Customer Lifecycle Management Scores: Activity change (absolute)

Making Behavioral Dynamics Visible – with a Precise Score for Customer Lifecycle Management What does the score measure? The “Absolute Activity Change” score measures how much a user's activity level has changed within a specific time period — in concrete, absolute terms. For example, 5 more transactions or 8 fewer than in the previous period.

Customer Lifecycle Management Scores: Activity change (relative)

Detecting Percentage-Based Behavioral Change – for Targeted Customer Journey Automation What does the score measure? The “Activity Change (Relative)” score calculates how much a user’s activity level has changed compared to the previous period – in percentage terms. This percentage-based view is particularly well-suited to revealing behavioral changes in moderately active users. A small absolute

Customer Lifecycle Management Scores: Content Optimization

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

Customer Lifecycle Management Scores: Activity Level (Transactions)

A Central Score for Data-Driven Customer Lifecycle Management What does the score measure? The score “Activity Level (Transactions)” indicates how active a user is within a defined period – for example, over a month or a quarter. The basis is the number of transactions per user: the more transactions, the more active the user. The

Customer Lifecycle Management: Real-Time, Scores & Smart Retention

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

AI agents are revolutionizing customer lifecycle management in retail banking

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In the banking world of the future, artificial intelligence will become a decisive competitive factor. As experts in AI solutions for the financial sector, we at Acceleraid observe the transformative power of intellogies. After more than 15 years of experience and over 200 projects with AI, we have developed a clear understanding of which approaches

Agent-based orchestration: The game changer in customer lifecycle management

The future of process automation has arrived – and it's called AI Agent. Combined with intelligent process orchestration, AI-driven agents offer companies a unique opportunity: to make automation not only more efficient, but also more flexible, scalable, and customer-centric. What is process orchestration – and why is it so important? Automated business processes rarely consist

Customer Lifecycle Management vs. CRM: What’s the difference – and what do you really need?

Many companies invest in CRM systems – yet only a few succeed in building long-term customer relationships. Why? Because CRM is only one piece of the puzzle. Anyone who wants to retain customers throughout their entire journey needs a more strategic approach: Customer Lifecycle Management (CLM). In this article, we explain how CRM and CLM

Predictive Churn: How to identify at-risk existing customers before they cancel

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In many companies, the focus is still too heavily on acquiring new customers. However, the real leverage lies elsewhere: in the proactive management of existing customers. Identifying at-risk customers early and targeting them to retain them not only improves customer relationships but also achieves measurable effects on revenue and profitability. The key to this? Predictive

Methods and Technologies in AI-Driven Up- and Cross-Selling

A structured overview for data-driven revenue generation in customer management In digital sales, relevance is key—not just for converting individual interactions, but also for fostering long-term customer loyalty. Upselling and cross-selling are among the most effective levers to increase the value of existing customer relationships. While cross-selling focuses on recommending complementary products, upselling encourages customers