Music Match is an algorithm-powered discovery tool that finds the songs in the ecosystem most closely matched to your specific playlists.
Music Match
What Is It?
Music Match is an algorithm-powered discovery tool that finds the songs in the ecosystem most closely matched to your specific playlists — based on mood, sonic characteristics, and transformation data.
How It Works
Select any of your playlists as the center point
Music Match generates a visual universe of songs from the ecosystem that are closest in mood and sonic profile to that playlist
Each song is represented as a bubble — the size of the bubble reflects the artist's relative popularity
You can request 25, 50, 75 or more recommendations at a time
Any song you like can be added directly to your Curation Tray from the Music Match view
The Algorithm — How Songs Are Matched
Music Match uses a 4-quadrant mood and transformation model:
Instead of relying on a single mood tag, the algorithm determines where a song sits across four mood quadrants
It then finds your playlist's position in that same quadrant space
Songs closest to your playlist's quadrant position are surfaced as recommendations
This means matches are based on sonic DNA, not just genre labels
What Music Match Earns You
Any placements or proposals made through Music Match count toward your Discovery Max Weekly Pay.
Music Match is essentially a smarter, more targeted way to find songs for the same Discovery earnings pool
Think of it as the universe view of Discovery — same revenue lane, different (and more precise) way of finding songs
Tips
Use Music Match when you want highly targeted recommendations rather than browsing the full promotion pool
Larger bubbles = more popular artists — useful if you want to add well-known names to your playlist
All playlists with at least 1 follower will appear in Music Match starting with the 1.9 release