Retail3 min read

Retail footfall analytics: the metrics that actually grow store sales

Footfall, conversion, dwell time, queues and heatmaps explained, with the questions each metric answers for store and mall managers.

Eagle Vision TeamComputer vision engineers and solution architects
LIVEIllustration

Sales data only tells half the story

Your POS tells you who bought. It does not tell you how many people walked in and left with nothing, how long they waited at the cashier, or which corner of the store nobody visits. Cameras that already hang from your ceiling can answer those questions.

Six metrics worth tracking

MetricWhat it answers
FootfallIs my marketing bringing people in? Which hours and days are busiest?
Conversion rateOf the people who entered, how many bought? (transactions ÷ visitors)
Dwell timeAre displays and promotions holding attention?
HeatmapsWhich aisles are hot, and which are dead space?
Queue length and waitWhen should a second cashier open?
Staff coverageIs the floor staffed when visitors peak?

Malls and multi-branch chains

For malls, the same data shows how visitors move between entrances, food courts and anchor stores, which supports leasing decisions and event planning. For chains, comparing branches on the same metrics quickly shows which manager runs the best store and why.

  • Exclude staff from counts so numbers reflect real customers.
  • Count groups and families, not only individuals, for a fair conversion rate.
  • Use anonymous age and gender ranges for merchandising, never for identifying people.

Getting started in one store

  1. 01
    Pick a pilot store

    Choose a store with reliable POS data and cameras at the entrance and cashiers.

  2. 02
    Validate the counts

    Compare the camera counts with a manual count for a few hours before trusting the data.

  3. 03
    Act on one finding

    Change staffing in the peak hour, move a display, or open a second cashier, and measure the difference.

Questions we often hear

Is footfall counting accurate?

With a camera placed above the entrance looking down, counting is typically very reliable. Angled views and crowded entrances need validation against a manual count.

Do shoppers get identified?

No. Footfall, heatmaps and dwell time work on anonymous detections. No names or faces are stored for these analytics.

Keep reading

Related articles

All articles →
Book a demo

See it running on your own cameras.

Tell us about your site and the problem you want solved. We will come back with a demo plan built around it.

Chat with us on WhatsApp