About Client
Khelplay, a leading online gaming platform, aimed to improve player retention and campaign ROI through predictive analytics and micro-segmentation models.
The Challenge
Player engagement dropped due to limited personalization and generic offers.
• No predictive visibility into player churn
• Ineffective segmentation for campaigns
• Limited data-driven personalization
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The Solution
Iksula implemented machine learning models using clustering and SVM to identify churn risk and high-value players. Advanced segmentation informed personalized bonuses and targeted offers.
- Churn prediction models with 92% accuracy
- Cluster-based segmentation for dynamic targeting
- Integration with campaign systems for automation
Business Metric Improvement
The solution significantly improved engagement and revenue per user.
• 25% increase in bonus ROI
• 12% uplift in revenue per player
• Predictive insights reduced churn through proactive engagement
