Retail footfall analytics: from the pavement to the till, for your kind of store
A clothing store, a grocer, a builders' merchant and a pharmacy have different problems, so each has its own page. Pick your store type below, or read on for what every store gets.
From single stores to nationwide chains, all measured anonymously and privacy-first.
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Choose your store type
A clothing store, a grocer and a pharmacy do not have the same problems. Each page speaks to one kind of store.
Clothing stores
Footfall analytics for clothing stores: see who walks past, who comes in, who reaches the fitting rooms and who buys, per store and per hour. No cameras needed.
Learn more →Grocery stores
Footfall analytics for grocery stores: checkout queues by the hour, the customer route through the store, campaign ends that work and staffing that fits.
Learn more →DIY and hardware stores
Footfall analytics for DIY, hardware and builders' merchants: trade and consumer flows by the hour, the yard and the store together, queues at collection.
Learn more →Pharmacies
Footfall analytics for pharmacies: prescription-counter waiting time by the hour, self-care versus counter visits, opening hours on real flow, no cameras.
Learn more →
By how the store is run
What every store type gets
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The whole funnel up to the till
Passers-by, visitors, dwell by zone and conversion, so you see where the sale is won and lost before the checkout.
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Every store on the same yardstick
With identical measures across a chain, the best stores become the model for the rest, and a weak location is easy to spot.
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No cameras required, no privacy risk
Measurement runs on the Wi-Fi you already have and is built to be anonymous. Sensors for extra precision are added only where you choose.
What data you get
Measured anonymously per store and across the chain, from the pavement to the till.
- Visitor counts, passers-by and capture rate (walking by → walking in)
- In-store conversion funnel: entries versus transactions with POS integration
- Dwell time, visitor paths and hot/cold zones for layout and merchandising
- Store-to-store benchmarking across the estate
- Peaks and trends for staffing, opening hours and campaign timing
- Repeat/return patterns (with visitor opt-in) and campaign or event impact over time
The sales report shows what sold, but not who almost bought
Retail runs on a funnel that is rarely measured end to end: people pass the window, some come in, some stay and some buy. The till only records the last step, but the sale is won or lost in the steps before it: the capture rate at the window, the dead zone at the back, the hour when the floor is full and the counter is quiet. Retail footfall analytics measures those steps anonymously, store by store, and turns them into decisions about layout, staffing, campaigns and rent. The store-type pages above show what that looks like in your kind of store, and every metric is listed in the full metric catalogue.
What retailers we measure have done with it
- Opened checkouts and moved staff on the hourly curve instead of the rota.
- Changed window schedules and campaign spots based on capture rate and dwell.
- Found dead zones with dwell and heatmaps, moved the goods, and measured the zone come alive.
- Changed opening hours after the flow outside showed neighbours trading while they were closed, or that a slow morning meant opening to an empty street.
- Benchmarked whole chains on the same funnel, weighted by floor area or location, and copied what the best store did.
- Used their own flow figures in rent negotiations, on both sides of the table.
- Measured a pop-up or a temporary floor to decide on a permanent one, and followed a new competitor nearby week by week.
- Gone from a pilot in a few stores to the whole estate, running on the Wi-Fi already in place, with sales data brought in through an integration with their own system.
One chain’s full story is in the retail chain case study. How the funnel is calculated is explained on in-store conversion rate.
Getting started
Most stores start on the Wi-Fi already in the building. Where exact counts matter, a small 3D sensor or LiDAR unit goes above the entrance. Staff are filtered out of the counts, and the results appear in the Explore dashboard or go straight into your own BI through the API. The method is the only footfall method in Europe approved by a data protection authority, so the privacy review starts from a question that is already answered. If you are not sure whether you need a simple counter, a sensor or Wi-Fi, start here. For many similar locations, see retail chains; a flagship or a pop-up has its own page too.
Curious what this looks like for your venue?
Compliant retail measurement
Retail measurement from Bumbee Labs runs on the only footfall method in Europe approved by a data protection authority. You get full insight into every store without personal data and without trouble at privacy review.
We are very excited by this collaboration with Bumbee Labs as their data expertise will complement our IoT know-how providing an unparalleled service to our clients across several verticals, industries and markets in the Middle East.
Frequently asked questions
We already have a door counter. What does this add?
A door counter gives one number per day. Footfall analytics connects that number to what happens around it: passers-by outside, capture rate, dwell, zone flows and conversion. You then know how many came in and also why, where they went and what to change. Our people counter vs analytics guide covers the comparison in depth.
Does it work for a single store, not just chains?
Yes. A single store gets the same funnel, dwell and zone data as a chain and has the same questions: whether the window converts, where visitors linger and when staff should be on the floor. Chains add benchmarking on top.
Do we need to install cameras?
No. The core measurement is Wi-Fi based and camera-free. Where you want exact entrance counts or queue metrics, you can add 3D sensors, AI cameras or LiDAR at the points that need them. These do not store personal images in counting mode either.
How does this stay GDPR-compliant in a store?
Personal data is irrevocably deleted as part of the method, so only anonymous, aggregated statistics remain. The method was reviewed and approved by a European data protection authority, so that question is already answered when your own privacy review starts.