Quick Overview
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.
SciPlay
Company Size
Large multinational (mobile gaming)
Revenue Range
Not publicly disclosed
Primary Challenge
Efficiently targeting retargeting campaigns to maximize ROI and reduce wasted ad spend
Key Metrics
\- Millions saved annually\- Significantly improved ROI\- Enhanced player experience with personalized offers\- Faster predictive project turnaround
The Problem
Previous rule-based retargeting was inefficient, overspending on irrelevant audiences and limiting reach
The Solution
Pecan’s machine learning models predict which players need retargeting nudges, allowing precise budget allocation and personalized messaging
Results
\- Higher marketing margins\- Smarter marketing spend\- Accurate measurement of revenue impact and incrementality\- Continuous model refinement improving granularity and efficiency
“Pecan allows us to be more profitable and invest better. We are definitely able to buy smarter than we used to, and it’s becoming a competitive edge.”
Evyatar Livny, Vice President of Marketing Technologies, SciPlay
Details
Industry
Media & Entertainment
Departments
Marketing & Content
Data & Analytics
Use Cases
Research & Insights
Tags
GenAI
NLP
Scalability
AI Tools Used
No items found.
Sources
https://www.pecan.ai/customer/optimizing-retargeting-sciplay-pecan/https://www.pecan.ai/wp-content/uploads/2023/06/Pecan-SciPlay-Case-Study.pdfhttps://tgmresearch.com/ai-impact-on-market-research.htmlhttps://www.linkedin.com/posts/pecan-ai_sciplay-saves-millions-per-year-through-higher-activity-7102584567932334080-clnJ
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