retail location analytics

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United Kingdom

Retail location analytics for your whole UK store portfolio

Footfall, catchment and visitor behaviour for every store, side by side and set against regional and national benchmarks.

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

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Retail location analytics shows how every store in your portfolio performs from the street outwards: how many people visit, where they come from, how long they stay, and how each site compares with its high street, shopping centre or retail park. Huq measures any UK address weekly, with no counters or cameras, so you can compare stores with each other and with competitors, then decide where to invest, fix or exit.

How retail location analytics works in Huq

Huq platform overview video: a visitor heat map

Treat the overview as a guide to how a portfolio review is set up. Note the Explore map, where stores and nearby competitors are added; Projects, which hold dozens or hundreds of locations with status tracking; and the monthly location reports that set each store against regional and national benchmarks. The video covers the platform generally, not your estate.

  • Load every store into a Project and track footfall trends across the estate week by week.
  • Compare each location with the competitors and retail centres around it on the Explore map.
  • Export store-level results to CSV or Excel for your own estate reviews.

Trusted by 300+ organisations · Data across 35 markets

What is retail location analytics?

Retail location analytics is the use of location data to understand how a chain's stores perform as places. Instead of looking only at sales, it looks at footfall, catchment, visit frequency, dwell time and the strength of the location around each store, so you can compare sites fairly across the whole portfolio.

In the UK it is mostly used by retail chains reviewing their estate: which stores sit in growing or declining high streets, which shopping centres and retail parks are pulling more visitors, and where a store underperforms its location. Location based analytics in retail also feeds lease renewals, refits and closure decisions.

Huq gives you the same measures for every UK address, including competitors' stores and sites you haven't opened yet. Data refreshes weekly. Measured against landlord-reported footfall, Huq's MAPE in Great Britain is 18.7%.

What's in your retail location analytics

01

Footfall across the estate

Weekly visits, trend and period-on-period change for every store, so weak and strong locations stand out.

02

Catchment by postcode

Where each store's visitors come from, with drive-time and travel-time areas around the site.

03

Visitor behaviour

Visit frequency, dwell time and dayparts for each location, plus visiting vs passing traffic.

04

Benchmarks and competitors

Each store set against its retail centre, nearby competitors and regional and national footfall trends.

What retail location analytics shows

Three views from a typical portfolio review, built from your store list.

Your estate in one Project

01

Your estate in one Project

All stores in one folder with weekly footfall, trend and status, so area managers and the board look at the same numbers.

Store vs its location

02

Store vs its location

See whether a store is losing visitors faster or slower than its high street, shopping centre or retail park.

Catchment and overlap

03

Catchment and overlap

Map each store's postcode catchment and spot where neighbouring stores draw on the same visitors.

Retail location analytics 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 UK retailers use Huq for retail location 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 location analytics in retail?

Location analytics in retail uses data about places and the people visiting them to explain store performance. Typical measures are footfall, catchment, visit frequency, dwell time and how a store compares with its retail centre and competitors. Retail chains use it to review their estate, plan openings and closures, and support lease negotiations.

How can data analytics be used in retail store portfolios?

Across a portfolio, data analytics helps you rank stores fairly. Footfall and catchment show whether a store's location is strong, while your own sales show how well the store converts it. Putting the two together tells you whether to invest in a site, fix operations, renegotiate the lease or exit.

Which retailers in the UK use Huq?

Huq is trusted by 300+ organisations, including retailers, asset owners, councils and investors. JD Sports, a UK retailer, got 25% more precise catchment analysis and 18% lower new-store location risk. PizzaExpress set Huq's monthly footfall against its own sales across 370+ UK stores to tell location problems from operational ones.

How often is the data updated?

Huq data refreshes weekly. You can view footfall by week, month and year, with period-on-period change and average daily footfall. Monthly PDF location reports summarise each store's KPIs and trends against regional and national benchmarks.

Does Huq cover every UK store location?

Yes. Huq covers any address in the UK, including high streets, shopping centres, retail parks, competitors' stores and sites you haven't opened yet. No counters, sensors or cameras are needed, and Huq manually validates more than 1,000 locations in each of its 35 markets twice a year.

What do I get in the free analysis?

Send us a sample of your store list and we'll return a free analysis of your portfolio: footfall trends, catchment and benchmarks for those locations, so you can judge the data on stores you already know well before committing to anything.

Questions? Talk to us

Book a demo

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.

More about Huq
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