Platform
Detects. Decides. Delivers.
Pacer is an AI-native operating system for artists, labels and music teams: intelligence, execution and distribution working as one system, built to help music travel further after release.
Intelligence
Pacer tracks your catalog, social signals and streaming data, and turns them into decisions: what to work, when, and where.
- Catalog data connected once
- Signal tracking across streaming and social
- Track-level scoring against a title's own history and its genre
- Momentum detection, trend analysis and social listening
- A ranked view of what is worth working this week
Execution
From any track to a full campaign in one flow. Pacer generates the plan and the assets, and runs the campaign with you or for you.
- Campaign plans built from the track's own signals
- Assets drafted for approval
- Scheduling and sequencing, with task templates, approvals and dependencies
- Adjustment as results land, with real-time alerts and one-click reporting
Distribution
A structured fan page and creator network, activated by the intelligence layer, that puts your music where audiences already are.
- Fan page and creator network activation
- Reach in the communities and creator feeds where discovery actually happens, matched to the track rather than sprayed at an audience
- Community engagement and conversion actions
- Clipping and content repurposing across formats
Security
Your data stays yours
Private sandboxed environments for enterprise and label partners. Client data is firewalled per partner and never feeds shared or public models. Modular API access means Pacer plugs into your stack, on your terms.
“For enterprise adoption, the tool must prioritize data trust, firewalling, and protection, rather than just raw data access.”
Modular by design
Built to fit your stack, not replace it.
Pacer orchestrates. Your existing tools keep doing what they do. The intelligence and execution layers plug in through open contracts, so a distributor, a platform or an enterprise can run Pacer inside what it already operates.
Orchestrates, does not replace
Best-in-class services execute; Pacer decides what runs, when, and for which track, and reports it back in one place.
Intelligence inside your stack
The intelligence module can run against your data where it lives, surfacing what to work next without moving the catalog.
Nothing rebuilt when you switch
Start managed, move in house, run both: same platform, same data, same reporting. Modular API access on your terms.
Ingestion, analysis, orchestration, distribution: one pipeline, built for catalogs of any size and open at every stage.
- Spotify for Artists
- Apple Music for Artists
- YouTube
- TikTok
- Mailchimp
- Zapier
- Google Drive
Your data sources, connected once. Modular API access means Pacer plugs into your stack on your terms.
Inside the platform
Everything your music already produces, turned into what it needs next.
Track data in. Intelligence analyses. Campaigns execute across the network. Results feed back in and the system gets smarter.
Compounding
Every campaign leaves it smarter about your catalog.
The more releases that run through the platform, the better the system optimises for your catalog. Every campaign teaches it what works, per genre and per platform.
A dashboard looks the same on day one and day five hundred. Pacer does not, because it is not a dashboard: every recommendation is shaped by every campaign that has run before, in your catalog and across the platform, so the answer to what to do with a track gets sharper the longer you use it.
Distribution
Reach you own, not reach you rent
Owned accounts reach a fraction of your audience. Paid media stops working the moment you stop paying. Pacer activates a structured fan page network that delivers multiples of official channel reach, targeted by the intelligence layer.
The difference is where the audience already is. Music discovery happens in communities and creator feeds rather than on brand accounts, so campaigns run where people are listening and talking, matched to the track by the same signals that flagged it. Reach you build this way stays available for the next release; reach you buy does not.
Workflows
Automate what drives growth. Prove what drives revenue.
Named workflows that turn signals into actions, each one measured.
UGC activation
Identify trends, source fan content, check rights, approve, distribute, measure impact.
Fan pages and communities
Audience insights, content planning, publishing, community engagement, conversion actions, measure and learn.
Content repurposing
Asset ingestion, repurposing across formats, publishing, testing, measured return.
Paid testing
Audience targeting, creative variants, test launches, spend optimisation, scale what wins.
Release and campaign performance
Audience targeting, channel planning, creative optimisation, launch, in-flight optimisation, report.
Every workflow is measured against the track it ran for.
Marketplace
The right partners, inside your workflow
Vetted services and tools, from playlist promotion to PR to creative, activated from inside the campaign rather than bought around it.
Verified network
Every partner vetted for quality and results.
Inside the workflow
Find, brief and activate a partner in a few clicks, inside the campaign it serves.
One connected system
Partners, services and their results, reporting into the same view as everything else.
Questions people ask before they buy
What data does Pacer need to connect?
Pacer connects to the sources you already have: your distribution or catalog data, streaming analytics, and the social accounts you run. Setup connects them once; monitoring is continuous from there. You do not need to move data out of your existing tools for Pacer to work.
What is a fan page network?
A fan page network is a set of community and creator pages where music discovery actually happens, activated by Pacer to carry a track to the audiences already listening to that kind of music. It is reach you build and keep rather than reach you rent, and it is targeted by the same signals that flagged the track.
Does Pacer work outside electronic music?
Yes. Pacer scores every track against its own history and its genre, so the intelligence is calibrated to whatever you release. Our earliest partners are concentrated in electronic music, which is where the deepest campaign learning sits today.
What is release execution?
Release execution is the work between deciding to promote a track and the result showing up in streaming numbers: the plan, the content, the pitching, the scheduling and the measurement. It is the part of music marketing that analytics tools identify but do not do.
Does Pacer replace the tools we already use?
No. Pacer works alongside your existing analytics, distribution and reporting tools and makes them useful operationally. Partners commonly keep their current data platforms and use Pacer as the layer that turns what those tools show into campaigns that run.
How does Pacer measure results?
Pacer correlates each campaign action with streaming performance for the specific track, per platform, in real time. That produces attribution at track level rather than channel level, so you can see which activity moved saves, playlist adds and repeat listens.
Is our data secure and private?
Yes. Enterprise and label partners run in private sandboxed environments, client data is firewalled per partner, and it never feeds shared or public models. API access is modular, so Pacer connects to your stack on your terms.