FOR A&R
Music Tomorrow gives A&R teams at labels and distributors the audience and discoverability intelligence to validate signings, source new talent from your roster's communities, and unlock the right collaborations — backed by real Spotify algorithm data, not vibes.
WHAT A&R TEAMS DO WITH MUSIC TOMORROW
Look at an artist's real algorithmic audience before you sign. See who's actually listening, where the audience is growing, whether the listener profile is the one you want to build on, and how the artist is positioned against your existing roster.
Identify which collaborations actually expand reach. Find artists with overlapping algorithmic audiences whose features will compound — not cannibalise — and brief the campaign with audience data, not assumptions.
Look inside the algorithmic communities of your existing artists. Surface the rising and fastest-growing artists who share their audience — but haven't broken yet. Spot tomorrow's signings before the rest of the industry sees them.
CUSTOMER STORY
When French label Tôt ou Tard prepared Vianney's album "À 2 à 3" — built around collaborations — they used Music Tomorrow to analyze the algorithmic audiences of each featured artist. The model surfaced which collaborations had genuine audience overlap with Vianney's existing fanbase, which would expand reach into new but adjacent communities, and which would dilute rather than compound.
With those audience clusters in hand, the team briefed targeted marketing operations — including optimized use of Spotify's Marquee feature and more precise ad targeting — to reach the right listeners for each collaboration.
We work with A&R teams across audit and ongoing Copilot engagements — backing their signing, collaboration and talent-sourcing decisions with the same algorithmic audience intelligence used by the labels' marketing and catalog teams.
