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retail store analytics
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United Kingdom
Retail store analytics that look beyond the till
Footfall, catchment, dwell and competitor stores for every UK branch, measured weekly and built to sit beside your sales and POS data.
Get a free analysis of your locations
Up to 5 locations. No cost, no commitment.
We handle your details in line with UK GDPR.
Retail store analytics in most businesses stops at the till: sales, baskets and stock. Huq measures what happens outside your stores, for any UK branch. You see footfall, where visitors come from, how long they stay and how each store compares with rivals on the same high street, shopping centre or retail park. Set beside your POS data, it shows whether a store has a traffic problem or a conversion problem.
Retail store analytics in Huq: what to look for
The overview is a general tour of Huq. As you watch, think about your weekly trading pack: Projects hold the branch list with status tracking, and monthly location reports give each store's footfall, dwell, dayparts and catchment against regional and national benchmarks. Those are the outside measures you would add next to your sales, which Huq doesn't measure.
- Track weekly footfall for every branch in one Project.
- Check dwell and dayparts against opening hours and rotas.
- Compare each store with competitors on the same high street, shopping centre or retail park.
Trusted by 300+ organisations · Data across 35 markets
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What is retail store analytics?
Retail store analytics is often taken to mean POS and inventory reporting: what sold, where and when. That tells you about trading, but not about the people who came in, walked past or went to a competitor instead.
Huq covers store performance from outside the store. For every UK branch you see visits, visiting vs passing traffic, catchment by postcode, dwell, dayparts and cross-visitation with nearby stores, plus local geo-spend by category via Experian. It complements your sales data rather than replacing it, and it covers competitors too.
PizzaExpress combined Huq's monthly footfall with its sales across 370+ UK stores to separate location problems from operational ones. That is the decision this kind of analysis should support: fix the store, or rethink the location. Data refreshes weekly.
What's in your retail store analytics
01
Weekly footfall by branch
Weekly visits and change for every store, ready to join to your sales for conversion by branch.
02
Catchment and demographics
Where each store's visitors come from by postcode, with age, gender and purchasing power.
03
Dwell, dayparts and frequency
How long visitors stay, when they come and how often, to test hours and staffing.
04
Rival stores nearby
The same footfall and behaviour measures for competitors around each branch, plus shared visitors.
What retail store analytics from Huq shows
Three views that sit beside your weekly trading pack.
01
Footfall vs sales by branch
Export weekly store footfall to CSV or Excel and join it to sales to rank branches by conversion.
02
Store vs the competition
Each branch beside competitors on the same high street or retail park, showing share of local visits.
03
Local spend around each store
Geo-spend by volume and category in the area, via Experian, to size the local market. It describes local spending, not your store's takings.
Retail store analytics for every UK branch
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 UK retailers add Huq to their retail store analytics
- 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 are the benefits of in-store analytics?
In-store analytics, from POS and stock systems, shows what sold and when. Its limit is that it only sees customers who buy. Adding footfall and catchment shows how many people you reached, how many walked past and where they went instead, which explains a lot of sales variance between stores.
How can I improve retail store performance?
First work out whether a store has a traffic problem or a conversion problem. Compare its footfall trend with its high street or centre and nearby rivals, then set footfall against sales. Low visits call for location or marketing action; good visits with weak sales point to range, staffing or layout.
Does Huq measure sales?
No. Huq measures what happens outside your store: footfall, catchment, dwell, dayparts and competitors. In the UK it also offers geo-spend by category at a location via Experian, which describes local spending, not your tills. Your own sales data stays the source for trading.
How often is store footfall updated?
Huq data refreshes weekly, so it lines up with weekly trading reports. Monthly PDF location reports summarise each store's KPIs, weekday patterns, dwell and catchment against regional and national benchmarks.
Does Huq cover all UK store locations?
Yes. Huq covers any address in the UK, including high street branches, shopping centres, retail parks and competitors' stores. Huq manually validates more than 1,000 locations in each of its 35 markets twice a year, and publishes an 18.7% median error in Great Britain.
What's in the free analysis?
Send us a sample of your branches and we'll return a free analysis of your portfolio: footfall trends, catchment and nearby competitors for those stores, ready to compare with your own sales figures. There's no charge and no obligation.
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.
See how your locations really perform
Up to 5 locations. No cost, no commitment.