Retail dwell time benchmarks by store type
How long should a shopper stay in a clothing store, a grocery store or a pharmacy? Published dwell benchmarks are thinner than conversion benchmarks, and the numbers that do circulate disagree because they come from different measurement methods. Your own baseline beats any average you can find.
Ask what a good dwell time is and you will get confident answers that contradict each other, because the number depends on the method that measured it. The evidence is narrower and more useful: published research supports category-level patterns, no store-type dwell benchmarks are published, and the benchmark that matters is the one you build on your own floor.
What dwell time actually measures
Dwell time is how long a visitor stays, per zone or overall. It is the middle of the funnel: people pass the window, some come in, some stay, some buy. A longer visit can mean interest, and it can mean a queue; the same number reads differently in a fitting room than at a checkout. The definition we use is set out on dwell time explained.
Published dwell benchmarks by store type
Conversion benchmarks have format-level spans; dwell benchmarks do not. The situation for each store type:
- Clothing: not published. Window-browsing and fitting-room behaviour vary so much between formats that any single published number would describe no real store.
- Grocery: not published. Mission-driven visits make short dwell normal and good; a long average usually means a queue.
- DIY and hardware: not published. Trade customers and weekend browsers are two different populations sharing one building, and an average of them fits neither.
- Pharmacy: not published. The prescription queue inflates dwell for reasons that have nothing to do with merchandising.
Why dwell numbers disagree
Most published dwell figures come from mobile location data, where a “visit” is a phone pinging near a store, or from sensors at a door. The methods disagree because they measure different things: door sensors measure the visit length, mobile data approximates the stay radius, and Wi-Fi measures dwell per zone inside the store. A number without its method attached cannot be compared with another. Bumbee Labs’ Wi-Fi method measures dwell per zone on the network the store already runs, anonymised at source. It is the only footfall method in Europe approved by a data protection authority, the Swedish IMY.
Dwell vs conversion
Dwell only matters in relation to conversion. A fitting room where dwell rises and conversion follows has found its bottleneck; a checkout where dwell rises without more transactions has found a queue. Read together, the two metrics separate interest from friction, and the store-type pages read them that way: clothing stores, grocery stores, DIY and hardware stores and pharmacies.
Build your own dwell baseline
The useful benchmark is your own: dwell per zone on your floor, read week over week, with changes traced to the refit, the queue or the campaign that caused them. Counting starts on the Wi-Fi already in the store, and the first season gives you a year curve no published average will ever contain. The format-level context for conversion is on retail conversion benchmarks.
At Ray our motto is customer success, and we are excited about our partnership with Bumbee Labs. Complimenting the seamless Wireless provided by Ray, our customers will now be able to leverage the deep analytics provided by Bumbee Labs and take informed business decisions to aid their growth.
Frequently asked questions
What is a good dwell time in retail?
There is no published store-type benchmark to quote, because what a good dwell looks like depends on the format and the zone. The useful measure is your own baseline, per zone, week over week. A fitting-room dwell of five minutes can be excellent for one store and a queue for another.
How is dwell time measured?
It depends on the method. Door sensors measure visit length, mobile location data approximates stays from phone pings, and Wi-Fi measures dwell per zone inside the store, on the network the store already runs, anonymised at source. The methods answer different questions, which is why published numbers disagree.
Is dwell measurement GDPR compliant?
Bumbee Labs' Wi-Fi method anonymises at source: personal data is irrevocably deleted, leaving only anonymous, aggregated statistics. It is the only footfall method in Europe approved by a data protection authority, the Swedish IMY.