Audience Intelligence for Live Music
Turn data into incremental revenue for live music
Fansurge is the decision engine that replaces gut instinct with machine learning — helping promoters sell more tickets, book smarter tours, and unlock brand partnerships.
A £30bn industry running on gut feel
Key decisions are driven by 'expert knowledge'
Musicians make the vast majority of their income from touring — gigs and festivals. Yet the live music industry remains deeply unsophisticated. Which cities to play, what size venue, which support acts, which brands to approach — these decisions are made on instinct, not evidence. Tours and festival appearances are auctioned to promoters as one-off contracts through an expensive, transactional process that leaves revenue on the table.
Every decision backed by data
Fansurge ingests data from across the live music ecosystem — social media, streaming, radio, venues, festivals, awards, and industry intelligence — then uses machine learning to find patterns, create audience clusters, and surface actionable insights that drive incremental revenue. Add first-party ticket sales data and it becomes transformative.
Fansurge answers the questions that drive revenue — at every stage of an artist's career.
A data-driven decision engine for live music revenue. Fansurge aggregates and cross-references data from multiple sources across multiple markets, using machine learning to identify patterns that humans can't see.
Which cities should an artist play? How big should the venues be? What support acts will add incremental ticket sales and create the strongest bill for core and casual fans?
Which brands should be approached for sponsorship? What's the demographic overlap between an artist's audience and a brand's target market? Quantify the pitch.
What content marketing should the promoter run — and on which platforms — to drive advance ticket sales? Target the right message to the right fans on the right channel.
What merchandise offer should be available at each event? Localise the merch strategy based on audience demographics and regional behaviour patterns.
How does an artist get from Shepherds Bush Empire to British Summer Time? Map the five-year plan with data-backed milestones across venue sizes, markets, and festival slots.
Expand the same intelligence framework into international markets. Identify where an artist's audience is growing globally before the competition sees it.