. And. Have a lot to do!

Throughout the conference, I spoke about four pillars of focus: Strengthening the Foundation, Customer IQ, Lead Management, and AI. Here’s a quick tour.

Strengthening the Foundation

This year, we doubled down on the foundation of Total Expert: improving core capabilities, enhancing performance, expanding our ecosystem, evolving user experience. At Accelerate, we demonstrated real progress: faster email delivery, more tools to utilize SMS, automated marketing packages, Sales Manager Dashboards, and new integrations. That’s great progress. More is necessary. We are on it!    

Customer IQ

Agentic AI enables business value when it’s fueled by rich, accurate, and timely context.  The insights and enrichment from Customer Intelligence is necessary and drives great business outcomes. However, more is needed to take full advantage of what’s possible with AI Agents acting as high-performing members of your team rather than wasting time and money on bland generic agents operating with limited context.

That’s why we announced Customer IQ. We are deepening our commitment to dramatically increase context across four dimensions; enrichment and insights, consent, contact/customer information, and relationship history.  As an early example, in December we’ll be releasing new capabilities to enable the collection and aggregation of consent from multiple systems directly into Total Expert. That means our AI Sales Assistant can instantly understand consent and act on it- accurately and efficiently. More context expansions are already queued up for 2026.

Lead Management: Reimagined

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Agentic AI and AI Services

At Accelerate, we showcased real results from the AI Sales Assistant. Four use cases are live today, and we’re handling millions of calls each month. This volume has accelerated performance most importantly, customer results. With the right combination of context, industry expertise, and integrations into business processes, we’ve unlocked a recipe for success. We’re continuing to expand on this, with exciting new use cases on the horizon.

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This is the new necessary.  

I’m incredibly fired up about our vision, our momentum, our roadmap, and the amazing work we get to do alongside our clients, partners, and teammates. At the end of the day, it’s not about the technology. It’s about the business value it enables. The customers who are leaning into what we’re building are becoming more competitive. Those that aren’t risk falling behind.

I hope that Accelerate, this post, and our community give you the inspiration and insights you need to chart your next steps toward the new necessary—the why, the how, and the when.  

Thank you, as always, for your feedback, your drive, and your partnership. Let’s keep moving toward the perfect customer journey!

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Even close borrower relationships are growing more complex

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Borrowers expect to feel “known” across every channel; they want the same feeling of 1:1 personalization at every touchpoint. And it’s becoming a genuine challenge for smaller lenders to juggle all the information and orchestrate these hyper-personalized omnichannel experiences.

Using Customer Intelligence + marketing automation to enhance personal borrower relationships

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Smaller lenders driving big value: Customer Intelligence case studies

Dart Bank

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Tucson Federal Credit Union (TFCU)

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Family Savings Credit Union

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Horicon Bank

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Tech- and data-driven strategies have proven over and over that they have the ability to help deepen personal relationships for smaller credit unions and community banks. Our customers are proving that size doesn’t have to be a barrier. It can be an advantage that allows organizations to move quickly, leverage powerful tools like Customer Intelligence, and deliver authentic, personalized experiences at scale.

Learn more about Customer Intelligence and how it can drive consistent growth by enhancing your member and customer relationships.

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Catch the full conversation on Dark Matter Technologies' website >

Unlocking the Mortgage Ecosystem

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