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Hey,

Today’s email is a simple breakdown of the three types of Spotify playlists and what each one actually does for your growth as an indie artist.

Let’s keep it clear and practical.

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🎧 1. Algorithmic Playlists (Powered by Spotify’s AI)

Examples: Discover Weekly, Release Radar, Radio, Daily Mixes.

How they work:
Spotify shows your song to people who behave like your listeners. It looks at:

  • Skips

  • Saves

  • Playlist adds

  • Replays

  • Follows

  • Listener retention

If your data is strong, Spotify pushes your music to more people.

Why it matters:
Algorithmic playlists are the #1 source of long-term growth.
This is where most indie artists see real, sustainable numbers.

How to win:

  • Strong first 10 seconds

  • Ask fans to save & add to playlists

  • Warm up your audience before release

  • Avoid fake playlists/bots

🎵 2. Editorial Playlists (Curated by Spotify Staff)

Examples: RapCaviar, mint, Fresh Finds, Pop Rising.

How you get in:
Submit your song through Spotify for Artists at least 7+ days before release.

Why it matters:
Editorials can give you a short-term spike in streams and credibility.

Reality check:
They’re hard to land and usually don’t last long.
They help, but they don’t build a career by themselves.

🎧 3. User Playlists (Made by Real Listeners)

Examples: personal playlists, small curators, niche playlists.

How they work:
Fans and curators add your music because they like it.

Why it matters:

  • Stable long-term streams

  • Strong algorithm signals

  • Helps Spotify understand your “sound identity”

  • Great for niche growth

A song added to 50 small user playlists often performs better than one big editorial.

How to win:

  • Create your own playlists

  • Ask fans to add your track

  • Collaborate with small curators

  • Use TikTok/IG to spark organic adds

🧠 What Actually Matters Most?

Here’s the priority list for real growth:

  1. Algorithmic → long-term fan discovery

  2. User playlists → stable streams & strong data

  3. Editorial → short-term spike

Editorials feel exciting, but algorithmic + user playlists are what grow careers.

If you want, I can break down how to land each playlist type step-by-step in a future issue—just reply with “yes”.

Talk soon,
MovGrowth 🎵🚀

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