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retail location data feed
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United Kingdom
Retail location data for UK analysts, delivered as feeds
Weekly footfall, catchment and visitor behaviour for any UK address, delivered as Parquet or CSV files into your S3 or Google Cloud Storage bucket.
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Retail location data from Huq gives your analysts store-level footfall, catchment and visitor behaviour for any UK address, in files they can load straight into their own models. Data arrives weekly as Parquet and CSV files in your Amazon S3 or Google Cloud Storage bucket, so you can join it to sales, property and customer data in your warehouse. Commercial teams can use the same numbers in the platform.
Retail location data in the Huq platform
Your analysts will mostly work with files, but the platform overview is still worth a look. It shows the kinds of measures Huq covers, such as footfall, dwell, dayparts and catchment, and how areas are drawn or selected on the Explore map. Use it to agree with Huq which locations and measures your feed should include.
- Check the measures you need in the platform before you specify a feed.
- Define store, competitor and retail centre areas once and receive them in every weekly drop.
- Use CSV or Excel exports for one-off pulls while the feed is set up.
Trusted by 300+ organisations · Data across 35 markets
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What is retail location data?
Retail location data describes what happens at and around physical stores: how many people visit, when they come, how long they stay, where they travel from, and what else sits nearby. It sits alongside points-of-interest data, which tells you where stores are, and adds how busy they are.
In the UK, retail analysts and data science teams use it to build site models, explain sales variance between stores, forecast new openings and track competitors on the high street, in shopping centres and on retail parks. They usually want it in their own environment, not another dashboard.
Huq delivers data feeds rather than an API: Parquet and CSV files dropped into your Amazon S3 or Google Cloud Storage bucket, refreshed weekly. The same data is in the platform, as CSV or Excel exports and in monthly PDF location reports.
What's in your retail location data feed
01
Footfall by area and week
Visits, average daily footfall and visiting vs passing traffic for each store, competitor or retail centre you define.
02
Catchment by postcode
Where visitors to each location come from, ready to join to your own customer and census data.
03
Behaviour measures
Visit frequency, dwell time and dayparts for the locations you agree, alongside footfall.
04
Feeds into your bucket
Parquet and CSV files delivered weekly into Amazon S3 or Google Cloud Storage, ready for your warehouse.
What a retail location data feed gives you
How the data looks before and after it reaches your team.
01
Agree your areas
Choose the stores, competitors, shopping centres and retail parks you want covered, and check them on the Explore map first.
02
Weekly files in your bucket
Parquet and CSV files land in your Amazon S3 or Google Cloud Storage bucket, refreshed weekly.
03
Same numbers in the platform
Commercial teams check any location in the platform or a monthly PDF report, using the figures your models use.
Retail location data for any UK address
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 use Huq for retail location 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
What is retail location data?
Retail location data describes activity at and around physical stores: footfall, visit timing, dwell time, catchment and nearby places. Analysts use it to explain differences between stores, build site and forecasting models, and benchmark against competitors. Huq provides it for any UK address, refreshed weekly.
Does Huq deliver retail location data by feed rather than API?
Yes, by feed. Huq delivers data feeds rather than an API. Technical teams receive Parquet and CSV files in their own Amazon S3 or Google Cloud Storage bucket, refreshed weekly. For smaller pulls, you can export CSV or Excel from the platform, per area or combined.
How often is the data delivered?
Huq data refreshes weekly, and feeds follow the same cadence. Each weekly drop carries the footfall, behaviour and catchment measures agreed for your locations, so your models always run on the latest week. One-off pulls can come as CSV or Excel exports from the platform.
Which UK locations does the data cover?
Any address in the UK: individual stores, competitors' sites, high streets, shopping centres and retail parks, including sites you haven't opened yet. Huq manually validates more than 1,000 locations in each of its 35 markets twice a year.
How accurate is Huq's retail location data?
Huq publishes accuracy country by country, as median error against landlord-reported footfall. For Great Britain it is 18.7%; under 30% is considered healthy. Sample sizes per country are in Huq's downloadable validation report, which your analysts can check before they rely on the data.
Can I test the data before setting up a feed?
Yes. Send us a list of stores and we'll run a free analysis of your portfolio, so your analysts can compare Huq's figures with your own counts or sales before you specify a feed.
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.