An illustrative view. In practice no footage is stored, and no one is identified or re-identified.
A ¥140,000 signage investment: visitors up 11.4% year over year
Linking who saw the signage to who actually walked in showed visitors up 11.4% on the same period a year earlier.
Visitor lift vs. same period last year
Additional visitors, April to August
Months with more visitors than last year
¥140,000 spent on signage, with no idea what it did
O-KI is Japan's leading premium Yonezawa beef retailer, running seven boutiques where 70% of revenue comes from people who walk in off the street. It put ¥140,000 into storefront signage to win back traffic it was losing to nearby competitors, but had no idea which content worked or which hours underperformed.
Attention per creative, tied to entries at the door
SpaceVision installed StorefrontAI directly in front of the store entrance. It records attention rate and attention time per creative alongside entries by hour and weekday, linking specific content to people actually coming in. Video is processed inside the on-site device and erased immediately; only anonymous aggregates leave the store.
The path from content and time slot to visits became visible
With entry data per creative and performance by time slot in hand, O-KI confirmed the signage investment had paid off. From April to August, visitors rose from 15,120 to 16,838, up 11.4% on the same period a year earlier, and every one of the five months beat the prior year. The comparison was checked against the store's own manual counts. Content is now scheduled by day of week and time of day.
Entry data per creative became the basis for scheduling
Investment check
See in numbers whether the signage investment turned into visits and sales.
Content scheduling
Compare attention time and entries per creative, then schedule by day and hour.
Rollout
Apply the same basis across the other boutiques and compare store performance.
Want the same data for your space?
Tell us the space and the period you want measured, and we will map out which metrics we can deliver first.