Predicting Success:
Telco’s Journey to Intelligent
Service Rollout
Challenge & Opportunity
A leading telecommunications provider needed to optimise their rollout of high-value add-on services beyond their existing “triple play” offering. The business faced three key challenges
- Complex customer choice patterns requiring advanced prediction
- Need for precise service adoption forecasting for new services
- Multi-service rollout strategy optimisation
Our Approach
Discover & Diagnose
- Comprehensive market research analysis
- Customer behaviour pattern assessment
- Value proposition evaluation
- Opportunity sizing across segments
Design & Model
- Decision tree algorithm development
- Probabilistic model creation
- Data fusion methodology implementation
- Response bias control framework
Deploy & Execute
- Predictive model deployment
- Customer segmentation refinement
- Service rollout prioritisation
- Cross-sell strategy development
Optimise & Scale
- Five-year demand forecasting
- Revenue projection modelling
- Churn prediction framework
- Continuous model refinement
Results & Impact
Key Results
- 93% accuracy in behaviour prediction
- 8% uplift in service subscriptions
- 12% improvement in targeted selling
- Enhanced forecast precision
Business Outcomes
- Five-year market demand forecast
- Refined rollout strategy
- Improved targeting accuracy
- Optimised service packaging
- Enhanced customer understanding
Solution Toolkit
- Python
- Machine learning
- Decision tree modelling
- Data fusion techniques
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