The ACCELERAID Platform
Trigger & Campaign
Automation
Real-time triggers from transaction signals. Automated campaign execution across every channel — governed, personalised and compliance-ready.
+15%
Avg uplift
5B
Experiences delivered
Real-time
Event triggers
Omnichannel
Delivery
Key Capabilities
Trigger & Campaign Automation
Capability 1
Real-Time Event Triggers
Every transaction signal becomes an actionable trigger — salary increase, card application started, first spend, inactivity. React in real time, not in the next batch run.
Transaction-based triggers (salary, spend, inactivity)
Life-event detection from payment patterns
Configurable trigger rules per segment and product
Capability 2
Campaign Performance & Analytics
Complete full-funnel visibility — from trigger to revenue generated. Every journey step measurable, conversion uplift optimisable in real time — across Card Activation, Loyalty, Cross-Sell and Winback.
Step-level conversion tracking per campaign
A/B test results across channels and content variants
Revenue attribution per lifecycle stage
Capability 3
All-in-One Campaign Execution
One platform for campaigns, messaging and compliance — no separate tools, no manual handoffs. Personalised at enterprise scale, GDPR-compliant from the start and fully traceable.
Campaigns, messaging and analytics in one platform
Built-in GDPR consent checks and frequency capping
Personalisation at a scale of 235,000+ customers per campaign
Industry Context
Why Trigger & Campaign Automation (CLM/CVM) matters now
Traditional BI creates insights. Traditional marketing uses them for batch campaigns. This approach leaves enormous potential untapped. AI-powered Trigger & Campaign Automation (CLM/CVM) closes the loop — addressing the right person at the right moment on the right channel.
5×
Mal teurer, einen neuen Kunden zu gewinnen als einen bestehenden zu halten
+15%
Average conversion uplift across ACCELERAID customer journeys
90 days
Typical time to ROI with ACCELERAID CLM/CVM deployment
250+
Enterprise-Referenzen in Banking, Karten, Versicherungen und Telco
AI Paradigm Shift
Von deterministischen Regeln zu intelligenter Orchestrierung
Most data sources provide deterministic data — e.g. credit card transactions — which are used by traditional business intelligence to create insights. Marketing departments then run batch campaigns targeting broad customer segments. This leads to top customers being over-targeted and campaigns that aren't timed per individual.
AI-powered Trigger & Campaign Automation (CLM/CVM) changes this fundamentally. Machine Learning automates data science, allowing banks to optimise omnichannel experiences by addressing the right person at the right moment on the right channel — at scale.
“Machine Learning is the automation of data science. When data is the new oil, payment providers sit on the biggest nearly untouched oil field.”
Michael Altendorf, CEO & Co-Founder, Acceleraid
Traditional BI & Batch Campaigns
Static segments → over-targeting top customers → missed timing → poor ROI on acquisition spend
AI-powered CLM/CVM orchestration
Real-time signals → individual-level scoring → right action at the right moment → measurable ROI per journey
Agentic Orchestration (Next Level)
AI agents autonomously decide, act and learn — deterministic governance combined with dynamic, context-aware personalisation
Lifecycle Workflow
From first contact to long-term loyalty
Five connected stages. One platform. Every stage powered by real-time data, predictive scoring and automated orchestration.
The Holistic CLM Model
Trigger & Campaign Automation (CLM/CVM): Complete Lifecycle Coverage
Pre-built lifecycle templates for banking, card and insurance use cases — from acquisition to winback.
Phase 1
Gewinnen & Akquirieren
Phase 2
Aktivieren & Incentivieren
Phase 2b
Cross- & Upsell
Phase 3
Pflegen & Binden
Winback & Re-Activation
Phase 1 — Attract & Acquire
Intelligent customer acquisition
Use first-party data and lookalike audiences to acquire high-value customers — without third-party cookies.
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Lookalike audience modelling from transaction data
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Email re-targeting for abandoned applications
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Personalised checkout funnel optimisation
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AI-scored lead prioritisation for sales teams
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Dynamische Landing-Page-Personalisierung nach Segment
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Voice-powered product search & FAQ bots
Phase 2 — Activate & Incentivise
EMOB: The critical first 90 days
Early month on book (EMOB) is decisive. Personalised activation sequences drive first use, spend activation and product cross-sell from day one.
