Crunches Listener Data to Provide Behavior Insights

 - Jul 10, 2017
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Music tastes go a long way in showing what a person is like — how they behave, how they think, and what interests them aside from songs — so is a valuable resource for peering into one's soul. The Spotify-connected service uses data analysis to break down users' listening habits and make inferences about what that might indicate for them as people, presenting those figures on an easy-to-intuit landing page.

After users connect their Spotify accounts, the page moves from basic to advanced insights. It begins with straightforward analyses like one's favorite artist and songs, as well as listening habits based on time of day. It then breaks down one's interests by genre and sub-genre, and finally moves into things like energy level (whether one listens to high- or low-energy songs more typically) or positivity (sad and somber music versus happy and upbeat.) is part of the streaming service's new Spotify for Brands arm, which hopes to give businesses consumer insights based on listening data.