Glossary
Footfall analytics
Measuring and analyzing how many people enter, move through, and dwell in a physical space, most often a retail store.
Also called: foot traffic analytics, people counting
Footfall analytics turns physical foot traffic into measurable data: how many people entered a store or mall, when, and increasingly where they went once inside. It is the physical-retail counterpart to web traffic analytics, using sensors, cameras, or Wi-Fi and Bluetooth signals rather than page views and clicks.
Common inputs include infrared or thermal door counters, video with computer-vision people-counting, and anonymized device-signal tracking; the resulting data feeds metrics like hourly visit counts, average dwell time, and zone-level heatmaps of movement within the store. A key derived metric is in-store conversion rate: transactions divided by footfall, which shows whether traffic is actually converting to sales rather than just measuring how busy a location looks.
Retailers use footfall analytics to staff stores to actual demand, evaluate whether a planogram or window display is drawing people in, measure the effect of promotions or store redesigns, and benchmark locations against same-store sales trends. Pitfalls include double-counting people who pass the same sensor twice, undercounting in crowded entrances, and privacy concerns around device or camera-based tracking, which in many jurisdictions requires anonymization or disclosure and should not be treated as identifying individual shoppers.
Last reviewed September 22, 2026