Decoding Customer Behaviour: Global Telco Redefines Retention Strategies
Challenge & Opportunity
A leading global telecommunications provider needed to enhance customer retention accuracy. The business faced three key challenges
- Inaccurate churn predictions affecting strategy
- Revenue leakage from rotational churn
- High acquisition costs from misidentified churners
Our Approach
Discover & Diagnose
- Deep-dive analysis of call detail records
- Comprehensive market research review
- Customer behaviour pattern analysis
- Rotational churn assessment
Design & Model
- Fingerprint methodology development
- Usage pattern algorithm creation
- k-NN learning model implementation
- Similarity scoring framework
Deploy & Execute
- Advanced predictive model deployment
- Customer segmentation refinement
- Retention strategy optimisation
- Campaign targeting enhancement
Optimise & Scale
- Continuous model refinement
- Performance monitoring framework
- Strategy adaptation system
- ROI optimisation programme
Measurable Impact
Key Results
- 95% accuracy in rotational churn identification
- 8% improvement in retention rates
- 20% reduction in campaign spend
- Enhanced prediction accuracy
Business Outcomes
- Deep churn trigger insights
- Refined customer segmentation
- Improved targeting precision
- Optimised promotional strategy
Solution Toolkit
- Python
- Oracle
- Machine learning
- Predictive modelling
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