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Retail footfall data
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United Kingdom
Retail footfall data for analysts, as exports and feeds
Weekly UK retail footfall data as CSV and Excel exports, or Parquet and CSV feeds into your S3 or Google Cloud Storage bucket.
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Retail footfall data from Huq gives analysts and data teams weekly footfall for any UK store, retail area or competitor site, in a format that drops into your own models. Export CSV or Excel from the platform, or take data feeds as Parquet and CSV files into Amazon S3 or Google Cloud Storage. Huq delivers feeds rather than an API, and every figure sits on a published accuracy benchmark.
Where retail footfall data comes from in Huq
The overview walks through Huq for all users. A data team should note how areas are saved and grouped into Projects, since that is how you define the locations you want delivered, and the range of measures on each location. In a feed, those measures arrive as Parquet or CSV files in your Amazon S3 or Google Cloud Storage bucket each week.
- Saving areas and Projects that define your feed
- The metrics available for export
- Combined or per-area CSV and Excel exports
Trusted by 300+ organisations · Data across 35 markets
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What is retail footfall data?
Retail footfall data is a time series of visits to stores, retail areas or shopping destinations. Analysts use it as an input: to model sales, forecast new sites, explain store performance, or follow a retail brand's whole estate as an alternative data signal.
For that work the format matters as much as the figures. You need the same definitions for every location, a steady refresh and delivery that fits your stack. Huq data refreshes weekly, uses one method for every address, and comes as CSV or Excel exports or as Parquet and CSV feeds into Amazon S3 or Google Cloud Storage buckets. Huq has no API.
Accuracy is published, not assumed: an 18.7% MAPE in Great Britain against landlord-reported footfall, with per-country sample sizes in Huq's downloadable validation report, so you can judge the error before it enters a model.
What's in your retail footfall data
01
Weekly footfall time series
Footfall by week, month and year for every location, with totals and average daily footfall.
02
Behaviour metrics
Dwell time, visit frequency, dayparts, residents vs visitors and visiting vs passing traffic per location.
03
Feeds into your bucket
Parquet and CSV files delivered into your Amazon S3 or Google Cloud Storage bucket.
04
Demographics and geo-spend
Add demographics, plus geo-spend by volume and category via Experian, for UK locations.
How retail footfall data reaches your team
Three steps from defining locations to loading data into your own tools.
01
Define locations once
Draw areas or load brand locations on the Explore map, then save them to a Project so every export and feed uses the same boundaries.
02
Export per area or combined
Pull CSV or Excel files per area or combined across a Project, ready for a spreadsheet, BI tool or model.
03
Validation you can cite
Check Huq's published validation report for per-country MAPE and sample sizes before you build footfall into a model.
UK retail footfall data, plus 34 more markets
Huq covers any address in the UK: high streets, shopping centres, retail parks, competitors' stores and sites you haven't opened yet. No counters, sensors or cameras needed.
Huq manually validates more than 1,000 locations in each of its 35 markets twice a year, and data refreshes weekly.
How it works
Step 1
Tell us your locations
Add up to five addresses in the form. Your own stores, candidate sites or competitors.
Step 2
We run the analysis
Our team maps each location from observed visitor data.
Step 3
We walk you through it
A short call to take you through what the data shows and what it means for you.
Why analysts choose Huq for retail footfall data
- Huq publishes its accuracy by country: an 18.7% median error in Great Britain against landlord-reported footfall.
- JD Sports, a UK retailer, got 25% more precise catchment analysis and 18% lower new-store location risk.
- Ripon BID saw footfall up 164% year on year.
- Trusted by 300+ organisations across 35 markets, including the global insights, research and location intelligence teams at Nike, Adidas, JD Sports and Samsung.
huq's platform gave us valuable data to support a key decision on potential new sites.
Dan Brogden
National Sales Manager, Puccinos
Who it's for
01
Retail chains of any size
From five-store retailers planning their next site to global brands: choose locations, track store performance and benchmark against competitors.
02
Retail property owners
Show centre performance, support leasing and get the tenant mix right, for landlords, asset managers and brokers.
03
Investors and private equity
Check how retail brands and assets actually perform before you buy, and monitor them after.
Everything Huq measures, in one platform
- Footfall: by week, month and year, with totals, average daily footfall, trends, period-on-period change, and visiting vs passing traffic.
- Residents and visitors.
- Catchment and travel time: catchment by postcodes, plus drive-time and travel-time analysis.
- Demographics and profiling: age, gender and purchasing power.
- Behaviour: visit frequency, dwell time, time of day and dayparts, cross-visitation between up to 10 location pairs, and international visitation for tourism.
- Footfall density and transportation mode.
- Places, brands and industries: points of interest, brand locations and brand analysis, industry performance, shopping centre and retail centre types.
- Geo-spend: spend by volume and category at any UK location, via Experian.
- Tools: the Explore map (draw any area or use layers for travel time, catchment, shopping centres, retail centres, brand locations, industries and postcodes), White Space Analysis, and Projects for monitoring many locations and reporting to stakeholders.
- Delivery: the platform, CSV or Excel exports, monthly PDF location reports, and data feeds as Parquet and CSV files into Amazon S3 or Google Cloud Storage buckets.
- Cadence: data refreshes weekly.
Frequently asked questions
Where can I get UK retail footfall data?
Public sources such as the ONS and industry monitors publish national or regional retail footfall. For store or site-level data, Huq provides weekly footfall for any UK address, exportable as CSV or Excel or delivered as data feeds into Amazon S3 or Google Cloud Storage.
Can I get footfall for every store of a retail brand?
Yes. Brand locations are a layer on Huq's Explore map, so you can load a retailer's UK store network and take weekly footfall for each store, or combined. Investors and analysts use this to follow a brand's estate over time, next to brand analysis and industry performance.
Can I get footfall data by time of day?
Yes. Huq reports footfall by time of day and dayparts, alongside weekly, monthly and yearly totals and average daily footfall. That lets you compare morning, daytime and evening patterns across locations and feed them into your own models.
How accurate is retail footfall data from Huq?
Huq publishes accuracy by country as median error against landlord-reported footfall: 18.7% in Great Britain, and a 19.5% median across published markets against a 30% healthy threshold. The downloadable validation report gives per-country sample sizes.
Which locations and markets does the data cover?
Any address in the UK, including stores, high streets, shopping centres, retail parks and competitors' sites. Huq uses the same method across 35 markets, so a feed can combine UK and international locations with consistent definitions.
What is in the free analysis?
Send a sample of the locations you care about through the form on this page. Huq's team runs a free analysis of footfall for those locations and walks your team through the available fields and delivery options.
Questions? Talk to us
Book a demoAbout Huq
Huq is a location intelligence company. We turn anonymised mobile location data into footfall, catchment and visitor insight for any place, so retailers, property owners and local authorities can make decisions on evidence.
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Up to 5 locations. No cost, no commitment.