{"slug":"sciplay-uses-machine-learning-for-churn-prevention-and-player-personalization","url":"https://findausecase.com/use-cases/sciplay-uses-machine-learning-for-churn-prevention-and-player-personalization","title":"SciPlay uses machine learning for churn prevention and player personalization","description":"SciPlay, a mobile social gaming company behind titles like Jackpot Party and Quick Hit Casino, built machine learning models with MLflow on the Databricks Data + AI Platform, including a churn prevention model that identifies players at risk of churning and customer segmentation models that target cohorts of players with personalized gaming experiences. This drove a 5% uplift in user retention across games, 75% faster time-to-market for new games and features, and reduced time-to-insight for nontechnical teams from 4 hours to 4 minutes (60x faster).","company":"SciPlay","industry":"Media & Entertainment","aiCapabilities":["Predictive Analytics"],"technology":["Databricks Data + AI Platform","MLflow","Delta Lake"],"deployment":"Public Cloud","problemStatement":"SciPlay's cloud data warehouse was complex to manage and costly to scale as the company and its data grew exponentially; disconnected data silos blocked access to key information, made sharing across teams a struggle, and the company could take hours instead of minutes to make a critical decision.","solutionApproach":"With the Databricks Data + AI Platform, SciPlay unified behavioral, session and attribution data with analytics and AI, building machine learning models within MLflow including a churn prevention model to identify customers at risk of churning and customer segmentation models to target cohorts of players with personalized gaming experiences.","businessValue":"Since adding lakehouse to its tech stack, SciPlay has seen a 5% uplift in user retention across multiple games, can now launch new games an average of 75% faster than before, and non-data teams benefit from time-to-insight reduced from 4 hours to just 4 minutes, a 60x improvement.","evidence":{"band":"high"},"sourceUrl":"https://www.databricks.com/customers/sciplay","dates":{"publishedAt":"2026-09-25T05:47:37.246Z","publishedAtSource":"pipeline","updatedAt":"2026-09-25T05:47:37.246Z"},"license":"Open for reading and citing with a link to https://findausecase.com/use-cases/sciplay-uses-machine-learning-for-churn-prevention-and-player-personalization. Bulk republication requires permission."}