SciPlay, a leading mobile game publisher, used Pecan’s AI-powered predictive analytics to refine its retargeting campaigns by identifying players most likely to return. This enabled more efficient ad targeting, saving millions annually while improving player experience with tailored offers. The marketing team built internal predictive models for seven games, integrating predictions directly into campaign platforms for real-time use.
- Millions saved annually
- Significantly improved ROI
- Enhanced player experience with personalized offers
- Faster predictive project turnaround
Previous rule-based retargeting was inefficient, overspending on irrelevant audiences and limiting reach
Pecan’s machine learning models predict which players need retargeting nudges, allowing precise budget allocation and personalized messaging
- Higher marketing margins
- Smarter marketing spend
- Accurate measurement of revenue impact and incrementality
- Continuous model refinement improving granularity and efficiency
