Platform

One dashboard for every location

Overview, live occupancy, trends, zones, conversion, reports and device health — in the browser, nothing to install, on any screen.

app.pcountr.com — Overview
Pcountr Overview screen: visitors, conversion, average dwell time, capture rate, peak occupancy and sales per visitor, with a visitor trend line, weekday pattern, hourly comparison and visitors by store.
Screen by screen

What is in the product today

Everything listed here is live and in use. Nothing on this page is a roadmap item.

Live Occupancy

How many people are inside each location right now, rising and falling as they walk in and out. Occupancy against capacity, per site, at a glance.

Traffic Trends

Visitor trends across any range, an average-per-day marker, an hourly profile, and a weekday × hour heatmap that makes your busy windows obvious.

Store Performance

Every location side by side — footfall, capacity use and performance — so the outlier stands out without building a spreadsheet.

Zone Analytics

Traffic distribution between zones inside a single site. Which entrance, which floor, which gallery.

Conversion Funnel

Passersby → visitors → transactions, with capture rate and conversion rate. Upload POS figures and the funnel completes itself.

Reports & Export

Build a report, narrow it to the hours that trade, and export to Excel or CSV for whoever wants a file.

Device Health

Accuracy, uptime and last-seen for every sensor, so a unit that stopped counting is visible immediately instead of at month end.

Multi-Location & Users

One account, many sites. Separate data per organisation, with admin and viewer roles for the people who should only read.

Trends

Find the hours that matter

Daily visitors against your average, the shape of an average day, and a weekday × hour heatmap of the whole period.

app.pcountr.com — Traffic Trends
Pcountr Traffic Trends screen: total visitors, average per day, busiest day and busiest hour, with a daily visitor line, an hourly profile bar chart and a weekday by hour heatmap.

See it with your own data

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