git-royal
Perspective

The real moat isn't one audience — it's automating the whole stack.

A git-royal position paper.

By the git-royal team

Building a retargeting audience is table stakes now — plenty of tools can make one. The durable edge is different: it's automating an artist's entire warm-audience stack, and retargeting each part on its own terms, on every release, without anyone lifting a finger.

An artist has more than one warm pool

Once an artist is releasing and touring, they're sitting on several distinct audiences, each with its own shelf life under Meta's rules: release engagement from the pixel (up to 180 days), social engagement — profile visitors, video viewers (up to 365), buyers (now up to 730), an email/SMS list that never decays, and lead-form / tour signups (about 90). Most artists — and most tools — treat these as one blur, blast the same ad at all of them, and leave 90% of the value on the table.

The work is in the seams, and the seams are automatable

The pro move is to retarget each pool with a different next ask — previewed → stream, streamed → follow, engaged → merch or tickets — and to exclude whoever already took that step, then expand with a lookalike off the warmest seed. Done by hand, that's hours of Ads Manager per release. But it's also rules — which source, which window, which exclusion, which seed — and rules are exactly what software should run.

Where we are, and where this goes

Today git-royal automates the highest-leverage layer: it keeps your pixel fed server-side and builds the release audience on Meta in one click. The road from here is to automate the rest of the stack — social and list audiences, converter exclusions, lookalikes — and to assemble the campaign itself as a paused draft you just approve. Each manual step we watch a real artist repeat becomes the next thing we automate.

The majors don't win because their music is better. They win because their data — and the machinery on top of it — is. That machinery is what we're handing to everyone else.

The moat isn't a feature; it's the compounding of many small automations that no individual artist has the time to run. Build enough of them, and the artist's ad spend quietly gets more efficient with every release — which is the whole game.

See the audience stack and the windows in practice.

The retargeting playbook

Related: the almost-fan and the retargeting overview.