Mall analytics

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United Kingdom

Mall analytics for UK shopping centre owners

Visits, catchment, dwell, cross-visitation and tenant evidence for any UK shopping centre, refreshed weekly. No sensors to install.

The Huq platform: catchment zones around a location on a map, with store trend and performance cards

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Mall analytics gives UK shopping centre owners, asset managers and investors one view of how a centre performs: visits, catchment, dwell time, and how visitors move between the centre, its tenants and rival destinations. Huq covers any UK centre, including ones you are thinking of buying. Use it to shape tenant mix, support leasing and test an acquisition before you commit.

Mall analytics in the Huq platform

Huq platform overview video: a visitor heat map

The overview shows the platform in general. For a shopping centre portfolio, note the map layers for brand locations and industries, which is where tenant mix work starts, and Projects, which would hold every centre you own or are bidding for. Picture your own centres and a shortlist of prospective tenants as you watch.

  • Brand and industry layers for tenant mix
  • Projects for a portfolio of centres
  • Catchment and drive time around each centre

Trusted by 300+ organisations · Data across 35 markets

What is mall analytics?

Mall analytics is the use of visit and location data to run and value shopping centres. In the UK the term mostly means shopping centre analytics: the evidence asset managers use to set tenant mix, price leases, plan marketing and report to investors.

The questions are practical. Which brands would draw new visitors from the catchment? Which tenants share an audience? Is the centre losing visitors to a retail park or a rival centre nearby? Is a centre that's up for sale performing as the seller says?

Huq answers these with centre-level data: footfall, catchment by postcode, dwell time, dayparts, demographics and cross-visitation, plus brand analysis showing how prospective tenants perform elsewhere. It does not use in-centre corridor sensors or count people by entrance, so it works for any centre, including those you don't own.

What's in your mall analytics

01

Tenant mix evidence

Brand analysis shows how prospective tenants perform in other locations before you sign a lease.

02

Catchment gaps

Postcode catchment and drive time show who the centre reaches and which nearby areas it misses.

03

Cross-visitation

See shared visitors between the centre, rival centres and tenants' other stores, across up to 10 location pairs.

04

Acquisition due diligence

Check a centre's visit trends and catchment against its competitors before you buy.

What mall analytics shows for a shopping centre

Three views asset managers use to make decisions about a centre.

Tenant performance elsewhere

01

Tenant performance elsewhere

Brand location and industry layers show how a prospective tenant's other stores perform, giving leasing teams evidence beyond the tenant's own pitch.

Who the centre reaches

02

Who the centre reaches

Catchment, demographics and travel time show where visitors come from and where marketing or new tenants could pull in more.

Portfolio view

03

Portfolio view

Projects hold every centre you own or manage, with weekly trends and status tracking for investor reporting.

Mall analytics for any UK shopping centre

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 asset managers use Huq for mall 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 is shopping mall analytics?

Shopping mall analytics, usually called shopping centre analytics in the UK, uses visit and location data to manage and value centres. It covers footfall, catchment, dwell time, visitor profiles and how visitors move between the centre and other places. Asset managers use it for leasing, tenant mix and investor reporting.

How can analytics improve tenant mix in a shopping centre?

Start with the catchment: who lives nearby and who already visits. Then look at brand analysis to see how a prospective tenant performs in other locations, and cross-visitation to see which brands share your visitors. Together these show which tenants would add new visits rather than split existing ones.

Can I analyse a shopping centre I don't own?

Yes. Huq works on any UK address and needs no access to the site, so you can analyse competing centres or a centre you're thinking of buying. Investors use this to check visit trends and catchment against the seller's figures before committing.

How is mall analytics different from shopping centre footfall counts?

Footfall counts tell you how many people came. Mall analytics asks what that means for the asset: which tenants would add visits, whose visitors you share and which postcodes you miss. Huq covers both at centre level. It is not an in-centre sensor system and does not count by corridor or entrance.

How often is the data updated, and what does it cover?

Data refreshes weekly. Huq covers any address in the UK, including shopping centres, retail parks and high streets, and uses the same method across 35 markets. UK locations can also include demographics, and geo-spend data via Experian.

What does the free analysis of my sites include?

Use the form on this page to list the centres you own, manage or are looking at. Huq's team runs a free analysis of visits, catchment and dwell for those centres, with competitors if you want them, and walks you through what stands out.

Questions? Talk to us

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About 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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