Tag: Machine Learning

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

Introduction: In a data-driven financial world, it’s crucial not only to acquire new customers but also to continuously monitor and encourage their activity. Acceleraid’s Activity Level Score shows credit card issuers how active their customers are within a defined timeframe — providing valuable insights on when and how to engage customers proactively to prevent churn

Products: Trigger & Automation Engine 2.0 & Predictive Segments In an era of real-time communication, digital touchpoints, and increasing customer churn, one thing is clear: If you want to build lasting customer relationships, you need to act faster and smarter than ever before. Customer Lifecycle Management (CLM) is the key – data-driven, automated, and personalized in