Spotify, Apple Music and YouTube Music all have playlists, but the playlists do not work the same way. Each platform mixes editors, algorithms and listeners in its own proportion, and a plan that works on one may do little on another. Knowing the difference helps you spend your energy where it actually reaches people.
Three kinds of playlists
Before comparing platforms, it helps to name the three families you will meet everywhere.
- Editorial playlists are made by the platform's own staff. They are built around genres, moods, regions or new releases.
- Algorithmic playlists are put together by software for each listener, based on what that person plays, saves and skips. Song radio and autoplay belong here too.
- User playlists are made by listeners, independent curators, brands and artists themselves.
The balance between these three is what makes each platform different.
Spotify playlists
Spotify is the platform where artists have the most direct access to editors. Through Spotify for Artists you can pitch one unreleased song from each release to the editorial team, with a description of the genre, mood and story. It is not a guarantee, but it is a real door, and it only works before release day.
Many Spotify editorial playlists are also personalised. Two people opening the same playlist may see different songs or a different order, because editors choose the pool and the algorithm arranges it for each listener.
Algorithmic playlists carry a lot of weight. Release Radar shows followers new music from artists they follow, Discover Weekly suggests music a listener has not heard yet, and Daily Mixes and song radio keep people listening. Your followers are the starting point for much of this, so a follow is worth more on Spotify than it looks.
Spotify also has the strongest culture of public user playlists. Independent curators run playlists with real audiences, and listeners build huge playlists for gyms, drives and study sessions. That same culture attracts scams: anyone selling guaranteed placements or a set number of streams is a risk to your release.
Apple Music playlists
Apple Music leans more on human editors. Its playlists are often organised by genre, region and mood, and Apple also runs radio with human hosts. Editorial pitching on Apple Music has traditionally gone through labels and distributors rather than an open form for every artist, so check what Apple Music for Artists offers today and what your distributor can do.
Personal mixes such as New Music Mix and Favourites Mix work like Spotify's algorithmic playlists: they are built from each listener's library and habits. When an album or playlist ends, autoplay continues with similar music, which is another quiet source of new listeners.
User playlists exist and can be shared, but discovery on Apple Music relies more on editors, personal mixes and a listener's own library. Many Apple Music users build a collection and return to it, so being added to someone's library matters.
YouTube Music playlists
YouTube Music is built on YouTube, and that changes things. Its catalogue holds official audio tracks (often called Art Tracks), official music videos, lyric videos, live versions and uploads by other people. A playlist on YouTube Music can mix all of these.
Automatic mixes and radio are central here. A listener plays one song and YouTube Music keeps going, building a stream of related tracks and videos. Personal mixes for each user, including ones for new releases and for discovery, follow the same logic. There are editorial playlists made by the YouTube Music team too, but no general pitch form for every artist comparable to Spotify's, so check what is currently available through your distributor.
Playlists created on the main YouTube site also appear in YouTube Music. That makes your music video and your channel part of your playlist strategy. An Official Artist Channel brings your channel and your Topic channel together, so listeners land in one place. In the CULT portal there is a request form for it, although YouTube makes the final decision.
How to plan for all three
Take the made-up singer Nina Hale. She pitched her single on Spotify three weeks ahead, asked her distributor about editorial options on the other services, and spent the release week building followers on each platform. A month later her reports showed most Spotify streams coming from Release Radar and user playlists, most YouTube Music plays from autoplay after her video, and Apple Music listens coming mostly from people's libraries.
A few habits that work across the board:
- Grow followers on every platform. Personalised new-release playlists start with people who follow you.
- Pitch early, with accurate metadata. Genre, language and mood help editors and algorithms place your song correctly.
- Make your own playlists. An artist playlist on each platform, mixing your songs with music you genuinely love, gives fans a reason to follow you there. Update it regularly.
- Respect user curators, avoid sellers. Write to real curators with a short personal note. Never pay for guaranteed placements.
- Read the source data. Each platform's artist tools show whether streams came from editorial, algorithmic or user playlists, or from libraries. Compare platforms and adjust.
If your distributor offers pitching to editorial playlists (at CULT it is part of the New Artist and Professional Artist plans), use it, but treat it as one door among several. The steady work of followers, playlists and good metadata is what keeps a song moving on all three platforms after release week.