What’s the Difference Between Apple Music Editorial and Algorithmic Playlists?

Apple Music : https://music.apple.com/us/artist/stephen-allen-music/1092692557

 Editorial Playlists

  • Curated by real humans—Apple’s team of expert editors and tastemakers
  • Examples: New Music Daily, Today’s Hits, Rap Life, Chill Vibes
  • Focus on quality, trends, and artist storytelling
  • Usually have large, global audiences
  • Submission requires pitching (via distributor or PR)
  • Great for discovery and prestige


 Algorithmic Playlists

  • Generated by machine learning and data analysis
  • Personalized for each user based on listening habits
  • Examples: Favorites Mix, New Music Mix, Chill Mix, Friends Mix
  • Grow organically as fans listen and save your music
  • No manual submission needed
  • Help build long-term fan engagement


 How They Work Together

  • Editorial playlists can give you the initial big boost in exposure
  • That exposure leads to more streams and saves, which feeds the algorithm
  • Algorithmic playlists then help retain and grow your fanbase over time
  • Both types are essential parts of a successful Apple Music growth strategy


 How to Leverage Both

Editorial Playlists

Algorithmic Playlists

Pitch your music ahead of release

Release consistently to maintain activity

Build your artist profile & brand

Encourage fans to save & listen fully

Promote to fans & influencers

Grow your monthly listeners & engagement

Use PR & playlist pitching services

Focus on sustained streaming & fan loyalty



 Common Misconceptions

  • You can’t get on editorial playlists by paying for placements (Apple is strict)
  • Algorithmic playlists don’t happen instantly—they need consistent listening data
  • Editorial playlists don’t guarantee algorithmic success without fan engagement


 Pro Tip:

Focus on building both human relationships (curators, press) and organic fan listening patterns to maximize Apple Music growth.

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