Bladee
Every measured song, ranked by the share of Bladee's own players who named it correctly — never compared to a different artist's catalogue. This is what a full Muzify roster report looks like for one artist.
Catalogue recognition
Share of Bladee's own players who named each song correctly. Thin marks show the 95% interval. Ranked within this artist only.
Recognition vs streams
A cult-favourite pattern: recognition sits well above what Spotify popularity alone would predict for this catalogue.
Western Union — Spotify popularity 58, 93.4% of this artist's own players name it correctly (n=244). Amygdala — Spotify popularity 54, 93.4% of this artist's own players name it correctly (n=244). Both songs sit in the popularity-50s, a range that predicts middling recognition — instead over 93% of this artist's own players name them correctly. The audience carries these songs in their heads well beyond what the streaming number alone would suggest.
Markets
How many times more this artist is played in a country than that artist's global share predicts. Bands only, never an exact player count — at least 20 distinct players stand behind every published cell.
Taste neighbours
Artists whose players overlap the most with Bladee's, learned from who plays whom.
One recommended experiment
The Eastern-Europe market cluster (Russia, Poland, Ukraine, all above 2× lift) plus the Yung Lean / Ecco2k overlap suggest a natural co-bill or playlist-seeding test in that region — recognition data can point at where an audience already exists before a promo budget is spent finding out. This is a data-informed suggestion for where to look next, not a projection of streams, tickets, or campaign return — we don't have pilot evidence yet to back an outcome claim.
- First-exposure recognition isn't isolated yet — a returning player can meet a song again in a later session and score higher the second time (see the homepage FAQ).
- No link to streams, tickets, or campaign outcomes exists in this data — recognition is a leading signal, not a sales projection.
- Week-to-week demand spikes aren't yet attributed to a cause (release, playlist, promotion). Not guessed at here.
- This pull is from 2026-09-20; the homepage catalogue view may show a slightly different report-ready count on a different refresh night — both are real, just not the same minute.
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