FOR ARTIST MANAGERS
Music Tomorrow gives artist managers — and independent artists building their own careers — access to best-in-class algorithmic intelligence. Understand how the algorithm positions your artist today. Prepare every release with deep market intelligence and audience insights, not gut feel. Make the collaborations and career decisions you can actually stand behind.





















WHAT MANAGERS DO WITH MUSIC TOMORROW
Know exactly which playlists, listening contexts, mood and genre signals the algorithm associates with your artist, and which adjacent audiences create natural growth opportunities. Walk into every label meeting, DSP conversation, or release planning session knowing exactly where your artist stands — and where to go next
Used with: Audience →Music Tomorrow maps your artist’s algorithmic profile, identifies the right audiences to target, and helps you build a tailored action plan for each each release. For managers who want clear direction without digging through the data themselves, Copilot turns data into a ready-to-act briefs. Priorities, recommendations, and next steps, delivered monthly
Used with: Copilot →Find the right artists for collaborations, remixes, and live shows. Music Tomorrow surfaces peers in your niche with genuine audience overlap, validates their algorithmic trajectory, and gives you the data you need to make career decisions with confidence.
CUSTOMER STORY
Bishop Ivy’s artist team used Music Tomorrow to fix a fundamental problem before their next EP release. Past campaigns had tied the artist’s profile to misaligned audiences, pushing new releases to the wrong listeners. Using Music Tomorrow, the team identified three audience clusters that matched the EP’s sound and generated precise targeting materials for Meta, pairing every single on the EP with the audience most likely to compound into algorithmic exposure.
In the three weeks after the EP drop, it generated more algorithmic streams than his previous EP had accumulated in over two years. Algorithmic stream share hit 45% — driven almost entirely by Discover Weekly and Release Radar, with no Discovery Mode push. Compared to the previous release cycle, run on a similar budget and timeline, the EP saw an 11× uplift on algorithmic streams.
See every audience the algorithm already associates with your artist — size, demographics, genre context, peer artists →
Monthly strategic guidance on where to focus — without doing the data analysis yourself →
Deep audience reports, generated in one click — shareable with the artist, the label, and the agency →
Turn audience data into ready-to-paste briefs for Meta, YouTube, Marquee and Showcase →
Sign up and run your first artist analysis free — no card required. Or talk to the team about ongoing Copilot support for your roster.