Marketing Automation

Three Personalization Fails that Dehumanize Your Financial Brand

5 mins read
September 26, 2019
By
Total Expert

If your financial brand is succeeding, it’s likely you’re taking steps to personalize your marketing campaigns to provide a better experience for your customers or members.

Whether you’re sending customized subject lines or segmenting your email lists, you’re also probably aware that there’s a slim margin for error. Your ability to retain customers depends on your successfully toeing that line.

There’s no shortage of gaffes when it comes to personalized marketing. Most of these errors come in some form of showing your customers or members that you’re using automation without taking the time to follow up. Without that human element, these personalization gaffes leave consumers feeling cold and can cost you their trust.

Here are a few common personalization fails marketers too-often commit and a few tips to help you avoid them.

1. You Don’t Even Know Who You’re Talking To

One of the most common errors is one of the biggest deal-breakers: Do not get your customer’s name wrong once it has been provided. Whether you’re answering a call from someone who’s already provided you with their name and email address or you’re sending out an automated email, your system should be foolproof.

Get your first-name tags cleaned up in email campaigns, at a minimum. Someone who receives an email addressed to Fname is unlikely to trust that company with their financial well-being.

And do not ask for someone’s contact information once you’ve reached out to them. If they’ve filled out a form, you should have that information for your next interaction, whether it’s in person or digital.

Your financial brand relies on a foundation of trust; confusing one customer for another or simply not knowing something you should (like their name), is worse than a missed opportunity.

2. The Offers and Messages You Send Aren’t Relevant

Demonstrate that you understand your customers’ or members’ behavior by serving them relevant, timely content. Messages that don’t check either of those boxes risk exposing your financial brand as one that doesn’t pay attention to who it’s targeting.

Think about how easy it is to lose a customer’s trust by sending a message that just doesn’t apply to their financial needs. Say a customer who has held active savings and checking accounts with the same national bank for the past ten years receives an email from their bank inviting them to enjoy a $100 bonus when they open their first savings account in the next 30 days.

This is a real situation – it’s an offer multiple members of our team received this week. It misses the mark, and it leaves these customers feeling like their bank doesn’t even know they exist. Instead, financial brands should leverage their automated communications capabilities to cross-reference data and send along information that supports their customers or members.

Imagine if the same bank had used that email to offer customers who’ve been banking with the brand for over a decade a CD offer with a great interest rate. Instead of losing hard-earned trust, the financial brand would have deepened their customers’ relationship with the brand. This kind of timely, relevant follow-up can wow customers and keep them in your marketing flywheel. And that’s the goal.

3. After Onboarding, You Disappear

Put yourself in your customer’s shoes: Imagine you’ve just signed a mortgage. For the past several months, you’ve been in regular contact with your mortgage loan officer. You’ve never spent so much time on your bank’s website in your life. And then, you close.

What happens after closing sets the tone for this customer’s relationship to your financial brand for decades to come: Congratulate them immediately after closing via text and follow up with a personalized card in the mail. But don’t stop there. Educate them on various types of insurance they might consider. Show them how to pay off their mortgage, faster. Simply put, set up an onboarding workflow to take new customers or members from closing through the first year.

A smart communications plan will guide customers back to your site to explore other products or services that might help them. Unless you nurture their relationship with your financial brand, you aren’t likely to see this grow in the long-term. It’s simple: If you disappear, eventually, so will they.

Leverage Personal Communications to Humanize Your Financial Brand

Personalization without a human touch can leave consumers feeling skeptical about the brains behind the organizations they trust with their finances. And it’s crucial to maintain a strong record with your customers when it comes to this pillar of your organization.

The power of an interaction in which a customer or member feels their needs are understood by the financial brand they trust is memorable. And these memories supercharge positive associations your customers or members already have with your financial brand.

Empower your relationship managers or loan officers with the technology to avoid gaffes and deliver these great experiences to boost your financial brand.

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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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