Measuring whether storefront promotion actually turns into entries

JanJan, an entertainment chain in Suginami, Tokyo, promotes grand reopenings and new machines with signage at the storefront of its Minami-Asagaya location. But there was no way to know how many people passed the promotion, how many stopped to look, and how many actually walked in. Without proof of what storefront activity achieved, changing content or displays gave no signal of what improved.

SpaceVision installed a two-camera Storefront AI configuration that reads the storefront signage zone and the entrance together. One camera measures passing traffic and attention in front of the signage; the other measures entries — connecting storefront traffic to store entry as a single funnel. All processing happens on the on-site device, no video leaves the store, and no passer-by is identified.

A baseline emerged: more than 9,400 people pass the storefront weekly, and 3.8% of them enter the store. The hour-by-hour mix surfaced too — weekday mornings skew to visitors aged 60 and over, with younger groups rising toward the evening — giving grounds to schedule signage content differently by daypart. The effect of reopening promotions and content changes can now be read as movement in the entry-conversion rate.