How to Get Your Music on Spotify Discover Weekly

This page is for artists. If you make music and you are trying to get your own songs in front of new listeners through Discover Weekly, you are in the right place. If you landed here as a listener looking for your own weekly mix, you want how to find your Discover Weekly playlist instead.

Here is the honest part first, because it saves you a lot of wasted effort: you cannot pitch Discover Weekly. There is no submission form, no editor to email, no button in Spotify for Artists that puts you in the running. Discover Weekly is fully algorithmic. It is built for each listener individually, mostly through collaborative filtering, which means Spotify compares one person's taste to the taste of people who listen like them and surfaces songs those people love that the listener has not heard yet. Nobody hand-picks it. So anyone selling you a "Discover Weekly placement" is either confused or lying.

That does not mean you are powerless. You do not submit to the algorithm, but you do feed it. Everything below is about generating the signals that make Spotify decide your song is worth recommending.

What actually influences Discover Weekly

The algorithm is watching how real people react to your track, not how many streams you can rack up. A few signals carry most of the weight.

Save rate. When someone saves your song or adds it to their own library, that is a deliberate act. It tells Spotify the listener wants to hear this again. Saves are worth far more than a passive play that came and went.

Completion and low skip rate. If people listen past the first 30 seconds and let the song finish, that reads as a good fit. If they skip in the first few seconds again and again, that reads as a bad one. A front-loaded skip rate in the 35 to 40 percent range is a warning sign that your intro or your targeting is off.

Playlist adds by real users. Not big pay-to-play lists. Regular people adding your track to the playlists they actually listen to. That behavior is one of the strongest hints that a song belongs next to certain other songs, which is exactly the map collaborative filtering is drawing.

Listener-to-audience fit. Spotify wants to recommend your song to people who will like it. If your early listeners are a tight, genre-consistent group who engage, the algorithm learns who to show it to next. If your streams come from a scattered, random crowd who skip, the signal is muddy.

Steady engagement over raw stream count. Ten thousand streams from a bot farm in two days does nothing good for you. A few hundred genuine saves and strong completion across a normal release window does a lot. Consistency and quality of engagement beat a single spike every time.

Notice what these have in common. They are all things real fans do. You cannot fake your way into them without tripping Spotify's fraud detection, which I will come back to.

For the bigger picture on how the whole system fits together, the refresh timing, and how it differs from other mixes, see the full guide to how Discover Weekly works.

What you can actually do

You are not pitching Discover Weekly. You are building the conditions that make the algorithm choose you. These are the moves that matter.

Pitch your release to editorial playlists

You cannot pitch Discover Weekly, but you can pitch human-curated editorial playlists through Spotify for Artists, and this is the single most useful thing the platform lets you do. When you have an unreleased song, go to your Spotify for Artists dashboard, pick the one song from the release you want to pitch, tell the editors your story, tag the genre and mood, and submit it before the release date. Spotify's own guidance is blunt about timing: their editors get thousands of pitches a week, so the earlier you pitch, the better. Aim for at least seven days ahead.

Even if no editor picks your song, this step is not wasted. Submitting through Spotify for Artists is also what guarantees your followers get your new release in their Release Radar, and an editorial placement floods the song with fresh, targeted listeners whose reactions become the raw data Discover Weekly runs on. Editorial support is often the on-ramp that leads to algorithmic support a few weeks later.

Earn saves and adds, on purpose

Tell your existing fans exactly what helps: save the song, add it to a playlist, come back and play it again. Run a pre-save campaign before release so a batch of saves lands the moment the track goes live, which gives Spotify an early engagement signal instead of a slow trickle. This is not gaming anything. These are your real fans doing normal things, just at a time when it counts most.

Get on real user playlists

Focus on niche, genre-specific playlists made by actual listeners rather than giant generic ones. A song sitting on ten real playlists full of similar artists teaches the algorithm where it belongs. Build a few of your own playlists too, mixing your tracks with artists you genuinely sound like, and share them.

Consider Discovery Mode and Marquee

Spotify has two paid tools that can nudge things, and it is worth being clear-eyed about both.

Discovery Mode lets you flag priority songs, and Spotify then weights them more heavily in personalized contexts like Radio and Autoplay. There is no upfront cost. Instead Spotify takes a commission (a 30 percent cut of recording royalties) on streams that happen in Discovery Mode contexts. Spotify is explicit that it does not guarantee recommendations, and that if listeners do not engage, the algorithm backs off. It also has real requirements: you generally need at least 25,000 monthly listeners, a handful of eligible songs, and it is still rolling out, so not every artist can access it. Spotify reports strong average lifts for songs in the program, but treat those as best cases, not promises.

Marquee is a full-screen sponsored recommendation that shows on the Home screen to fans and likely fans when you drop a new release. It is a paid campaign, not free reach, and it is aimed at building day-one momentum. That early momentum, more saves and streams from a targeted audience, is the kind of signal that can eventually feed algorithmic playlists.

Neither tool puts you on Discover Weekly directly. They increase the odds by manufacturing more of the real engagement the algorithm reads.

Realistic timelines

Discover Weekly is a lagging reward, not a launch-day event. The algorithm needs enough data to trust that your song has a clear audience, and that data accumulates over the first few weeks of a release, not the first few hours. A reasonable pattern is to release consistently, roughly a single every four to six weeks, so Spotify always has fresh signal to work with, and to think in terms of the first 28 days of a release rather than the first afternoon.

If a song is going to catch algorithmic wind, it often starts showing up in Release Radar and Autoplay first, then Discover Weekly for listeners who match its profile. Modest, real numbers over that window, genuine saves and strong completion, do more than a huge one-day burst. There is no guaranteed timeline and plenty of good songs never get picked. Anyone promising you a date is guessing.

A warning about schemes and bots

This is where artists sabotage themselves. Playlist schemes that promise streams for cash, bot services, and "guaranteed" placements do not just fail to help. They can get your music flagged and pulled. Spotify's fraud detection looks for exactly the fingerprints these services leave: uniform completion rates, streams from geographies that do not match your real audience, and unnatural spikes. Getting caught can strip a track out of algorithmic rotation entirely, or worse. The whole system is built to reward genuine listener behavior, so buying fake behavior works against the one thing that actually moves Discover Weekly.

If a service guarantees Discover Weekly, walk away. The playlist is algorithmic and personalized. No third party can place you there, and the ones who claim they can are the ones most likely to get you flagged.

One more practical tip. Discover Weekly is built from what listeners actually play, so it helps to understand your own audience the same way. You can check your real top artists and tracks on Music Profile Viewer to see how your listening, and your fans' listening, actually looks to Spotify.