The platform uses large-scale machine learning models to match advertiser demand with publisher supply in real time. By analyzing extensive in-app behavioral, device, and engagement data, Axon predicts which users are most likely to install, engage with, or make purchases within an app. The system continuously trains and optimizes to improve return on ad spend (ROAS) and campaign efficiency across AppLovin’s advertising ecosystem.

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