Through a large scale data driven analysis, my research explores how users of the French based music streaming platform, Deezer adopt different platform affordances such as personal playlists or rather algorithmic or editorial playlist to both explore and exploit music on-platform. More specifically, we focus on exploring how low level behavioural dynamics (e.g. activity, redundancy) and then later, concentration dynamics (both semantic and item centric) correspond to different affordance adoption strategies deployed by users’ on-platform.