How I Got 1 Million Spotify Streams Per Month With These Small Artists

An account sitting at 500k monthly streams for years. Small artists. Minimal followings. Then we changed one variable: release frequency.

Streams doubled to over 1.1M per month.

Here's what made the difference.

The account had been dormant for two to three years. Once we started releasing music every couple of weeks, the graph moved sharply upward. Not because of bigger budgets or better curators. Because Spotify rewards consistency.

Every release is a chance for the algorithm to test your music. Every release trains listeners to check back. Miss weeks or months and you lose momentum.

Song length matters less than you think. Keep tracks around 3 to 3.5 minutes when it fits, but if the song needs 4 minutes, let it breathe. The music comes first.

Getting onto playlists in the first day or two of release creates the engagement spike that signals quality to Spotify. That is where Playlist IQ came in.

We built Playlist IQ after watching artists waste most of their budget on rejection notes. The two stage system keeps budget focused:

- Curators respond with interest for free
- You only pay for feedback when they say yes
- Use filters like estimated streams, follower growth rate, and Trust Score to target lists that actually deliver
- Submit up to two weeks before release so placements hit on day one.

Strong initial boosts from playlists have successfully triggered the Spotify algorithm on every single release. 

So far, there has not been a single time that we boosted a song and not seen significant algorithm traction.

Caveat... this does depend on the quality of the music. This is sobering, but necessary. The algorithm will tell you if your music is quality enough or not.

AND... not every song of yours will get the SAME algorithm push.

The best ones will get the most while others may only a get a little.

Most artists treat each release like a standalone event. The breakthrough came from building a system where every release lifts the entire catalog.

Here's the play step-by-step:

- Look inside Spotify For Artists and find older songs that had the best save ratio (saves divided by listeners)

- Run some ads to a playlist through TIMAM Meta ads to find which creative converts cheaply (You put the song at the top of the playlist)
- Once you find a winner, scale up ad spend or create additional playlists also featuring that same song
- Put new releases of yours near the top of those playlists as well
- When ads drive traffic to one song, listeners discover three or four more

This creates residual plays that compound across releases instead of resetting to zero every time.

*Note: this strategy really only works whenever you have a good performing ad ($0.20 or less per conversion for Tier 2 countries or $0.30 or less per conversion for tier 1 countries).

If you are not seeing those numbers, you likely need to test more songs for your ads and try having us run them for you.

Yes, you can run your own Meta ads and we encourage everyone to try it; however, there is something to be said when we have a track record of achieving under $0.10 per conversion in tier 1 countries on our best ads. 

Check out the Meta ads case study for proof below.

NEVER run ads directly to Spotify. You should always run them to a landing page that has a Spotify link on it so that it is trackable. The landing pages that worked best for us had one element: a Spotify button.

You can make unlimited landing pages for free by clicking here.

When creative and targeting are dialed in, our cost per click dropped to $0.03 to $0.07. Even spending under $1,000, campaigns stayed profitable.

Our TIMAM Meta Ads handles creative, targeting, and optimization so that you don't have to bother running ads and figuring out the oh-so-wonderful Meta ads interface:

- Proven video hooks for music
- Genre specific audience targeting
- Rapid testing and creative recycling across releases

The artists in this account had minimal followings. What they had was consistency, early playlist momentum, and efficient ads that created the behaviors Spotify rewards: saves, completions, and playlist adds.

When you release weekly or every two weeks:

- Spotify tests your music more often
- Listeners build the habit of returning
- Each release lifts older tracks through playlist discovery
- Algorithmic playlists compound reach over time

Releasing often and having a strong playlist & meta ads flywheel led to these small artists doubling monthly streams in the LANDR account. The catalog flywheel effect meant every new release lifted old songs, creating compounding growth instead of one week spikes.

Recent Posts

START HERE

LEGAL