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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Joe also highlighted that speed and speed alone will not set you apart. Context will be the critical differentiator in an AI-enabled world. Being the first one to engage a borrower is great, but only if you actually have something to talk about. Historically, a legacy database only knew what a person remembered to type into it. If that information wasn't captured, the system, and the loan officer, wouldn't be able to use it for the next conversation.

Context is king, and the mindset shift that gets you there

This is where Joe took the conversation from diagnosis to direction. Total Expert's Customer IQ continuously aggregates zero-, first-, and third-party data to create a complete financial profile and interaction history for every customer. This provides lending teams with the context they need at the exact moment it matters, whether that's to a loan officer having a conversation or an AI agent handling a task automatically.  

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Rather than layering on more tools, USA Mortgage decided to consolidate. They brought all their leads from referral partners, purchased sources, and past customers into a single unified platform: Total Expert's Lead Management.

But consolidation was just the first step toward preventing leads from slipping through the cracks. The real shift came when they connected three capabilities:

1. Customer IQ: identifying opportunities in your existing database

Most loan officers don't excel at proactively reaching out to past customers. They're focused on today's purchase business, and without a system to surface opportunities, past borrowers fade into the background.

Customer IQ changes that. It's a contextual data system that continuously monitors and enriches every contact record in your database. When a borrower experiences a life or market event that creates an opportunity such as a rate drop (refinance window), a credit inquiry from another lender, a debt threshold crossed, a marriage or divorce, Customer IQ spots it and brings it to your team’s attention.

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Lead Management provided:

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  • Consistent routing based on originator or branch
  • Automated nurture campaigns for borrowers who weren't ready yet
  • Compliance controls to ensure messaging is consistent and compliant

Suddenly, loan officers could answer three simple questions about every opportunity: Who is the lead? What do they need? Why is the opportunity present right now?

That context—that "why"—changes everything. It's the difference between a cold check-in call and a conversation-ready outreach.

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Even with a unified system and better intelligence, loan officers still can't personally call every past customer when the market shifts. If rates drop and 1,000 borrowers become in-the-money for a refi, even the most efficient lending teams can't operationalize that in the two or three weeks when the market window is open.

Enter AI Sales Assistant, a human-like voice AI that’s powered by Customer IQ’s contextual data and trained on real-world mortgage conversations so it can answer questions, navigate borrower objections, and qualify opportunities.

AI Sales Assistant acts as an extension of lending teams by:

  • Initiating outreach to all qualified past customers (potentially in a single day)
  • Personalizing the conversation based on the borrower's situation, previous transaction, and estimated savings
  • Handling objections gracefully (Alec shared the story of a borrower who said "I'm feeling sick, not a good time.” AI Sales Assistant responded with empathy and offered to schedule with the loan officer later, which the borrower accepted)
  • Offering warm transfers to the loan officer for borrowers ready to talk
  • Scheduling meetings on the originator's calendar for qualified leads

This allows loan officers to focus their time on high-quality conversations with informed borrowers, not figuring out who to call or manually working through a database.

Real-world execution

One of USA Mortgage's senior regional VPs shared a success story that perfectly captures the shift:

An experienced loan officer received a credit inquiry alert for a past customer; someone she hadn't worked with in years. The borrower had lost the loan officer’s contact information. But thanks to the alert surfaced by Customer IQ, the loan officer reached out with context and relevance.

The result? A $400K pipeline boost with minimal effort from the loan officer.

This doesn't happen with a generic check-in call. It happens when the loan officer knows why they're calling and has the data to back it up so the outreach feels timely instead of transactional.

The bigger picture: human + AI operating model

What USA Mortgage discovered is that the future isn't human or AI. It's human + AI.

The loan officer remains the relationship owner and builder, the decision-maker, the one who earns trust. But now, they're equipped with:

  • Intelligence about who to engage and why
  • Automation handling the high-volume, time-sensitive outreach
  • Consistency across the entire organization
  • Tools that make their job easier, not harder

Three takeaways

If you're struggling with lead follow-up, originators working in silos, or deals slipping out the back door, here's what to focus on:

1. Strong lead management isn't just about speed—it's about long-term nurturing
Speed matters for converting hot leads, but most conversions happen in the follow-up. Build a nurturing strategy that keeps borrowers engaged from first touch through the next opportunity to serve.

2. Your database is your biggest opportunity; operationalize it like a referral partner lead

‍If you're not connecting data intelligence with lead management, you're leaving deals on the table. Treat past-customer insights with the same urgency and structure as a purchased lead or referral partner referral.

3. Build an enterprise strategy with human + AI models

‍Replace ad-hoc originator habits (spreadsheets, personal reminders, disconnected systems) with a unified, AI-assisted operating model. Consistency across your sales force is what unlocks scale.

Watch the full conversation

Hear how USA Mortgage is using Total Expert to solve their lead management challenges, develop a better understanding of their customers, and engage opportunities at scale.

Ready to explore how a human + AI operating model could transform your originator productivity and customer conversions?

Reach out to your Total Expert Customer Success Manager or book a demo with our team below!

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