How we measure
We only count
what we can prove.
MAVA reads the conversion data from every ad platform and matches it to the streams it actually drove — release by release — so the numbers you plan against are the ones you can prove. Here's exactly how that works.
We match ad data to the streams it drove
MAVA reads each platform's ad conversions and matches them to the streams that actually followed, release by release — so you can see which dollar drove which stream, not a platform's version of it.
We count observed streams, not guesses
Every stream MAVA attributes is one it can see land on a platform. No modeled "estimated lift," no projected numbers dressed up as fact.
We trace paid streams to the right service
When an ad drives a click, MAVA identifies which service it landed on — Spotify, Apple Music, or YouTube Music — from each platform's per-service conversion. So a paid stream is tied to where it actually went, not pooled into one number.
And paid attribution caps itself
A backstop on top of the match: in the rare case tracked conversions outrun the streams we can observe, MAVA holds the paid number to the observed total — and shows you, in product.
The method
How attribution works, start to finish
Three steps, no black box — and you can see every one of them in the product.
Centralize
Spend and outcomes from every platform, pulled into one place and read in music's language — streams, paid vs. organic, cost per stream.
Match
MAVA reads each platform's ad conversions and matches them to the streams that actually followed, per release — so you can see which dollar drove which stream.
Verify
Every number opens to its source in the product — per release, per platform, no black box. You see exactly what drove the count, and what it was held to.
The mechanism
We match the ad data to the streams it actually drove.
MAVA reads pixel-based conversion data from every ad platform and matches it against the streams it can observe, release by release — so you see how many streams your spend actually produced, not a platform's version of it.
And when the tracked number would outrun what we can observe, we hold it to the observed total — the honest figure, not the flattering one.
We'd rather be useful than impressive.
Spotify · Apple Music · YouTube Music — actual, per release
From ad conversions, matched to observed streams
Most of a release's streams come organic. MAVA shows you the streams your spend actually earned — and never counts the rest as paid.
Data freshness
What updates, and when
No pretending streaming is real-time. It's daily — and we're upfront about why.
Streaming updates once a day because that's the cadence the platforms report on — Spotify, Apple Music, and YouTube Music all process streams daily, so daily is as fresh as the source gets, not a limit on our end. Ad spend and social report continuously, so we refresh those through the day.
Trust the number. Then act on it.
Start with your next releases
Bring us your next releases. We'll run them with you.
We onboard a few labels at a time. We scope a few of your artists and their upcoming releases, then run them with you — free for 60 days. It starts with a discovery call: your roster, your goals, and where the bottlenecks are, then a tailored onboarding plan.
60 days free · white-glove onboarding · no card, no commitment.