Retail Metrics

Measuring Impact on the Shelf

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The triggers which lead to purchases in retail are still largely unknown. Lately, a number of industry initiatives and projects from large FMCG companies have focused on possible frameworks to understand how shopper behavior in stores; how customers peruse specific categories; why they eventually buy; and what is the variability across people. Quividi offers retailers, brands and research agencies an elegant solution to finely analyze shopper behavior in key retail zones.

A consumer webcam repackaged for audience measurement needs Small and unobtrusive video sensors are placed along the shelves, either at regular intervals, or in specific zones, or embedded in a branded fixture; the sensors provide multiple video streams that are analyzed in real time by VidiReports running on a nearby PC. VidiReports counts and classifies face exposures determining ow many shoppers looked at a zone on a shelf and for how long. Fully respecting visitors’ privacy, VidiReports does not record any image, nor does it record any uniquely identifiable data.

The anonymous audience statistics are immediately uploaded via wired or wireless network connectivity to Quividi’s datacenter, where charts and color-coded tables reveal the number of passers-by (OTS), the number of actual viewers, their attention and dwell times, as well as their demographic break-out (gender and age group). Third party information, such as store in/out counts and EPOS data, can also be uploaded to VidiCenter for correlation analysis.

A sample output table

Quividi’s solution for retail metrics can also be used as an "intelligent turnstile": by orienting sensors toward the store entrances, the demographics of the varying store attendance can be analyzed over time.

Allowing a rapid deployment and relying on inexpensive hardware, Quividi's solution provides great insights for brands, retailers, category managers and research agencies, over both short-term and long-term analysis windows.