Customer Intelligence: Churn, CLV & Segmentation
What this system is for
A customer analytics system combining churn probability, lifetime value, segmentation and time-to-event analysis.
Reference economics
10,000 customers → 3% reprioritized → 300 decisions affected.
Reference arithmetic, not a measured client result.
10k
Reference scenario
3%
Illustrative improvement
300
Decision value
The success story in 30 seconds
Business problem
Ranking, churn or segmentation models fail commercially when relevance is disconnected from value, timing or the next action.
What changed
Combine behavioural and contextual signals.
Business utility
A useful model does not stop at prediction; it makes the next intervention more selective and explainable.
Decision
Prediction & customer decisions
System
Customer Intelligence: Churn, CLV & Segmentation
Validation
Features · Segments
Core stack
Python · Scikit-learn · XGBoost