Personalisation at Scale: Analytics Drives 15% Conversion Growth in eCommerce

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Case Study
Personalisation at Scale: Analytics Drives 15% Conversion Growth in eCommerce
Predictive model

Challenge & Opportunity

A leading entertainment ticketing platform needed to optimise customer engagement across multiple channels. The business faced three key challenges

Our Approach

Discover & Diagnose

- Multi-channel interaction analysis
- Customer preference assessment
- Purchase pattern evaluation
- Cross-sell opportunity mapping

Design & Model

- Naïve Bayes algorithm development
- Feature engineering and selection
- Model training and validation
- Scoring framework design

Deploy & Execute

- Real-time prediction engine deployment
- Weekly scoring automation
- Personalised offer generation
- Cross-channel integration

Optimise & Scale

- Continuous model refinement
- Performance monitoring framework
- A/B testing programme
- ROI optimisation system

Resulta & Impact

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Key Results
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Business Outcomes
OIP 2
Solution Toolkit
Case Study

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