Managers have used these analytics to inform tour dates, locations and timing of new albums/singles. This gives artists more control over their product and helps them understand their audience better. To provide a holistic perspective on their content, Spotify has created visualizations to help artists understand user engagement, monthly/daily listeners, performance metrics and demographic details. Spotify has also created value specifically for the artists and managers on their platform by creating a “Spotify for Artists” tool which gives artists direct access to their data.
JUDGY SPOTIFY AI SERIES
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Similar to the recommendation engine, Spotify is also experimenting with AI to facilitate the search process and streamline the user prompted discovery of new music. The recommendation will only become smarter over time as more and more data is fed into the ecosystem. This type of recommendation engine creates value for artists who get more exposure to new users and makes customers stickier through increased satisfaction with the service. Spotify utilizes AI through their predictive recommendation engine which enables them to curate personalized playlists such as “Discovery Weekly” and “Release Radar.” The engine is built upon a combination of collaborative filtering, natural language processing and audio models to create a personalized list of thirty songs for each user. Spotify performs analysis and creates machine learning algorithms based on this data to understand music tastes and ease discovery of new genres, artists and songs. Spotify’s application hosts over 50M songs and 4B playlists, garnering massive amounts of data related to song preferences, search behavior, playlist data, geographic location and most used devices. Utilizing user data and proprietary algorithms, Spotify has been able to sort and prioritize the content to create a superior, personalized user experience. As of December 2019, Spotify has 217M users that log over 100 billion data points per day.
Spotify is an on-demand music service that utilizes big data and artificial intelligence to stand out in a crowded music streaming space.
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