We analysed 28.1 million streams, 34 releases and 9,246 logged predictions between 1 April and 30 June 2026. This report shares what separated the releases that kept growing from the ones that faded, including a campaign that lifted an artist's daily streams by half until the day it stopped.
All artist, song and label identities are anonymised. Every figure is computed directly from observed daily Spotify for Artists data. No projections, no estimates, no fabricated benchmarks.
Based Audio ingests daily Spotify for Artists data (streams, listeners, saves, playlist activity and algorithmic surface breakdowns) and scores every artist state daily, across pop, R&B, dance and house, Afro and amapiano, Latin, folk, reggae, and rock and metal rosters.
Two paid campaigns ran across the roster in Q2. Both created a clear lift in daily streams once spend began, but one release held momentum and kept growing while the other faded as soon as the paid exposure stopped. Within days of Campaign 1's spend finishing, Discover Weekly picked the catalogue up entirely unpaid. The paid exposure was temporary; the algorithmic momentum it helped create wasn't.
Two tracked releases sat at opposite ends of the engagement spectrum. Release D peaked above 2,000 streams a day but, saved by fewer than one in a hundred listeners, fell to single digits within weeks. Release J, saved by one in five listeners, never had a dramatic peak and never needed one: its base held steady all quarter at a level Spotify kept feeding. Exposure opens the door; saves keep it open.
We compared the first 30 days of every Q2 release with at least four weeks of observed data. Release B had by far the biggest launch of the quarter and had lost two-thirds of that pace by week 4. Release C logged five streams in its entire first week and was doing 7,500 a week a month later. Across all eight releases, week-1 volume simply did not predict which group a release would land in.
From May, when surface-level tracking began, 31.5% of all streams we observed were algorithmic, 7.0M streams in total. Algorithmic Mixes (2,257,323) and Radio (1,641,277) did the heavy lifting; Release Radar delivered 249,894 and Discover Weekly just 64,750. The biggest gains consistently arrived after Spotify gained confidence in a track, not on release day.
Based Audio logs a prediction for every artist, every day, then grades it against what actually happened: 4,833 graded in Q2. Weekly trend direction is learnable: our model scored 49.2% on three-state calls against a 40.8% persistence benchmark. Next-day calls are the opposite story: even our model only hit 15.1%, and naive "same as yesterday" beat it. We publish that number because it is the point: single-day stream moves are dominated by noise.
The quarter's biggest launch faded to a third of its launch pace by week 4, while a release with five first-week streams was doing 7,500 a week a month later. Launch-week size did not predict which releases were still growing a month on.
Discover Weekly delivered 64,750 streams across the entire roster in Q2, under 1% of the 7.0M algorithmic streams we observed. Radio and algorithmic Mixes did the heavy lifting, and algorithmic surfaces out-delivered editorial playlists roughly 2.5-to-1.
Weekly trend direction is learnable (49.2% correct against a 40.8% persistence benchmark). Exact next-day calls scored worse than assuming nothing changes. Reading meaning into a single day's rise or fall is, statistically, reading noise.
"Campaign spend generated exposure. Listener behaviour decided whether Spotify kept recommending."
Every paid campaign we measured lifted daily streams while spend was active, and in every case the paid streams themselves decayed rather than compounding. What differed was the handover: one campaign gave the gains back entirely, while the other seeded an unpaid Discover Weekly pickup just past quarter-end.
Nine pages of charts, methodology and anonymised release-level data · PDF · 2.3 MB
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