Powerful Personalization Begins with Clean Data. But That’s Only the Beginning
By Shanda Purcell, senior director of open banking at CSI
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Executive Summary
- Targeted marketing offers have become table stakes in financial services — but they’re worse than useless when based on faulty data or misguided data analysis.
- Nailing the data is just Act One. Sussing out buying signs and signals from data points marketing in the right direction.
- With the help of subject matter experts, good data can be transformed into personalized pitches that come across more like timely advice than salesmanship.
Financial institutions don’t get to choose when their customers think about banking. That key moment typically happens only in the few minutes when an account holder pulls up their digital banking app — an opportunity that is as fleeting as it is promising.
Yet most community banks treat each interaction as an isolated event, missing the strategic opportunity to guide customers through a personalized lifecycle that transforms initial awareness into lasting advocacy and measurable revenue growth.
The challenge for bank marketers is clear: While customers think about their bank maybe a few times a week, banks must think about their customers constantly.
More than ever, the model of digital engagement that banking is now built upon requires analyzing data, preparing personalized experiences, and strategically positioning offers to capitalize on those brief windows when customers are focused on their financial lives.
Nothing damages customer trust faster than poorly targeted offers — like promoting an auto loan to someone who just financed a vehicle. These missteps don’t just waste marketing dollars. They signal that the institution doesn’t truly know its customers, undermining the relationships banks work so hard to build.
For community financial institutions, the path forward involves three critical areas:
- Ensuring data hygiene.
- Engaging subject matter experts.
- Implementing strategic use cases that convert relationships into revenue.
The Beginning: The Only Good Data is Clean Data
The foundation of any successful personalization strategy is clean, accurate data. Bank marketers must invest time in data cleansing and verification. Problems like outdated addresses, incorrect account classifications, or missing relationship connections will undermine even the most creative personalization efforts.
The impact of poor data quality extends far beyond the banking industry. Research from McKinsey concerning personalization marketing notes that “companies with faster growth rates derive 40% more revenue from personalization than their slower-growing competitors.” Driving that growth is the ability to maintain accurate, cross-functional data necessary to create relevant customer experiences.
However, clean data alone isn’t sufficient. Banks must combine accurate data with intelligent analysis that reveals customer needs and preferences.
This requires moving beyond basic demographic information to understand transaction patterns, life and financial milestones, and behavioral indicators that signal readiness for specific financial products.
Go Beyond the Marketing Department: Engage with Subject Matter Experts
A critical mistake many bank marketers make is treating personalization as solely a marketing function. Effective personalization requires input from subject matter experts across the organization who understand the specific data points relevant to their areas.
For example, successful banks establish clear review processes where the compliance function weighs in early, ensuring personalization efforts not only achieve marketing objectives but also avoid UDAP/UDAAP pitfalls and protect customer privacy. Balancing personalization with these guardrails reassures both regulators and customers that the bank’s use of data is responsible as well as effective. (The abbreviations stand for Unfair, Deceptive Acts or Practices, and the related term, rooted in the Dodd-Frank Act, Unfair, Deceptive, or Abusive Acts or Practices.)
A similarly overlooked step in personalization is securing the data itself. Banks must implement robust identity and access management systems to ensure that only authorized partners and internal users can access the information needed for personalization campaigns. This kind of security framework provides both customers and regulators confidence that personalization campaigns are executed as safely as possible while maintaining the data integrity essential for effective targeting.
Subject matter experts across lines of business can also provide invaluable insight into which fields in the core system are most reliable for segmentation, how products should be positioned for different customer segments, and what triggers indicate when a customer might be ready for a particular offer.
For example, a commercial lending officer understands that specific types of real estate transactions often precede the need for equipment financing. A mortgage specialist recognizes spending patterns that suggest when consumers are ready to buy a home.
A key strategy of the most successful community banks: Creation of cross-functional teams that include representatives from each product line, ensuring that personalization efforts reflect deep understanding of customer needs rather than surface-level demographic targeting.
The Payoff: Converting Relationships into Revenue
Attempting to personalize every aspect of communication at once poses problems. Alternatively, successful community banks focus on high-value use cases where open banking application programming interfaces give them a competitive advantage. Examples of such advantages: surfacing lending or savings offers at the right moment.
By connecting core banking data with fintech capabilities through open banking, personalization shifts from being a marketing aspiration to a practical, revenue-driving strategy.
Lending products, with their higher margins, represent particularly valuable personalization opportunities. When transaction data indicates a customer is house-hunting, the right mortgage conversation becomes a service, not a sales pitch. This allows community banks to compete effectively with larger institutions while meeting genuine customer needs. Mortgages and auto loans can also benefit from personalization through timely offers based on customer life events or spending patterns that indicate readiness to borrow.
Open banking APIs now make it possible for community banks to surface products in real time directly within a customized user experience within a fintech application designed by the bank. A capability that didn’t exist until relatively recently in banking, APIs are the foundation of modern personalization strategies enabling banks to act on customer data quickly, connect seamlessly to fintech partners, and deliver offers exactly when customers need them.
The perennial challenge of identifying the “next best product” for each customer becomes significantly more manageable with proper data analysis and personalization. Younger generations in particular expect it.
When implementing personalized marketing campaigns for any product type, bank marketers should establish specific, measurable objectives. Other key steps include:
- Clearly defining target audiences using clean data.
- Developing personalized messaging for each segment.
- Selecting the appropriate marketing channels.
- Implementing tracking mechanisms.
- Incorporating compliance review throughout development.
Producing Digital Engagement with a Human Touch
While digital channels deliver increasingly higher engagement rates, the most effective personalization strategies recognize that many account holders still desire human interaction with their financial institution. The power lies not in choosing between digital and personal channels, but in blending them strategically.
Digital channels provide immediate feedback on campaign effectiveness, allowing for rapid optimization. Yet for intricate financial decisions like mortgages or investment products, customers frequently prefer human guidance to complement their digital research. The combination of digital and human engagement, powered by the right data, convinces account holders that their bank truly knows them and that there’s a real person ready to build that relationship.
This hybrid approach transforms transactions into relationships. For example, a personalized digital alert about a customer approaching a home-buying milestone becomes more powerful when paired with the option to speak with a mortgage specialist who already understands the prospect’s financial situation. Community banks that excel will capture the balance between digital efficiency and preserving the personal touch that has traditionally differentiated them from larger institutions.
Getting Started: Your Personalization Roadmap
For bank marketers ready to move from data reluctance to revenue, begin with a thorough audit of data quality, focusing on fields that will drive your initial personalization efforts. Form cross-functional teams including subject matter experts from relevant business lines, IT and compliance to identify valuable data points and document customer segments.
Choose one high-value offering with clear revenue potential as your starting point. Develop targeted messaging for two to three key customer segments, implement measurement tools, and begin with a limited campaign to evaluate effectiveness before scaling.
The most successful implementation approach recognizes that personalization isn’t just a technology challenge — it’s a strategic commitment to understanding and serving individual customer needs throughout their entire banking relationship.
