Place analytics

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United Kingdom

Place analytics for UK town centres, brands and sites

Places, brands, industries and centre types alongside weekly footfall for any UK address, in one platform with exports and data feeds.

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

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Huq's place analytics combines what is in a place with how busy it is, for anywhere in the UK. Map points of interest, brand locations, industries, shopping centre types and retail centre types, then add weekly footfall, residents versus visitors and catchment. Use it to compare town centres, benchmark brands or size up a retail park. Work in the Explore map, export to Excel, or take Parquet and CSV feeds.

Place analytics in the Huq platform

Huq platform overview video: a visitor heat map

Place analytics pairs what is in a place with how busy it is. In the overview, look for the Explore map layers for brand locations, industries, shopping centres and retail centres, then see how footfall sits on the same map. That pairing is what lets you compare one UK town centre with another.

  • Layers for brand locations, industries and centre types.
  • Footfall and visiting versus passing traffic for the same areas.
  • Saving areas into Projects to compare places over time.

Trusted by 300+ organisations · Data across 35 markets

What is place analytics?

Place analytics is the study of places themselves: what is there, who uses it and how it performs. A town centre, a retail park or a shopping centre is a mix of brands, industries and footfall. Place analytics puts those together so you can compare one place with another.

In the UK the buyers are councils and BIDs managing high streets, landlords and asset managers reviewing centres, retail chains judging which places suit their brand, and investors checking assets. Most already hold a store database or a vacancy count. Few can see how busy each place is, week by week.

Huq adds that. Its footfall carries an 18.7% MAPE in Great Britain against landlord-reported footfall. In Huq's Ripon BID case, footfall was up 164% year on year.

What's in Huq's place analytics

01

Places and points of interest

Points of interest, shopping centre types and retail centre types across every UK town and city.

02

Brands and industries

Brand locations, brand analysis and industry performance, so you can see which categories drive a place.

03

Footfall for each place

Weekly footfall, trends and visiting versus passing traffic for any high street, centre or park.

04

Who uses the place

Residents versus visitors, dwell time, dayparts and catchment by postcode.

What place analytics shows

Three views for comparing UK places.

The brand mix of a centre

01

The brand mix of a centre

Brand locations and industries in a town centre or retail park, so you can see the mix next to its footfall.

Town centre versus town centre

02

Town centre versus town centre

Weekly footfall for several high streets side by side, with period-on-period change. Spot which places are gaining and which are slipping.

When and how people visit

03

When and how people visit

Dwell time, dayparts and residents versus visitors for a place. Useful for evening economy plans and events.

Place analytics for every UK town and city

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 teams use Huq for place 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 place analytics?

Place analytics studies places themselves: what is there, who uses them and how they perform. Huq combines points of interest, brand locations, industries and centre types with weekly footfall, residents and visitors, and catchment for any UK address.

How do councils and BIDs use place analytics?

To track footfall on high streets and town centres, and to check whether regeneration and investment are working: footfall, visitors and dwell before and after, compared with similar towns. Ripon BID saw footfall up 164% year on year. Projects lets teams monitor many places and share results with stakeholders.

Can I compare brands and industries across places?

Yes. Huq includes brand locations, brand analysis and industry performance, alongside shopping centre and retail centre types. You can see which brands and categories sit in a place and how busy it is.

Is there a place data API, or files instead?

Huq has no API. Teams use the platform, CSV or Excel exports and monthly PDF reports. Technical teams take data feeds as Parquet and CSV files into Amazon S3 or Google Cloud Storage.

How often is the data updated?

Footfall and behaviour data refresh weekly, so comparisons between high streets, town centres and retail parks stay current. Places, brands and industries sit alongside the latest week, and feeds arrive in your bucket on the same cadence.

What does Huq cover, and can I get a free analysis?

Any address in the UK, from high streets and town centres to shopping centres and retail parks, across 35 markets in total. Send us a few places and we will run a free analysis.

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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