Key takeaways in this article:
- The “Digital Warmth Gap”: Modern banking has lost the personal touch of the physical branch. Leaders are now using data to bring that “human conversation” back into digital channels.
- Crawl, Walk, Run: Success isn’t about immediate perfection. It’s an incremental journey starting with basic relevance (Crawl), moving to behavior-based personas (Walk), and ending with real-time AI intent signals (Run).
- Breaking Silos: 54% of institutions are held back by fragmented data. An “activation layer” is required to turn raw data into categorized, actionable insights.
- AI as an Enabler: Artificial Intelligence isn’t replacing staff; it’s allowing neobanks to humanize the experience for millions of users simultaneously through hyper-personalization.
In the current financial landscape, the most successful banking professionals are moving away from purely transactional digital experiences. The consensus among industry leaders is clear: the future of banking lies in replicating the meaningful, individual conversations once held in physical branches and scaling them through the digital space.
Juan José Gómez
CMO of Coinscrap Finance
For decades, the local bank branch was the heart of financial life. Tellers knew when a customer’s child was heading to college or when a family had finally saved enough for a down payment. Today, that relationship has moved to the smartphone, but the “warmth” often stayed behind in the brick-and-mortar office. The challenge for modern neobanks and established institutions is to bridge this “digital warmth gap” using the only tool they have in abundance: data.
Personalization is a journey, not a switch
A common pitfall identified by digital transformation heads is the “all-or-nothing” approach. Many institutions delay personalization efforts because they believe they need a perfect, 360-degree view of the customer before they can even begin. However, the most respected voices in the fintech sector advocate for the “Crawl, Walk, Run” methodology.
1. Crawl: The foundation of relevance
In the “Crawl” phase, the goal is not to predict the future, but to stop being irrelevant. Banking professionals suggest starting with low-stakes, high-impact data. This includes distinguishing between “known” and “unknown” web visitors or using basic geographic data.
For instance, simply acknowledging a user’s local region through tailored imagery or community-specific news can increase engagement metrics significantly. It is about proving the value of small changes to stakeholders before requesting larger budgets for complex AI integrations.
2. Walk: Moving from segments to personas
Once the foundation is laid, the “Walk” phase involves the creation of data-grounded Personas. Professionals are moving beyond traditional demographics (age, income) toward psychographics and behavioral patterns.
Are we talking to a “Secure Planner” who prioritizes long-term stability, or a “Digital Native” looking for instant gratification and seamless UX?
By identifying these personas through transaction history and app behavior, neobanks can begin to tailor the tone of voice and the products offered. At this stage, the “conversation” begins to feel less like a broadcast and more like a dialogue.
3. Run: The real-time flywheel
The “Gold Standard” is the “Run” phase, where a continuous data flywheel is established. In this stage, the institution isn’t just reacting to who the customer is, but to what the customer intends to do.
By identifying “intent signals”—such as a sudden increase in savings, or multiple visits to a mortgage calculator—the system can trigger a real-time intervention. This is where personalization meets peak efficiency, providing the “Next Best Action” (NBA) that feels like a helpful suggestion rather than a cold sales pitch.
Overcoming the 54% friction: The data silo problem
Despite the clear benefits, industry research indicates that over 54% of financial institutions identify siloed data as their primary obstacle. Banking professionals are increasingly vocal about the frustration of having vast amounts of data trapped in disparate systems: the core banking platform, the credit card processor, and the independent loan origination system.
Without a unifying layer, the customer appears as a different person to every department. This is exactly where Coinscrap Finance provides a decisive competitive edge. Our technology acts as the sophisticated “activation layer” that sits atop these warehouses.
💡 Did you know that…
Personalization is no longer a “nice-to-have” feature; thanks to the standards set by global tech giants, it is now the baseline expectation for 2026 banking consumers.
By integrating our AI-driven engine via API, neobanks and financial entities can finally unify these streams. We don’t just store data; we enrich it. Our engines clean and categorize raw transactions, turning cryptic merchant strings into clear insights like “This user spends 15% of their income on subscription services” or “This user’s grocery spending has increased by 20% due to inflation.”
AI as a scale accelerant, not a replacement
There is a lingering myth that AI and personalization will lead to the “dehumanization” of banking. On the contrary, banking leaders argue that AI is the only way to humanize at scale.
A human advisor can manage 50 deep relationships; an AI-powered engine like those developed by Coinscrap Finance can manage five million. By using AI as an accelerant, marketing and product teams can:
- Automate content generation: Creating hundreds of variations of a message to ensure every persona feels spoken to individually.
- Predict attrition: Identifying patterns of “disengagement” before a customer decides to close their account.
- Hyper-personalize offers: Moving beyond the generic “Apply for a credit card” banner to a specific “Save $50 a month on your insurance” insight.
The ROI of “digital warmth”
Ultimately, personalization is a business imperative. Banking professionals are reporting that relevant, data-driven interactions lead to a measurable lift in conversion rates and, more importantly, long-term loyalty. In a world where neobanks are a dime a dozen, the winner is the one that makes the user feel understood.
As we look toward 2026, the baseline has shifted. Personalization is no longer a “special project” for the innovation lab; it is the core of the banking experience. Those who continue to operate in silos will find themselves relegated to being “utilities,” while those who embrace the “Crawl, Walk, Run” journey with partners like Coinscrap Finance will own the customer relationship.
About this article
This piece was developed and synthesized based on the strategic insights and expert contributions shared during the recent industry webinar: “From Data to Dollars: Personalization that Drives Growth”. Special thanks to the thought leaders from St. Mary’s Bank and SilverTech for providing the foundational “Crawl, Walk, Run” framework and the real-world data points that shaped this analysis.
At Coinscrap Finance, we are committed to continuing these conversations to help neobanks and traditional institutions turn expert theory into scalable digital reality.
About the Autor
Juan José Gómez is CMO at Coinscrap Finance, where he leads the marketing team and manages the fintech’s global communication strategy. With over 15 years of experience in the industry, he specialises in financial technology.
His responsibilities include setting goals and strategies, organizing events and webinars, coordinating with the sales team, and hosting The Fintech Podcast.
He holds a degree in Advertising and Public Relations, as well as several Master’s degrees in Online Marketing and Social Media. In addition, he has extensive experience in inbound and growth marketing, content marketing, SEO, PPC, web analytics, automation, and Power BI.
