Built for how you actually work
Our industry pages explain the space. These pages are about you, the job you're hired to do, the data that gets you there, and proof it works. Pick the one that fits.
Privacy-first footfall, approved by a data protection authority.
Who it's for
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Cities & municipalities
Footfall analytics for cities and municipalities: plan safer, more attractive public spaces on anonymous, DPA-approved movement data.
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DOOH advertisers & media owners
DOOH audience measurement you can defend: reach, impressions and exposure-minutes for every screen, ready for rate cards and campaign ROI.
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Flagship stores
Flagship store footfall analytics: passers-by, window capture rate, in-store flow and dwell, measured anonymously via your existing Wi-Fi.
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Gas-station chains
Forecourt footfall analytics for fuel retail: measure pump-to-store capture, benchmark every site and lift margin where it is made, in the store.
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Libraries
Library people counting without cameras: real visit numbers, opening-hours demand, space utilisation and the evidence funders ask for.
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Pop-up stores
Pop-up store footfall analytics: see day by day whether the location and concept capture passers-by, and decide on extending with evidence.
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Property companies
Property footfall analytics: set rents on measured attraction, benchmark buildings across the portfolio and prove refurbishment impact.
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Retail chains
Retail chain footfall analytics: one conversion funnel across every store, like-for-like benchmarking and staffing that follows real demand.
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Retail destinations
Retail park footfall analytics: measure your real catchment, cross-shopping and tenant flows, and put evidence behind rents, leasing and the tenant mix.
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Mall operators & property owners
Shopping centre footfall analytics: move to footfall-based rents, optimise tenant mix and price screens and events on measured exposure.
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Transport operators & hubs
Transport hub footfall analytics: manage passenger flow, cut congestion and grow retail, F&B and advertising revenue, proven at a major Stockholm interchange.
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Museums
Museum visitor analytics, anonymous by design: real attendance per exhibition, dwell time, queues and flow, plus proof of value for funders.
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Each page is built around a specific job to be done: the questions you’re hired to answer, the data that answers them, and proof from organisations like yours. All of it privacy-first, the only footfall method in Europe approved by a data protection authority.
Prefer to explore by venue type instead? See the industries pages, or jump straight to what data you can get.
Compliant where it counts
Validated by academia, partners and customers, and the same wherever you land here: insight with no personal data.