Platform

Trigger & Campaign
Automation

Real-time event triggers from transaction signals. Automated campaign execution across every channel — governed, personalised and compliance-ready.

Get a Demo All Modules →

Platform: Overview CDP Predictions CLM/CVM Optimisation Reporting AI Agents Delivery

+15%

Avg conversion uplift

250+

Enterprise deployments

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, dormancy detected. 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

ACCELERAID Campaign Trigger Engine — Decision Engine with audience selection and channel routing

Capability 2

Campaign Performance & Analytics

Full-funnel campaign visibility — from trigger fired to revenue generated. Track every journey step, measure conversion uplift and optimise in real time across Credit Card Activation, Loyalty, Cross-Sell and Winback campaigns.

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 covers campaigns, messaging and compliance — no separate tools, no manual handoffs. Personalised at scale, governed from the start. Every campaign GDPR-compliant, every communication traceable.

Campaigns, messaging and analytics in one platform
Built-in GDPR consent checks and frequency capping
Personalisation at scale across 235k+ customers per campaign

ACCELERAID All-in-One Platform — Campaigns, Messaging and Compliance

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 value on the table. AI-powered Trigger & Campaign Automation (CLM/CVM) closes the loop — addressing the right person at the right moment on the right channel.

5×

More expensive to acquire a new customer than retain an existing one

+15%

Average conversion uplift across ACCELERAID customer journeys

90 days

Typical time to ROI with ACCELERAID CLM/CVM deployment

250+

Enterprise references across banking, cards, insurance and telco

AI Paradigm Shift

From deterministic rules to intelligent orchestration

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 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)

Pre-built lifecycle templates for banking, card and insurance use cases — covering every phase from acquisition to winback.

Phase 1
Attract & Acquire

→

Phase 2
Activate & Incentivise

→

Phase 2b
Cross- & Upsell

→

Phase 3
Cultivate & Retain

→

Winback &
Re-Activation

Phase 1 — Attract & Acquire

Intelligent customer acquisition

Leverage first-party data and lookalike audiences to acquire high-value customers — without third-party cookies.

Lookalike audience modelling from transaction data
Email re-targeting for abandoned applications
Personalised checkout funnel optimisation
AI-scored lead prioritisation for sales teams
Dynamic landing page personalisation by segment
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.

Smart onboarding assistant — personalised step-by-step
Spend incentivation & cashback campaigns
Upsell to premium / platinum card with AI timing
Loyalty programme activation & cashback rules
Dunning & receivables management automation
Behavioural nudge engine (spend triggers)

Phase 2b — Cross- & Upsell

Next Best Action & Next Best Offer

ML models identify the optimal product, timing and channel for every customer — moving beyond broad segment logic to true 1-to-1 personalisation.

Next-Best-Offer Advisor from transaction patterns
Financial goal-based product recommendations
AI-scored propensity models per product category
Dynamic content orchestration across channels
Intelligent knowledge base for relationship managers
Proactive issue detection before complaints arise

Phase 3 — Cultivate, Retain & Winback

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.

Predictive churn scoring from activity change signals
Anti-churn intervention campaigns with incentives
Loyalty & rewards personalisation by individual preference
Automated winback journeys based on life events
Re-activation via contextual in-app messages
Status quo 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	Traditional CRM	ACCELERAID CLM/CVM
Data model	Contact & activity records	Unified customer profile with transaction, behavioural & predictive data
Timing logic	Manual campaigns, calendar-driven	Real-time event triggers from live transaction streams
Personalisation	Segment-based (broad groups)	1-to-1 hyper-personalisation via ML propensity scores
Decision making	Rule-based, manually configured	AI agents: deterministic governance + dynamic context decisions
Channels	Email & manual outreach	Omnichannel: email, SMS, push, in-app, branch, call centre, voice AI
Learning	Static — no automated model updates	Continuous ML retraining on outcome feedback loops
Regulatory fit	Manual consent & opt-out management	Built-in GDPR governance, consent checks, frequency capping & audit trail
ROI visibility	Attribution is difficult, often manual	Step-level 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.

Acquisition Agents

Dynamic Ad Targeter

Optimises ad campaigns in real-time using lookalike audiences and targeting data

Predictive Lead Scorer

Scores and prioritises leads by analysing CRM data and historical conversion rates

Landing Page Creator

Generates personalised landing pages based on user segment and behaviour

Personalised FAQ Bot

Answers individual enquiries by linking product data with frequent question patterns

Engagement & Growth Agents

Smart Onboarding Assistant

Guides new customers through personalised onboarding based on app usage and preferences

AI Messaging Orchestrator

Controls timing and content of communications based on engagement metrics and behaviour

Next-Best-Offer Advisor

Recommends optimal next product from transaction data, product usage and demographics

Behavioural Nudge Engine

Sends subtle behaviour-change incentives based on psychological models and user patterns

Retention Agents

Churn Predictor

Identifies at-risk customers by analysing transaction frequency, engagement and service interactions

Loyalty & Rewards Advisor

Personalises rewards and loyalty programmes based on individual preferences and usage

Proactive Issue Detector

Recognises and resolves potential customer problems before they escalate to complaints

Contextual In-App Helper

Provides context-sensitive help in banking apps by analysing current user behaviour

Deterministic orchestration — where you need control

✓ Compliance & identity checks always follow fixed rules
✓ Consent enforcement and frequency capping — auditable
✓ 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
→ Cross-sell timing: model decides optimal moment based on live signals
→ 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 — covering every phase of the lifecycle with blueprints, use cases, and ML model guidance.

Download Free Whitepaper →

No paywall for registered users · PDF · EN

Introduction to Customer Lifecycle Management (CLM/CVM)

Foundations, definitions and the case for AI-first CLM

AI — A Paradigm Shift

From deterministic BI to machine learning automation at scale

Data in the Customer Lifecycle

First-party data strategy, transaction data and cookieless future

Campaign Automation Along the Lifecycle

Trigger-based automation across all touchpoints and channels

Applying Machine Learning Models

Propensity models, churn scoring and next best action architecture

Phase 1: Attract & Acquire

Lookalike audiences, email re-targeting, checkout funnel optimisation

Phase 2: Activate & Incentivise

EMOB, spend activation, upsell to premium card, cashback & loyalty

Phase 3: Cultivate & Retain

Anti-churn, re-activation journeys and portfolio health monitoring

Scaling Personalised Campaigns

From 1-to-many to 1-to-1: architecture for hyper-personalisation at scale

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

Every action includes consent checks, frequency capping and opt-out enforcement. Full GDPR-compliant audit trail for every communication sent.

First-Party Data Strategy

With third-party cookies gone, first-party transaction data becomes the competitive moat. ACCELERAID unlocks it fully — without privacy compromise.

Journey Analytics

Step-level conversion tracking, A/B test results and journey performance in one dashboard. Measure exactly what each lifecycle stage contributes to revenue.

Pre-Built Templates

60+ pre-built lifecycle journey templates for banking, card issuers, insurance and Sparkassen — go live in weeks, not months.

Intelligent Analytics