CASE STUDY
mehro x CONTXT
Two releases.
26 million views.
Attributable audience growth.
THE NUMBERS
The impact the campaign created
0M+
creator views
0.00M
shares
0
creator posts
0
saves on the hero track
CAMPAIGN 01
Calling All Angels (432 hz)
30 March to 12 May 2026
Paid ads, creators, playlists. A multi-pronged approach.
PAID ADS
The ads paid their way
0
pre-saves at £0.57 each
0
clicks to stream at £0.35 each
0.0M
people reached
CREATOR CAMPAIGN
The sound took off
0
views
0
posts
0.00%
engagement rate
0
shares
TikTok averages 5 to 10%. This sat near 25%.
@enzorealasf, 2.6M views
@inniz, 1.7M views
@narravis, 1.1M views
SPOTIFY
People kept it
0
streams
0
listeners
0.00
streams per listener
0
saves
0
playlist adds
Saves and playlist adds keep feeding Discover Weekly and Release Radar for months.
RELEASE ON RELEASE
Bigger than the last release, on every number
Calling All Angels vs mehro's previous release, ketamine, first 28 days.
Streams
+25.1%
Listeners
+57.6%
Saves
+103.3%
Playlist adds
+144.8%
SOUND USAGE OVER TIME
The sound spread fast
0.0M
sound views
0.0M
peak day, 8 April
4 weeks
from a standing start
STREAMS OVER TIME
Streams followed
0
streams in six weeks
0K
first four days
0K
by day 18
CAMPAIGN 02
Like You're God + Who Are You
Creator-led, across two tracks.
CREATOR CAMPAIGN
Mirrored impact of first campaign
0
views
0
posts
0.00%
engagement rate
0
shares
0
likes
Like You're God pulled ahead mid-campaign and kept climbing.
Repeat creators
@orinilu @narravis @uisxe @inniz @mindfulsources
Top post, "I choose you..." by @orinilu, 1.6M views
SOUND USAGE OVER TIME
A second wave
0.0M
sound views
0
creator posts
8 weeks
June to August
TOGETHER
What the two campaigns built
0M+
views across both releases
0.00M
shares
0
creator posts
Momentum the next release starts from.
CONTXT
How we did it
Release planning
Mapped before a pound is spent.
Paid ads
Instagram and TikTok. Budget follows what works.
Playlist pitching
Pitched where the track fits.
Creator campaigns
Creators who make the sound travel.
Insights
Real fan data behind every call.
Nimble approach
Iterating at every possible point to optimise the result.
