The Spotify Algorithm Explained: How Songs Get Recommended
How Spotify's algorithm actually decides which songs to recommend in Discover Weekly, Release Radar and Radio.
Spotify's algorithm is three overlapping systems: collaborative filtering, natural language processing on articles about music, and audio analysis of the track itself. Feed all three and your song enters the recommendation pool.
Collaborative filtering
Spotify tracks which songs people save into the same playlists. If your track lands in playlists next to established artists in the same genre, it enters those artists' recommendation neighbourhood.
NLP on music writing
Spotify scrapes music blogs, reviews and social discussion for how your song is described. This shapes which mood, genre and vibe playlists your song joins.
Audio analysis
Spotify's audio model tags tempo, key, energy, danceability and instrumentation. This lets your song appear in mood-based recommendations even without prior listener data.
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Browse Spotify packages →Frequently asked questions
Do real bought streams help the algorithm?
Yes — they raise the base engagement signal collaborative filtering uses.
Why is my song not in Discover Weekly?
Almost always low save rate or high skip rate. Both are algorithm veto signals.
How often does the Spotify algorithm update?
Continuously; algorithmic playlists refresh weekly, Radio in real time.