[ RETAIL & AVIATION ]
Customer Lifetime Value
BG/NBD-class probabilistic modelling that predicts high-value behaviour months ahead, integrated into Salesforce Marketing Cloud for automated segmentation.
Domain
RETAIL & AVIATION
Status
Delivered across multiple engagements
Use when
Loyalty- or repeat-purchase-driven businesses want to shift from reactive to predictive marketing.
Reference
Available for new engagements
01. The problem
Reactive marketing segments on what customers did last quarter. The campaign team needs to know what they will do next quarter, with the precision to reallocate spend.
02. The approach
BG/NBD probabilistic models for repeat-purchase prediction, with optional ML overlays for cohorts where the baseline breaks (heavy promotion sensitivity, multi-product cross-sell).
03. The architecture
Python modelling pipeline scoring per-customer CLV at a defined cadence. BigQuery as the data layer. Direct integration into Salesforce Marketing Cloud for segment activation.
04. The outcome
A campaign team that targets future high-value behaviour, not past purchases. Segments refresh on the modelling cadence. The CFO can see the spend justification.
[ ATI SHAPE ]
Predictive intelligence
BG/NBD-class probabilistic CLV per customer
Agentic execution
Scheduled scoring + automated segment refresh
Secure data
BigQuery + scoped service accounts to Marketing Cloud
Actionable outcomes
Activated segments inside the marketing cloud
[ IMPACT ]
Forward
Score future behaviour, not past purchases
Probabilistic
Defensible uncertainty estimates
Activated
Segments push into Marketing Cloud automatically
[ NEXT STEP ]
See Customer Lifetime Value in your data.
[ READY FOR YOUR STORY? ]