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🎵Module 1 of 20FREE

Spotify & Streaming Algorithms

How platforms surface tracks, what affects "fans also like," Release Radar, Discover Weekly, and how saves, skips, and repeat plays actually move the needle.

How Spotify's Algorithm Actually Works

Spotify's recommendation engine is built on three pillars: collaborative filtering, natural language processing, and audio analysis. Understanding these is the difference between hoping for plays and engineering them.

Release Radar & Discover Weekly

Release Radar populates every Friday with new music from artists a listener follows or has engaged with. The key triggers:

  • Following the artist
  • Saving songs to library
  • Adding to playlists
  • Repeat plays in the last 28 days

Discover Weekly is generated every Monday using collaborative filtering — "listeners who liked X also liked Y." Your song gets into Discover Weekly by being saved and playlisted by listeners who share taste profiles with your target audience.

The Metrics That Matter

  1. Save Rate — The #1 signal. A save tells Spotify "this listener wants to hear this again." Aim for >5% save rate.
  2. Skip Rate — If listeners skip before 30 seconds, it's a negative signal. Front-load your hooks.
  3. Completion Rate — Do people listen to the whole song? Songs under 3:00 tend to have higher completion.
  4. Playlist Add Rate — When listeners add your song to their personal playlists, it signals organic demand.
  5. Repeat Listens — Coming back to replay within 24-48 hours is a strong engagement signal.

The 28-Day Window

When you release a track, Spotify gives it a 28-day evaluation window. During this period:

  • Your song is tested with small audience segments
  • If engagement metrics are strong, it gets pushed to larger audiences
  • Poor metrics = the algorithm stops promoting it

Strategy: Concentrate your promotional push in the first 7-14 days. Pre-save campaigns, day-one playlist pushes, and social media blitzes all feed the algorithm during this critical window.

Algorithmic Playlists vs Editorial Playlists

Algorithmic (Release Radar, Discover Weekly, Daily Mixes): Driven by data. You influence these through engagement metrics.

Editorial (RapCaviar, Pollen, New Music Friday): Curated by Spotify's team. You pitch through Spotify for Artists at least 7 days before release. Include genre, mood, instruments, and a compelling story.

Practical Framework

  1. Pre-release: Build pre-saves (use DistroKid/TuneCore smart links), tease on social
  2. Day 1-3: Activate your core fanbase — they set the initial metrics
  3. Day 3-14: Push to playlist curators, run targeted ads to warm audiences
  4. Day 14-28: Monitor Spotify for Artists data, adjust strategy based on which playlists are driving streams
  5. Post-28 days: Focus on catalog plays — get added to user playlists, mood playlists, and workout playlists for long-tail streams

📝 Action Items

  • 1Set up Spotify for Artists and familiarize yourself with the analytics dashboard
  • 2Plan a pre-save campaign for your next release using a smart link service
  • 3Analyze your top 3 songs — what are their save rates, skip rates, and completion rates?
  • 4Create a 28-day release timeline with specific promotional actions for each week

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