United StatesMedia and entertainment2023 – ongoingSciPlay
Churn prevention and player segmentation models for mobile games
SciPlay lifted player retention 5% across its games with churn and segmentation models
Problem
SciPlay, maker of mobile social games such as Jackpot Party and Quick Hit Casino, serves more than 6 million monthly users. Its behavioral, session and attribution data sat in separate places, which made it hard to spot players likely to leave.
Approach
SciPlay unified its player data on Databricks and built machine learning models in MLflow. A churn prevention model flagged at-risk players, and other models grouped players into cohorts to personalize game experiences.
Results
Takeaway
Retention gains came after player data was brought together and used to target at-risk groups.
Categories
- Industry
- Media and entertainment
- Business function
- Marketing and sales
- Innovation type
- Product and service innovation
- AI technology
- Predictive analytics and ML
- Adoption
- Off-the-shelf tool or platform
- Evidence
- Vendor case study
Sources
Source summaries
Databricks describes how SciPlay unified player data and built churn prevention and segmentation models. It reports a 5% uplift in retention across all games. It also gives platform figures such as 75% faster time to market and 60x faster time to insight.
Full details are in the original sources.