The growth engine ran every single day for 90 days. Toggle a metric to see the daily rhythm of real engagement we put to work for this artist.
0
Story views · 90-day total
03Fan AcquisitionTracked window
From a scroll to a follow
Every person the engine touched is tracked end to end. Here is the real conversion funnel from the measured window: 10,386 fans engaged, 22.4% followed back.
People engaged
10,386
100%
Story viewed
7,086
68.2%
Story liked
5,352
51.5%
Followed back
2,323
22.4%
04Targeting IntelligenceSource by source
What actually converted
We don't guess. Every source is scored on real follow-back conversion, not vanity volume. Here is the live leaderboard: filter and sort the sources we tested for this artist.
Sources tested
38
Winners ≥20%
21
Avg conversion
22.1%
Best source
49.9%
#
Source
Type
Conversion
Rate
05The ExperimentsWhat we ran
A lab, not a spray gun
Test 01
Followers vs Likers
We split sourcing between people who follow scene artists and people who like their posts, two very different intent signals.
Result: follower-sourced fans converted higher (top 5 of 6 were follower-type).
Test 02
Source rotation
38 scene sources cycled through the engine. Cold ones cut at the 72-hour read, proven winners kept and scaled.
Result: 21 sources cleared the 20% bar, the dead weight pruned.
Test 03
Niche purity
Every source hand-picked from this artist's exact lane: melodic & peak-time techno, not generic EDM.
Result: 22.1% average follow-back, roughly 4× a cold audience.
06The SceneWhere the fans live
Engineered for the underground
The targeting map for this artist reads like a techno festival line-up. Real fans, drawn from the exact rooms this artist plays.
Melodic TechnoPeak-TimeDrumcodeCharlotte de WitteJoris VoornBart SkilsOliver HuntemannRebūkeTita LauMiss MoniqueAïdaUndergroundFestival MainstageWarehouse
07Content PerformanceTheir 23 posts
The audience shows up
An engaged fanbase isn't just a follower count. It's reach. Across 23 posts in the window, this artist's audience delivered real numbers.