Fast Track has announced the release of a new AI-driven Player Churn Prediction Model, now available to all partners within its CRM platform. The model enables operators to identify players at risk of churning as early as the first day of inactivity, supporting more proactive and efficient retention strategies.
Built on Fast Track’s proprietary machine learning platform, FTML, the model uses seven sub-models to analyse player behaviour and make accurate predictions tailored to each operator’s player base. The system continuously trains itself on live data, ensuring predictions remain relevant and effective over time.
The Churn Model is already in use by several Fast Track partners and is fully integrated into the platform’s core workflows. Once activated, operators receive clear, actionable insights into which players are likely to churn, along with data-informed recommendations on timing and incentive levels for re-engagement.
“Churn is one of the most impactful use cases for AI in player engagement,” said Simon Lidzén, Co-Founder and CEO of Fast Track. “With this model, operators can focus their efforts where it matters most; targeting players who are truly at risk with the right offer at the right time. It’s a smarter, more cost-effective approach to retention.”
The Churn Model addresses a common challenge in the industry – overuse of reactivation bonuses – by helping teams deliver more relevant and timely incentives based on predictive insights, not guesswork.
To support the launch, Fast Track will host a live webinar on Thursday, 10 July 2025 at 16:00 CEST, offering a walkthrough of the new Churn Model and its practical applications. Save your spot at app.livestorm.co/fast-track/save-your-players.
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