With millions and millions of users listening to music every minute of the day – brands like Spotify accumulate a mountain of implicit customer data comprised of song preferences, keyword preferences, playlist data, geographic location of listeners, most used devices and more. Spotify uses a combination of different data aggregation and sorting methods to create their unique and powerful recommendation model – which is powered by Machine Learning.
Data drives decisions across each and every department at Spotify. This data is used to train Spotify algorithms which hypothesize relevant insights both from content on the platform and from online conversations about music and artists – as well as from customer data and use this to enhance the user experience.
