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Cross shopping analysis
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United Kingdom
Cross shopping data for UK retailers and landlords
Measure how many customers your store shares with competitors, neighbours and shopping centres, anywhere in the UK, with no sensors on site.
Get a free analysis of your locations
Up to 5 locations. No cost, no commitment.
We handle your details in line with UK GDPR.
Cross shopping tells you which other stores, brands and shopping centres your customers also visit. Huq measures it as cross-visitation between up to 10 location pairs, on any UK address, from a high street unit to a retail park. Retailers use it to choose co-tenants and partner brands. Landlords use it to show prospective tenants who already shops there. Results refresh weekly and sit alongside footfall, catchment and geo-spend data.
See cross shopping in the Huq platform
Use the platform overview to see how a cross shopping question is set up in Huq. Watch how a high street unit, shopping centre or retail park is selected on the Explore map, and how the brand locations and retail centres layers reveal who trades nearby. The video covers the platform generally; shared-visitor results come from the locations you pick this way.
- Set up to 10 location pairs and compare the share of visitors each pair has in common.
- Turn on the brand locations and retail centres layers to see who trades nearby.
- Keep your stores and competitors in a Project for regular reporting.
Trusted by 300+ organisations · Data across 35 markets
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What is cross shopping in UK retail?
Cross shopping is customers splitting their visits across stores, brands or places. On a UK high street, a coffee chain and a bakery may share many of their morning customers. In a shopping centre, a fashion anchor may share visitors with the sports and beauty units around it.
Knowing the overlap helps three teams. Retail property teams pick sites next to brands their customers already use. Landlords and asset managers use it in leasing conversations and tenant mix planning. Marketing teams find partner brands and local promotions that reach the right people.
Huq measures cross shopping as cross-visitation: the share of visitors two locations have in common, across up to 10 location pairs. You can add catchment by postcode, demographics and geo-spend data via Experian to understand the places involved.
What's in your cross shopping report
01
Shared visitors by location pair
See the share of visitors two UK locations have in common, for up to 10 location pairs.
02
Competitor and neighbour stores
Include any address, from a rival's flagship to the unit next door, with no sensors or counters.
03
Catchment and demographics
Compare catchments by postcode and demographic profiles of the locations you are comparing.
04
Geo-spend at each location
Add spend by volume and category at each UK location, via Experian, to size the opportunity.
What a cross shopping analysis shows
Three views take you from a list of stores to a clear picture of shared customers.
01
Choose stores, centres and rivals
Pick your stores, competitors and shopping centres on the Explore map, using the brand locations and retail centres layers to find them.
02
Overlap by location pair
Compare the share of visitors each pair has in common and see which neighbours, brands or centres share most of your audience.
03
Context for the decision
Add catchment by postcode, demographics and geo-spend, then export to CSV or Excel or share a monthly PDF report.
Cross shopping data for UK high streets, centres and retail parks
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 teams use Huq for cross shopping
- 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 cross-shopping?
Cross-shopping is when customers visit more than one store, brand or place, such as two fashion retailers in the same shopping centre. Huq measures it as cross-visitation: the share of visitors that two locations have in common, across up to 10 location pairs.
How do landlords use cross shopping data?
Landlords and asset managers use it to plan tenant mix, place complementary brands near each other and show prospective tenants that the centre already draws their kind of customer. Combined with footfall trends and catchment by postcode, it gives leasing teams evidence rather than anecdote.
Can I see cross shopping between my store and a competitor?
Yes. Huq works on any UK address, including competitors' stores and sites you haven't opened. You don't need data from the other retailer, and no counters, sensors or cameras are needed. The result shows the share of visitors both locations have in common.
What do I get in a free cross shopping analysis?
Give us your store and a few locations you want to compare it with. We'll show you the shared visitors between them, their catchments and recent footfall trends, so you can see whether Huq's data answers your question. It's free and there's no obligation.
How often is the data updated?
Weekly. Huq data refreshes every week, so you can compare overlap over recent periods and track changes after a new tenant opens or a competitor closes. Results are available in the platform, as CSV or Excel exports, in monthly PDF reports and as data feeds.
Does Huq cover the whole UK?
Huq covers any address in the UK: high streets, town centres, shopping centres and retail parks. Accuracy is published by country, with an 18.7% median error in Great Britain against landlord-reported footfall. Huq manually validates more than 1,000 locations in each of its 35 markets twice a year.
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.