Arrangement analyzes social media audience data to find the overlap between a musician's followers and a brand's ideal customers — then predicts the deal value and brokers the partnership.
Pre-computed audience overlap scores, engagement lift predictions, and deal price ranges — generated from real demographic data across 64 artist-brand pairings.
We ingest social media follower data from musicians and cross-reference it against brand customer profiles. The overlap reveals which partnerships will actually resonate.
Historical data powers our prediction engine. Before anyone shakes hands, both sides see the projected sales lift and fair market price for the partnership.
We send the brand a data-backed proposal: here's your match, here's the projected ROI, here's the price. No cold pitching. Pure signal.
Brand says yes, we extend the offer to the musician. Both sides agree on terms, and the sponsorship deal is locked. No agents, no endless email threads.
The music industry has democratized distribution. An artist can put their song on Spotify in minutes. But brand partnerships? Those still run on handshakes, connections, and guesswork. We're fixing that with data.
Stop leaving revenue on the table. Your audience has buying power that brands will pay to access. Arrangement finds those brands and brings them to you with a real offer, not a cold DM.
Stop guessing which creator will move product. Audience overlap data tells you exactly which musician's followers are your customers. Predicted sales numbers, not vibes.
Music-brand partnerships are a $40B+ opportunity being served by enterprise platforms and manual processes. The mid-market — independent artists, growing brands — needs a self-serve solution.
Be first when we open access. Join the waitlist and we'll reach out personally when your spot is ready.