Back to projects
Case Study
Gaming Segmentation Strategy
+15% marketing ROI · Python · SQL · Clustering
Problem
Marketing campaigns treated all players uniformly, wasting spend on low-intent segments and missing high-value cohorts.
Approach
- RFM analysis + k-means clustering on behavioral data
- Segment-specific campaign design with A/B tests
- SQL pipelines to refresh cohorts on a recurring basis
Outcome
Targeted campaigns outperformed control by 15% ROI, enabling smarter budget allocation across player segments.