Visitor analytics for retail
Every day your stores answer the only question that matters, how many came in and what did they do, in numbers you never see. Retail footfall analytics makes the answer visible, store by store, anonymously.
From single stores to nationwide chains, measured anonymously, privacy-first.
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Why retailers choose Bumbee Labs
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The full conversion funnel
Passers-by, entries, dwell and purchases connect into one funnel per store, so you see where sales are won and lost before the till.
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Every store, same ruler
Identical metrics across the whole estate turn your best stores into the playbook for the rest, and make weak locations impossible to hide.
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No cameras needed, no GDPR risk
Counting runs on the Wi-Fi you already operate, anonymously by design, with camera and sensor precision added only where you choose it.
How it works
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Measure
Wi-Fi across the sales floor, usually on the access points you already run; 3D sensors, AI cameras or LiDAR added at entrances where exact counts matter.
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Process
Anonymous signals are filtered, processed and calibrated against manual control counts in Bumbee Labs' statistical engine.
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Deliver
Dashboards on the Explore portal per store and per region, or straight into your BI through the API.
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 and campaign or event impact over time
The sales report tells you what sold. Not who almost bought.
Retail runs on a funnel it rarely measures: people pass the window, some walk in, some linger, some buy. The till only records the last step. Everything before it, the capture rate of the window, the dead zone at the back, the hour when the floor is full but the counter is quiet, is where sales are actually won and lost. Retail footfall analytics measures those steps anonymously and turns them into decisions: layout, staffing, campaigns, rent.
What retailers use it for
- Lift capture rate: measure how many pass versus enter, and what the window changes.
- Fix the funnel: connect entries to transactions and see conversion per store, per hour.
- Kill dead zones: dwell and heatmaps show where the floor works and where it doesn’t.
- Staff to demand: roster against real arrival curves, not gut feel.
- Benchmark the estate: same metrics everywhere, so the best stores teach the rest.
Proof: a Scandinavian retail chain
A large Scandinavian retail chain ran the same conversion-funnel and dwell measurement across its locations and used it to cut marketing costs, optimise staff scheduling and eliminate in-store dead zones, with every store measured the same way, the best stores became the template and profitability followed. Read the retail chain case →
One store or five hundred
The measurement scales in both directions. A flagship store uses it to prove the brand statement works; a pop-up gets a fast read before the lease ends; a chain benchmarks hundreds of sites on one ruler. The method underneath is the same: anonymous, aggregated, and built for exactly that range.
Curious what this looks like for your venue?
Compliant where it counts
Retail measurement from Bumbee Labs runs on the only footfall method in Europe approved by a data protection authority. Full insight into every store, no personal data, no privacy review drama.
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 everything around it, passers-by outside, capture rate, dwell, zone flows and conversion, so you know not just how many came in but why, where they went and what to change. The comparison is covered in depth in our people counter vs analytics guide.
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 the questions are the same, does the window convert, where do visitors linger, when should staff 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, 3D sensors, AI cameras or LiDAR can be added at the points that need them, still without storing personal images in counting mode.
How does this stay GDPR-compliant in a store?
Personal data is irrevocably deleted as part of the method, leaving only anonymous, aggregated statistics, and the method was reviewed and approved by a European data protection authority. Your privacy review starts from a question that has already been answered.