In-Store Heatmap

Also known as: Store Heatmap, Traffic Map, Store Traffic Analysis

Visualization of traffic and attention within a store, showing which zones concentrate the greatest shopper flow or dwell time.

The In-Store Heatmap is a visualization showing the spatial distribution of shopper traffic within a store: which zones concentrate the greatest flow of people, how long they stay in each area, and what navigation routes are most common.

It is generated from: video camera data with AI motion analysis, infrared traffic sensors, wifi/Bluetooth geolocation data, or a combination of several sources.

In-store heatmaps are fundamental for: optimizing store layout, identifying 'cold' zones with low traffic that need activation, measuring the impact of changes in space organization, and evaluating the appeal of special displays.

Atlantia incorporates in-store traffic analysis in its geomarketing and shopper insights projects.

See related solution