Retail intelligence, after hours
See visitor flow, busy zones, and the moments that shaped the day. Built for store teams who need a clear answer by morning.
On-device by design
02Built for real store video
03Reports ready for the morning
A clearer close
StoreMeter translates hours of footage into a compact operating view: who came through, where attention gathered, and when the floor changed.
Browser playground
Drop in a short store video and run a local scene scan. Your file stays in the browser; the interface is already wired for qualified flow analysis releases.
Try the playground
01 / Visitor flow
Open the day to a concise visitor summary. Move from total activity to the exact windows that deserve a closer look.
02 / Floor signals
Review entries, exits, busy zones, and wait pressure in a report designed for a quick team conversation rather than a technical audit.
Test a store clip
The StoreMeter system
A technical pipeline under the surface, a calm operating view on top. Each stage stays replaceable so the product can improve without turning the interface into a lab.
Select a store clip or camera export.
Sample the day into consistent visual moments.
Turn movement into stable floor signals.
Open a concise report built for action.
What arrives by morning
StoreMeter keeps the technical layer underneath and brings forward the few signals a store team can act on immediately.
Visitor flow, directional change, and the strongest operating window stay visible at a glance.
Peak crossingSecondary pathMove from today’s result to a pattern without losing the original floor context.
From floor signal to commercial impact
StoreMeter does not create demand by itself. It shows where today’s traffic meets waiting, poor timing, or an unclear floor—so the team can test one change and measure whether more visits become purchases.
Traffic rises while the queue and entrance begin competing for the same floor space.
Act on a specific moment instead of changing the entire store from instinct.
Keep the change only when more of the existing traffic completes the visit.
At 151 daily visits, a measured 1.2-point lift represents about 54 additional purchases per month.
Retail operating notes
Practical guides for foot traffic, busy zones, store video, and the conversion questions that connect a better visit to stronger revenue.
Explore all insights ↗See how retailers can connect visitor data, store-floor friction, and conversion rate experiments without confusing an opportunity model with a forecast.
Learn how retail foot traffic analysis turns store video into useful visitor patterns, peak-hour context, and measurable operating decisions.
A practical store video analytics workflow for finding busy zones, peak hours, queue pressure, and floor-layout questions without watching every minute.
Privacy is architecture
The playground is designed around local browser processing. Choosing a file creates a temporary local preview; it does not send the video to StoreMeter.
Try the local scan without signing in.
The selected file remains on your device.
Your clip is not retained for training.
StoreMeter for iPhone and iPad
Turn a camera export into a focused daily read—without turning your team into video analysts.
