OCR TRAFFIC ANALYSIS · C5
What is happening around
your doors — and inside them
Retail operators and property teams have POS data, foot-traffic logs, and occupancy figures. What they do not have is the connection between those internal numbers and the external world driving them. Physical Space Intelligence starts with what the market is saying, crosses it with what is happening in your stores, and — where needed — goes into the space itself with OCR and video-based movement analysis — the technology layer that turns physical traffic into structured, comparable data.
THE CORE DIAGNOSIS
The discovery-to-door gap
Strong social presence, weak footfall: the most common — and most misdiagnosed — pattern in Hong Kong retail. Either social interest is failing to become a store visit, or people arrive but do not convert. Those are different problems with completely different fixes, and without the diagnostic you are guessing which one to solve.
FIVE SITUATIONS
Buzz without footfall
Category trending, engagement healthy, weekend footfall flat. The diagnostic identifies precisely where the breakdown happens — interest-to-visit, or visit-to-purchase.
Unexplained variance across locations
Same product, prices, promotions — three locations behaving completely differently. Each is crossed against the external signal in its specific catchment: demand problem, conversion problem, or the space itself.
Campaigns landing, conversion lagging
We track whether a live campaign is building genuine visit intent or generating paid reach that never leaves the feed — with a course correction while the budget is still unspent.
Planning on last year's numbers
A probability-weighted demand forecast for named upcoming events — base, upside, downside — so staffing and inventory are set for what is coming, not what happened twelve months ago.
Layout decisions without traffic intelligence
Video-based analysis of where people walk, stop, and skip: an attention heat map, an enter-versus-purchase count, and a movement map. For property clients, the evidence base for tenant placement, leasing, and capital decisions.
TWO CLIENT TYPES
Operators and owners
Retail brand operators who want to understand the gap between social visibility and actual foot traffic. Commercial property owners and mall operators who want leasing and investment decisions made with real data behind them.
A ranked action plan: what to fix first, in order of revenue impact, with time and effort attached.
Diagnose your own space
A sample traffic diagnostic, or a scoped quotation for monitoring, diagnosis, or in-space analysis
The traffic methodology and event-forecast calibration are published in Research & Updates →