Traffic flow analysis is the study of how people move through a physical space, including which entrances they use, which routes they take and where flow slows or stops. It describes direction and sequence, not just how many people were present.
Data comes from sensors placed at entrances and across the floor, or from overhead cameras with analytics. Each anonymous person is followed as a moving object, and the system aggregates thousands of journeys into common paths, entry and exit splits, and the share of visitors who reach particular areas. Results are shown as flow arrows, path diagrams or tables.
Retailers use flow analysis to place popular items, decide where promotions should sit and design walkways that expose more product. Shopping centres use it to understand how shoppers move between anchor tenants, which entrances matter and how to plan signage. Venues use it to manage crowds and plan safe exits.
There are points to watch. Flow can be shaped by fixed features such as escalators, doors and lifts, so changes to layout should be judged against those constraints. Short measurement windows can mislead, particularly around events and sales, so patterns should be checked across several weeks. Sensors need overlapping coverage to follow journeys without gaps.
Traffic flow analysis matters because it shows whether the store is working the way it was designed. A layout may assume customers will pass a key display, and the data shows whether they do. Linking flow to sales by area helps retailers refine the shopper journey with evidence.