Tour routing used to be a promoter’s gut feel plus last year’s ticket sales. It is now a data exercise, and the data is better at some questions than others. The gap between what a heatmap can tell you and what a booking actually requires is where tour budgets go wrong.
Venue footfall is outrunning retail
Colliers put the first half of 2025 against the first half of 2024 and measured where people turned up in person. The biggest gains were not in shops. Car wash services led the field with a 10.3 percent increase, then theaters and music venues at 9.2 percent, with attractions close behind, as Commercial Observer reported from the Colliers and Placer.ai study. People still leave the house. What they are paying for is a room full of other people.
That shift is why location analysts get pulled into live events. A promoter with ten markets to choose from and a finite budget cannot test them all, and the old proxy, last year’s ticket sales, is useless in a city the tour has never played.
What a heatmap is built from
Foot traffic estimates come from mobile location data, the signals phones hand over as they move through the world. This guide to the method sets out the shape of it: visits, dwell time, where visitors travelled from, how far a site’s trade area reaches compared with a rival’s. Network-level data goes wider still. Operators supply anonymised, aggregated 4G and 5G traffic, which is how a study covers a whole district rather than one doorway, and how catchment and origin get measured at scale.
Useful, though rough. A downtown cell can look enormous at 8am because of commuter flow and be empty of the people who buy tickets on a Thursday night. Dwell time helps separate the two. Origin helps more. Neither tells you who in that crowd will pay for a ticket.
A hot postcode is not a booking
Radius clauses are the part of routing that data people leave out. Promoters protect ticket sales by barring an act from playing within a set distance of a show for a set period before and after it, and the textbook version is 60 miles and 60 days either side. Every confirmed stop therefore blanks a ring of towns around it. A city with strong footfall sitting inside another show’s radius is dead for that run, whatever the heatmap says.
Then there is the name. A market that fills 4,000 seats proves the market can fill a room. It says nothing about which act does it, and the answer lives in a different dataset: streaming, social following, and the dullest one, who has actually sold that room in that city before. Location intelligence shortens the list. It does not pick the headliner.
Where the map hands over
Geography produces five or six candidate cities and a catchment profile for each. Talent is the next step and it is a negotiation with physical constraints: the artist’s other dates, a fee set against the room’s capacity, a rider that needs power, crew and load-in space the venue may not have. An independent talent booking agency works from fit, availability and budget rather than a roster it has to fill, which matters when the shortlist came from a heatmap instead of a sales target.
The handover point is worth naming precisely. Spatial data answers where the audience is. Booking answers who can be in that room on that date for a number both sides accept.
Three checks before the deposit
– Is the room sized to the catchment, or to the city’s reputation?
– Does the artist’s existing routing already kill this market through exclusivity?
– Are the people in the footfall local to the venue, or passing through on the way to work?
A heatmap narrows the map to a shortlist in an afternoon. Everything after that is people, contracts and rooms.