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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.