Spotify Algorithmic Playlists

When it comes to landing your newest release on a playlist, many people instantly turn to ad spends. Although having a budget is key to promoting your music, there are many ways to set yourself for success in the world of Spotify’s algorithm. While tapping into these algorithms can seem impossible, with so much music within the streaming space, there are a few simple tricks that can help you get your music into the ears of new listeners. When thinking of play-listing, think of algorithmic playlists in comparison to editorial playlists. Editorial playlists are curated by real people, while algorithmic playlists are generated from data. These playlists are generated for individual users, based on the tastes and trends of each listener. 

The big 3 algorithmic playlists that you should be familiar with are release radar, discover weekly and daily mix. Release radar being a weekly playlist, consists of a combination of songs from artists that the user follows, new songs that Spotify thinks the listener will enjoy based on their saved songs, and is filled with new releases. Discover weekly is another weekly playlist individually curated for the user based on their listening trends. This playlist is a mix of old releases and new music from artists that Spotify also thinks the user will enjoy. Daily mix is a daily playlist, that is made up of music that Spotify thinks set listener will enjoy wether new or old, artists that the listener may be unfamiliar with, and music they already love.

While landing your music on any of the big 3 playlists can seem like a shot in the dark to an emerging artist, landing these placements can be accomplished rather quickly by focusing on key areas within the algorithm when it comes to your music. Firstly, listen rates and save rates. It’s common sense that the more people that save a song the better, but how often are they listening? If an artists song is streamed 1000 times on the day of release, great, but if the popularity drops and the song sees little to no streams over the week following the release, this can be seen as a red flag to the algorithm, thus showing Spotify that listeners may have not enjoyed the song. Engagement within an artist’s Spotify profile is also absolutely key. The more follows that you gain the better, shares to social media are massively important as high quality interactions are what the algorithm is looking for. Little things such as how long a user is scanning your Spotify profile is something that can boost the algorithm in your favour.

While save rates and repeat listens help to boost the algorithm, there are many things that the algorithm analyzes when it comes to reading data from a user. Methods such as collaborative filtering which is a behaviour analysis of users and the trends of what they’re listening to, audio analysis, which is data generated on how danceable your song is, if the track is in key, acoustic analysis. Another method called web crawling. Web crawling is when the algorithm scans through the web, searching the artist to see if there are pr and or blog posts surrounding the release, it uses this to correlate related artists, collaborations, and song recommendations. Using all these methods is how the algorithm determines what they think a user should listen to next.  While the algorithm is something we are all doing our best to tap into, being mindful of the small things is important when it comes to getting your music into the ears of new fans even faster.


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