Bank customers today expect digital experiences tailored to their situation. At the same time, they expect their financial data to be protected, handled transparently, and used responsibly. For banks, this creates a real tension. Too little personalization feels irrelevant. Too aggressive, and it erodes trust. The answer isn't to avoid personalization. The answer is to
In retail banking, acquisition is often managed with high priority. Campaigns, landing pages, product comparisons, performance marketing, and conversion flows are continuously optimized. But once an account is opened or a card applied for, the momentum frequently fades. That's a risky pattern. Because the first weeks after sign-up determine whether a new customer becomes an
Many companies still approach AI in customer service as a plug-and-play tool: implement, automate, scale. In banking and insurance, however, this approach quickly leads to regulatory and reputational risks. Because a different logic applies here: The more sensitive the request, the higher the requirements — and the clearer the limits of automation. A recent McKinsey study shows
Banks are sitting on one of their most valuable, yet least exploited resources: transaction data. Millions of bookings provide daily insights into consumer behaviour, life situations, risks and opportunities — but mostly in a form that is not directly usable. “Transaction Data Enrichment” describes the process of systematically refining this raw data: through AI, classification
How intelligent AI agents are transforming the front-end of banks – and why the new book “Digital Dimensions in the Financial Industry” is being published at exactly the right time. The financial sector is in the midst of a decisive transformation. The new book “Digital Dimensions in the Financial Industry” from Frankfurt School confirms this
Within the Customer Lifecycle Management (CLM) of banks, the question is no longer what is communicated – but how. While many institutions still rely heavily on email as their primary customer communication channel, real-world behavior tells a very different story: each generation interacts with banks through different channels, with different expectations and levels of tolerance.
AI assistants are here – and they’re being used differently than planned Banks are increasingly deploying AI assistants to give customers and employees fast access to information. One of the most widespread use cases in 2026: FAQ assistants that access publicly available data on products, services, and company information. The idea is simple and safe:No
The industry talks about personalization – but usually means segmentation For years, personalization has been one of the most frequently used terms in insurance marketing. In practice, it often translates into finer target groups, more segments, and better clusters. What the market expects today is something fundamentally different. Not better-defined audiences, but relevance at the
In many markets, the credit card business has reached a point of saturation. The number of issued cards continues to grow, but the real growth potential no longer lies in issuing more cards. It lies in how actively those cards are used. For credit card issuers, competitive advantage today is no longer defined by reach,
Banks have invested heavily in digital transformation. Yet one of the most powerful personalization assets is often underutilized: transaction data. Every bank account transaction, every credit card payment and every merchant category provides direct insight into customer behavior, needs and life situations. From Raw Transactions to Transaction Intelligence Transaction data is not just accounting information.