Introduction In a market where customer loyalty and profitability are key, it’s not just about maximizing short-term spending. The crucial question is: How travel-oriented is a customer – and how can that be monetized? The Travel Affinity Score provides a data-driven answer. It measures the degree of travel-related activity based on geo-referenced transactions and enables
Einleitung Im Wettbewerb um loyale und profitable Kunden reicht es nicht, kurzfristige Umsätze zu maximieren. Entscheidend ist die Frage: Wie viel ist ein Kunde wirklich wert – heute, morgen und übermorgen? Der Customer Lifetime Value (CLV) liefert darauf die Antwort. Er berechnet den langfristigen Ertrag eines Kunden – und gibt Kreditkartenanbietern die Möglichkeit, Budgetallokation, Kommunikation
Einleitung Im Wettbewerb um loyale und profitable Kunden reicht es nicht, kurzfristige Umsätze zu maximieren. Entscheidend ist die Frage: Wie viel ist ein Kunde wirklich wert – heute, morgen und übermorgen? Der Customer Lifetime Value (CLV) liefert darauf die Antwort. Er berechnet den langfristigen Ertrag eines Kunden – und gibt Kreditkartenanbietern die Möglichkeit, Budgetallokation, Kommunikation
Introduction In digital marketing, it’s not just what you say – it’s when you say it. Acceleraid’s Delivery Timing Optimization determines the ideal time window for customer outreach. Instead of relying on guesswork, this optimization uses machine learning and behavioral data to deliver content at the exact moment when customer attention and interaction probability are
Introduction In the highly competitive credit card market, success isn’t just about revenue – it’s about retention. Acceleraid’s Churn Prediction Score identifies users at high risk of attrition long before they go inactive or close their accounts. By analyzing digital footprints, transactional behavior, and machine learning predictions, this score provides actionable insights for early, automated
Introduction In today’s highly regulated financial market, credit card issuers must understand their customers’ payment behavior early on. The Revolving Probability score by Acceleraid identifies which users are likely to pay only part of their credit card balance – a key signal for risk management, revenue forecasting, and lifecycle-driven engagement. By leveraging transaction data and
Introduction: In a data-driven financial world, it is becoming increasingly important not only to acquire customers but to understand and retain them over the long term. Acceleraid’s Variety Score shows credit card issuers how broad or narrow their customers’ purchasing behavior is across different product categories – and where targeted cross-selling opportunities arise. What is
Introduction: In today’s competitive credit card market, speed and precision are key. Being able to detect even the smallest behavioral changes early can make the difference between a loyal customer and a lost one. Acceleraid’s Relative Activity Change Score enables credit card issuers to identify micro-shifts in transaction behavior—especially among low-activity users—and act with personalized,
Introduction: In the competitive world of credit cards, it’s crucial not only to understand a customer’s current behavior, but also its dynamics. Acceleraid’s Absolute Activity Change Score enables credit card issuers to detect changes in transaction behavior early — helping them proactively reduce churn and capitalize on growth signals. What does the Absolute Activity Change
Individual Campaign Targeting in Customer Lifecycle Management What makes this method special? Not every customer responds the same way to the same message. With scoring-based content optimization, you analyze the subtle differences within your target groups – and automatically deliver the right campaign variant to exactly the right sub-group. The system identifies, based on defined