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Dwell time analysis
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United Kingdom
Dwell time analysis for UK stores and centres
See how long people stay, how often they come back and when they visit, for any UK store, shopping centre or high street, with nothing installed.
Get a free analysis of your locations
Up to 5 locations. No cost, no commitment.
We handle your details in line with UK GDPR.
Dwell time analysis shows how long visitors stay at a location, alongside how often they return and what time of day they come. Huq measures dwell time, visit frequency and dayparts for any UK address, so you can compare your stores with each other, with competitors and with the shopping centre or high street around them. No cameras, Wi-Fi or counters are needed, and data refreshes weekly.
Dwell time analysis in the Huq platform
The overview covers the whole Huq platform. If dwell time is your question, focus on two parts: how any store, centre or high street is selected or drawn on the Explore map, and the monthly PDF location report, which carries dwell, dayparts and weekday patterns for colleagues who don't log in.
- Draw any store, centre or high street on the Explore map and see its dwell time.
- Compare dwell time with visit frequency and dayparts for the same location.
- Share monthly PDF reports with dwell, dayparts and weekday patterns.
Trusted by 300+ organisations · Data across 35 markets
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What is dwell time analysis?
Dwell time is how long a visitor stays at a location. In retail it is a useful signal of engagement: longer visits usually mean browsing, eating or using several units, while short visits suggest a quick, planned trip. Dwell time analysis compares those visit lengths across stores, periods and times of day.
UK teams use it in different ways. Shopping centre landlords check whether a new food and leisure line-up keeps people on site longer. Town centre managers and BIDs read dwell alongside footfall to judge events. Restaurant and coffee chains check whether visit length fits their format.
Most dwell measurement needs hardware such as cameras, Wi-Fi or door counters, and only works at sites you control. Huq measures dwell time, visit frequency and dayparts at any UK address, including competitors' stores, so you can benchmark rather than look at one site in isolation.
What's in your dwell time analysis
01
Dwell time by location
See how long visitors stay at each store, centre or high street, and how that changes week to week.
02
Visit frequency
Find out how often visitors return, to separate a loyal local base from one-off trips.
03
Dayparts and time of day
See when people visit and how visit length varies through the day and across the week.
04
Competitor benchmarks
Compare dwell at your sites with competitors' stores and nearby centres, with no hardware at any of them.
What a dwell time analysis shows
Three views show how long people stay, when they come and how often they return.
01
Visit length at a glance
Select a store or draw an area and see dwell time next to footfall, so a busy site with short visits stands out.
02
Dayparts and weekdays
See which times of day and days of the week bring longer visits, to plan staffing, opening hours and events.
03
Frequency and comparison
Compare visit frequency and dwell across your stores and competitors, then export to CSV or Excel or share the monthly PDF report.
Dwell time data for any UK location
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 dwell time analysis
- 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 dwell time?
Dwell time is how long a visitor stays at a location, such as a store, a shopping centre or a high street. In retail it's read alongside footfall: two sites with similar visit numbers can behave very differently if one keeps people for twice as long.
How do you measure dwell time in a store or restaurant?
Traditionally with cameras, Wi-Fi analytics or door counters, which only work at sites you control. Huq measures dwell time at any UK address with no hardware, so you can measure your own stores and restaurants and compare them with competitors and nearby centres.
Why does dwell time matter for shopping centres?
Longer dwell usually means people are using more of the centre: shopping several units, eating or staying for leisure. Landlords use dwell time and visit frequency to judge tenant mix changes, events and refurbishments, and to give leasing teams evidence of how the centre is used.
What do I get in a free dwell time analysis?
Pick a store, centre or high street, and a comparison site if you like. We'll show you dwell time, visit frequency and dayparts for those locations, so you can see whether the data fits your question. It's free, with no obligation and nothing to install.
How often is dwell time data updated?
Huq data refreshes weekly, so you can follow dwell time and visit frequency week by week, compare periods and check the effect of an event or refit. Monthly PDF location reports summarise dwell, dayparts and weekday patterns for stakeholders.
Which UK locations can I analyse?
Any address in the UK: high streets, town centres, shopping centres, retail parks, competitors' stores and sites you haven't opened. Huq's published median error in Great Britain is 18.7% against landlord-reported footfall, and it checks more than 1,000 locations per market by hand 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.