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Smart onboarding assistant — personalised step by step
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Ausgaben-Incentivierung & Cashback-Kampagnen
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Upsell to premium / platinum card with AI timing
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Loyalitätsprogramm-Aktivierung & Cashback-Regeln
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Dunning & receivables management automation
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Behavioural nudge engine (spend triggers)
Phase 2b — Cross- & Upsell
Next Best Action & Next Best Offer
ML-Modelle identifizieren das optimale Produkt, Timing und den Kanal für jeden Kunden — jenseits breiter Segmentlogik hin zu echter 1:1-Personalisierung.
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Next-best-offer advisor from transaction patterns
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Financial goal-based product recommendations
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AI-scored propensity models per product category
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Dynamic content orchestration across channels
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Intelligent knowledge base for relationship managers
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Proaktive Problemerkennung vor Beschwerdeentstehung
Phase 3 — Pflegen, Binden & Wiedergewinnen
Churn prevention & re-activation
Early signals from the Prediction Engine trigger the right retention action before customers churn — and lifecycle triggers bring dormant customers back.
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Predictive churn scoring from activity change signals
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Anti-churn intervention campaigns with incentives
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Loyalitäts- & Rewards-Personalisierung nach individuellen Präferenzen
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Automated winback journeys based on life events
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Re-activation via contextual in-app messages
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Portfolio health monitoring & alerting
CLM/CVM vs. CRM
Trigger & Campaign Automation (CLM/CVM) is not CRM
CRM records what happened. Trigger & Campaign Automation (CLM/CVM) predicts what should happen next — and executes it automatically.
Dimension
Herkömmliches CRM
ACCELERAID CLM/CVM
Data model
Kontakt- & Aktivitätsdatensätze
Einheitliches Kundenprofil mit Transaktions-, Verhaltens- & prädiktiven Daten
Timing logic
Manual campaigns, calendar-driven
Real-time event triggers from live transaction streams
Personalisation
Segment-based (broad groups)
1:1-Hyper-Personalisierung über ML-Propensity-Scores
Decision making
Rule-based, manually configured
AI agents: deterministic governance + dynamic context decisions
Channels
Email & manual outreach
Omnichannel: E-Mail, SMS, Push, In-App, Filiale, Callcenter, Voice-KI
Learning
Static — no automated model updates
Continuous ML retraining on outcome feedback loops
Regulatory fit
Manuelle Einwilligungs- & Opt-out-Verwaltung
Eingebaute DSGVO-Governance, Einwilligungsprüfungen, Frequency Capping & Audit-Trail
ROI-Transparenz
Attribution is difficult, often manual
Stufenweises Conversion-Tracking & Journey-Level-A/B-Reporting
AI Agents in CLM/CVM
The next evolution: Agentic orchestration
AI agents combine deterministic governance (compliance, consent, audit) with dynamic, context-aware decision-making — creating hybrid process models that scale without sacrificing control.
