Journey Analytics

Where they went. Where they stopped.

The route through the store as data: zones visited, seconds spent, paths between departments, displays passed and displays that held attention. Measured on 3D sensors, without identifying anyone.

Zone dwell to the second
Heatmaps and paths
Staff filtered out
Layout A/B tests

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Journey Analytics: a floor heatmap of dwell time in the dashboard, and the sensor view with tracked paths

Trusted by leading European retailers

What you get

The store, zone by zone.

Zone visits and dwell Who entered which zone and how long they stayed, to the second.

Heatmaps Where the floor is busy and where it is dead, per hour and per day.

Paths and flow The routes between entrance, departments and checkout, and the order they are visited in.

Cross-shopping Which departments are visited together, for adjacency and promotion planning.

Attention Where people face while they stand: which displays get looked at, which are passed.

Queue behaviour Time spent in the checkout queue, by hour, and how often people leave it.

How it works

Tracks, not faces.

01

3D sensors on the ceiling

Stereo sensors cover the sales floor and turn movement into coordinates, on the device.
02

Paths from coordinates

The platform builds paths, dwell and heatmaps from those coordinates. No face recognition, no video stored.
03

Staff filtered out

Areas where staff work are marked, so staff movement stays out of customer metrics.

Privacy

Journey Analytics works with movement coordinates from 3D sensors, not video. Paths are not linked to a name, a face or a card. Demographic estimates are optional, made on the sensor, and documented per site for GDPR review.

What it changes

Three questions a floor plan cannot answer on its own.

Test a layout before rolling it out

Change one store, compare dwell and flow against a control store, decide with numbers.

Place displays where the eyes are

Attention and pass-by data show which positions get seen, which is what a media plan needs.

Find the bottleneck

Where flow slows and queues form, by hour, before customers complain.

Goes with

Journeys start at the door and end at a screen.

Traffic Analytics The count at the door that every journey starts from. In-store Analytics The daily AI briefing over all of it. In-store Media Assessment Turn dwell and attention into a media value for your space. ScreenIQ Verified views per screen, where the journeys pass.

From Our Knowledge Hub

See your own floor as a heatmap.

Tell us the store you want to start with. We come back within two business days with a demo and a sensor plan for that floor.

Request a demo

2,000+

locations measured

250M+

visitor sessions

20+

countries

Questions

What people ask before they measure a floor.

Does it identify individual shoppers?

No. Sensors output the coordinates of a moving person; the platform turns them into paths, dwell and heatmaps. There is no face recognition, no video, and no link to a name, a face or a card.

How is dwell time measured?

As a visitor's time inside a zone drawn on the floor plan, from entry to exit, aggregated per zone and hour. Zones can be redrawn without touching the hardware.

Can it separate staff from customers?

Yes. Areas where staff work are marked, and movement classified as staff is excluded from customer metrics.

Which sensors are used?

Xovis 3D stereo sensors mounted on the ceiling. Coverage depends on ceiling height and floor size; a sensor plan for your floor is part of the demo.

Does it work with Traffic Analytics?

Yes. Both run on the same Pygmalios platform, and the entrance count from Traffic Analytics is the base every journey metric is measured against.

How long until we see data?

A single store is usually live within 2 to 4 weeks, including the sensor plan and the zone drawing.