Footfall data for leisure & hospitality
Be where your customers are — when they're there
Cafés, restaurants, bars, gyms and hotels trade on timing. WhereThen shows visit patterns hour by hour, so you can choose venues, set opening hours and build rotas around how a location really behaves.
Free demo access to five example coffee shop locations — no card required.
Why hospitality operators use footfall data
Two streets with identical daily footfall can be opposite propositions for a venue: one peaks at 8am, the other at 8pm. In hospitality the daypart curve matters as much as the total — and demographics decide whether the offer fits the crowd.
Venue selection by daypart
A breakfast-led café and a cocktail bar need opposite footfall curves. See morning, lunchtime and evening flows separately for every candidate site before you choose.
Opening hours and rotas
Staff costs are hospitality's biggest lever. Match trading hours and shift patterns to the real hourly demand curve — more cover at peak, less burn in the dead hours.
Demographic fit
Students, young professionals, families and affluent retirees fill very different venues. Census-based visitor profiles show whether the local crowd matches your concept before you fit it out.
Seasonal and event planning
Monthly and day-of-week patterns reveal seasonality, event uplift and the shape of the tourist trade — so stock, staffing and promotions land at the right moments.
Competitor benchmarking
Compare the traffic outside your venue with rival pitches nearby. Know whether a quiet Tuesday is your problem or the street's.
Multi-site comparison
Rank your estate by the footfall each venue receives and how well it converts. Decide where to invest, refurbish or exit with evidence rather than instinct.
What you get with WhereThen
Everything below is available self-serve in the platform — and as raw data or a bespoke report when you need it.
How busy each location is
Precise daily counts of pedestrians and non-pedestrians for any UK location in coverage — a true picture of the traffic a site actually receives.
When people visit
Hourly, daily and monthly visit patterns reveal peaks, dead spots and seasonality, so timing decisions rest on the real demand curve.
Who the visitors are
Census-based demographic profiles built from visitors' home locations — age, household composition, education and economic activity — for the people who actually visit, not just those who live nearby.
Compare and rank sites
Score any set of locations side by side — existing sites, prospects and competitor pitches — and see instantly which comes out on top.
Points of interest and catchment
See the competing and complementary businesses around each site, and how far visitors travel to reach it.
Take the data with you
Every chart is downloadable, and the underlying raw data is available when your own analysts or models need it.
Example scenario
A gym operator picks between two units
A boutique gym operator is choosing between two units: one on a busy retail street, one at the edge of a large residential neighbourhood. The retail street has nearly double the total footfall.
The hourly curves tell a different story. The retail street's traffic collapses after 7pm and is thin before 9am — exactly the hours a gym trades hardest. The residential-edge unit shows strong early-morning and evening flows, and its visitor profile is dense with the young professionals the brand targets.
The operator takes the residential-edge unit and sets class schedules directly from the morning and evening peaks.
Total footfall would have picked the wrong site. The daypart curve picked the right one.
Work with us your way
WhereThen is more than a dashboard. Behind it is WhereData, a location-data company that can support you at whatever depth you need — from instant self-serve analytics to fully bespoke consultancy.
Self-serve platform
Instant footfall analytics in your browser. Search a location and see visitor volumes, visit timing and demographics in minutes — no data team required, and priced so smaller businesses can afford it.
Get 3 free searchesRaw footfall data
License the datasets behind the platform: hourly footfall and footfall-origin data for UK towns and cities, delivered ready for your own models, GIS tools and data warehouse.
Talk to us about dataBespoke analysis & insights
Our analysts answer your specific question — site shortlists, catchment reports, portfolio benchmarks, before-and-after impact studies — delivered as clear reports you can put in front of a board or committee.
Discuss a briefConsultancy
Work with the WhereData team on the harder problems: methodology, data integration, ongoing monitoring programmes and evidence for high-stakes location decisions.
Talk to an expertCheck the curve before you commit
Try the free demo — five real coffee-shop locations with hourly footfall and demographics — or send us the venues you're weighing up.
Three free searches, anywhere in the UK. See real footfall for the locations you actually care about — no card required.