Core Definition
Footfall analysis automatically measures the number of customers visiting a store and their timing patterns. By capturing entries, inflow by time of day, peak times, and visit frequency, it provides the foundational data to optimize staffing, restocking, and promotion timing.
Why footfall counts need to be measured precisely
Sales figures alone show how much a store earned, but not how many opportunities it missed. Footfall analysis identifies the scale of visitors who did not make a purchase, providing a baseline for improving conversion rate.
Visit patterns by time of day also serve as the basis for staff scheduling. If visits concentrate between 11 a.m. and 1 p.m., a store can add staff during that window, and use quieter periods such as 3 p.m. for restocking or cleaning to raise operating efficiency.
Examples of applying footfall analysis data
In convenience stores, linking footfall analysis with POS sales data allows precise calculation of the purchase conversion rate. Tracking changes in conversion rate by day of week and time of day verifies the effect of shelf resets or promotions.
In logistics centers, measuring how often workers move through each zone helps optimize movement paths or identify safety blind spots.
How SAAI Uses It
SAAI's saai care automatically tallies footfall per hour using entrance cameras. Anonymization keeps only the fact that a visit occurred, with no personal data recorded. The saai insight dashboard then supports year-over-year comparisons, before-and-after event analysis, and weather-linked analysis.
See it in action