Combines eye-catching, dynamic digital signage displays and content performance measurement. The solution can be applied to any window display, for example mannequins, product exposition and digital signage displays.
Identify whether the window’s design attracts customers’ attention by measuring how many people pass in front of it, how many looked at it and the demographics of the viewers (gender and age range).
Store Window Analytics is based on video analytics or/and Wi-Fi analytics technologies.
Measuring footfall and passersby is crucial in determining the potential of a store and understanding its acquisition capabilities.
The most relevant metrics obtained in footfall and pass analytics are number of visits, number of passes, number of visitors, number of passersby, conversion rate, total visit time, average visit time.
Focuses on how footfall traffic is spread from around a selected zone inside the store. A ceiling-mounted video sensor (IP wide angle camera) is used to identify customer flow and clearly see where customers stop and how long they spend there.
Flow Analytics are presented intuitively as heat maps of the store layout. Flow Analytics illustrates path dynamics, visualizing the directions customers take from a selected point. Insights for Flow analytics are valuable to optimize floor plan, product location and queue management.
Detects all moments when customers come into physical contact with product or object by scanning or touching it.
Currently supported technologies that provide interaction analytics include barcodes, RFID tags, QR codes and interactive kiosks based on touchscreens. Information is collected each time an item is scanned to identify, for instance, the most sought-after tagged product.
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