Can first-session behavioral features (tap rate, failure count, retry speed) predict D7 retention with AUC above 0.75 for hypercasual titles?
Build an early retention prediction model from first-session behavioral signals to identify at-risk users
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Can first-session behavioral features (tap rate, failure count, retry speed) predict D7 retention with AUC above 0.75 for hypercasual titles?
Bruin connects to your Telemetry, Data Warehouse and runs the analysis automatically.
It tracks Prediction AUC, feature importance, retention risk segments and delivers the answer in seconds, in Slack, Discord, Teams, Google Chat, WhatsApp, Telegram, email, or your browser.
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