Back to AI Use Case StudioLive
Use Case
Customer Churn Prevention
Predict at-risk customers and trigger retention journeys with next-best offers.
Value chainMarketingObjectiveGrow RevenueAI typeModelKPIRetention +9%Value£480KFeasibilityHigh
Dependencies
Customer 360, Engagement, Service
Feasibility
High — based on current data & integration readiness
Recommendation
✅ Live — monitor and optimise
AI deployment flow
How signal turns into outcome for this use case.
Insight
Predict and prevent customer churn with proactive engagement
Business Objective
Grow Revenue
Data Required
Customer, Sales, Marketing, Loyalty, Service
AI
Model — Customer Churn Prevention
Decision
KPI: Retention +9%
Action
CRM, CDP, ESP
Outcome
£480K value
Business outcomes
- Primary KPIRetention +9%
- Estimated annual value£480K
- Strategic objectiveGrow Revenue
- Value chain stageMarketing
Type of AI
ModelPredictive or generative model that scores, forecasts or generates content.
Action surfaces
CRM, CDP, ESP
Data sources required
Unified domains powering this use case via Xfuze.
Customer
CustomerUnified golden record of every known shopper across channels, identities and households.
Typical sources
CDPCRMLoyaltyEcommercePOS
Sales
Sales & CommerceEvery transaction line across stores, web, marketplace and wholesale — the canonical ledger.
Typical sources
POSEcommerceMarketplacesOMS
Marketing
MarketingCampaigns, audiences, creative assets and channel engagement signals.
Typical sources
ESPAd platformsSocialCDPWeb analytics
Loyalty
CustomerMembership, tiers, points and redemption history that drive retention economics.
Typical sources
Loyalty platformPOSEcommerce
Service
ServiceContact-centre interactions, tickets, transcripts and CSAT across voice, chat and email.
Typical sources
ZendeskSalesforce ServiceGenesysIntercom
Related use cases
Same value chain or business objective.