Segment players and predict churn with GPT-4o and reward pricing simulations

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How It Works This workflow automates player segmentation and game economy optimisation using a multi-agent AI architecture, targeting game designers, product managers, and data teams in mobile, PC, or online gaming studios who need to personalise player experiences at scale. The core problem it solves is the manual, reactive approach to player retention where studios typically analyse churn and monetisation issues too late, without the granularity needed to act on individual player behaviour seg