Artists and their teams understandably have many playlist performance questions:
“Given the current status of my track, what are the best playlists to target?”
“Given that my track got added to Breaking R&B on Apple Music, what other playlists usually happens to tracks on Breaking R&B around the same time?”
“Given that my track is currently on Hits of the Moment on Deezer, what are the odds of it getting on Les titres du moment?”
So in an effort to meet these needs, we built two main playlist analytics tools: the Pre-Playlist Analyzer and Post-Playlist Analyzer, which both look at a time-based concept we’ll call a song’s “Track Journey”. Both Analyzers look at the Track Journey of all songs on a target playlist, visualize the tracks’ commonly occurring playlists and display the percentage overlap between the playlists.
The Pre-Playlist Analyzer looks at the playlist data before each track gets on the target playlist, whereas the Post-Playlist Analyzer looks at what happened to each track after it got added.
We are capable of analyzing any playlist on Spotify, Apple Music, Deezer, Amazon, and YouTube, but for now, we will focus on a few of the patterns we discovered on Spotify, Apple Music and Deezer.
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