Akquisitions-Agenten
Dynamischer Anzeigen-Targeter
Optimiert Anzeigenkampagnen in Echtzeit mit Lookalike-Audiences und Targeting-Daten
Prädiktiver Lead-Scorer
Bewertet und priorisiert Leads durch Analyse von CRM-Daten und historischen Konversionsraten
Landing-Page-Ersteller
Generiert personalisierte Landing Pages basierend auf Nutzersegment und -verhalten
Personalised FAQ Bot
Answers individual queries by linking product data with common question patterns
Engagement- & Wachstums-Agenten
Intelligenter Onboarding-Assistent
Führt Neukunden durch personalisiertes Onboarding basierend auf App-Nutzung und Präferenzen
KI-Messaging-Orchestrator
Steuert Timing und Inhalt von Kommunikation basierend auf Engagement-Metriken und Verhalten
Next-Best-Offer-Advisor
Empfiehlt das optimale nächste Produkt aus Transaktionsdaten, Produktnutzung und Demografie
Verhaltens-Nudge-Engine
Sends subtle behaviour-change incentives based on psychological models and user patterns
Bindungs-Agenten
Churn-Prädiktor
Identifies at-risk customers by analysing transaction frequency, engagement and service interactions
Loyalitäts- & Rewards-Advisor
Personalisiert Prämien und Loyalitätsprogramme basierend auf individuellen Präferenzen und Nutzung
Proaktiver Problemdetektor
Detects and resolves potential customer issues before they escalate into complaints
Kontextueller In-App-Helfer
Provides context-sensitive help in banking apps by analysing current user behaviour
Deterministic orchestration — where you need control
✓
Compliance- & Identitätsprüfungen folgen immer festen Regeln
✓
Einwilligungsdurchsetzung und Frequency Capping — prüffähig
✓
Dunning workflows and service escalations — predictable
✓
Full audit trail for every communication sent
Non-deterministic orchestration — where AI adds value
→
Customer complaint context: AI agent analyses history, suggests resolution
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Cross-sell timing: model decides optimal moment based on live signals
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Content generation: real-time personalised messages per customer
→
Retention: agent adapts retention offer based on churn probability
Best Practice Guide
What our CLM/CVM whitepaper covers
Our Customer Lifecycle Management Best Practice Guide is the definitive blueprint for payment and credit card issuers — with blueprints, use cases and ML model guidance for every lifecycle phase.
No paywall for registered users · PDF · EN
1
Introduction to Customer Lifecycle Management (CLM/CVM)
Foundations, definitions and the case for AI-first CLM
2
AI — A Paradigm Shift
Von deterministischer BI zu Machine-Learning-Automatisierung im Maßstab
3
Data in the Customer Lifecycle
First-party data strategy, transaction data and cookieless future
4
Campaign Automation Along the Lifecycle
Triggerbasierte Automatisierung über alle Touchpoints und Kanäle
5
Deploying Machine Learning Models
Propensity models, churn scoring and next-best-action architecture
6
Phase 1: Attract & Acquire
Lookalike audiences, email retargeting, checkout funnel optimisation
7
Phase 2: Activate & Incentivise
EMOB, Ausgabenaktivierung, Upsell zur Premiumkarte, Cashback & Loyalität
8
Phase 3: Cultivate & Retain
Anti-churn, re-activation journeys and portfolio health monitoring
9
Scaling Personalised Campaigns
Von 1:viele zu 1:1: Architektur für Hyper-Personalisierung im Maßstab
Platform Capabilities
Built for regulated financial institutions
Omnichannel Orchestration
Orchestrate across email, SMS, push, in-app, call centre, branch and voice AI — with channel preference logic learned from each customer's behaviour.
Real-time CLM Scores
Activity level, activity change, content affinity and churn propensity scores — recalculated in real time from live transaction streams.
Governed Triggers
Jede Aktion umfasst Einwilligungsprüfungen, Frequency Capping und Opt-out-Durchsetzung. Vollständiger DSGVO-konformer Audit-Trail für jede gesendete Kommunikation.
First-Party Data Strategy
With third-party cookies gone, first-party transaction data becomes the competitive advantage. ACCELERAID unlocks it fully — without privacy compromise.
Journey Analytics
Stufenweises Conversion-Tracking, A/B-Test-Ergebnisse und Journey-Performance in einem Dashboard. Messen Sie exakt, was jede Lifecycle-Phase zum Umsatz beiträgt.
Pre-Built Templates
60+ pre-built lifecycle journey templates for banking, card issuers, insurance and savings banks — live in weeks, not months.
Intelligente Analytics
What CLM/CVM delivers
Measurable outcomes across every lifecycle stage — from acquisition cost reduction to churn prevention and revenue growth per customer.
MA
Michael Altendorf
CEO & Co-Founder, Acceleraid
15+
Years in regulated markets
250+
Enterprise deployments
3.5bn
Analysierte Transaktionen
6–9 mo
Average time to ROI
See Trigger & Campaign Automation (CLM/CVM) on your use case
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