Footfall analytics and people counting,
built for decisions.

A people counter does one job: it counts the people who enter and leave a space. This tells you how many visitors you had, and when did they arrive. Everything else in retail analytics - conversion rate, capture rate, sales per visitor, staffing to demand - divides by or builds on that number. Which is why the count has to be right.

Glimpse counts using your existing CCTV cameras with virtual footfall lines drawn across each entrance in the camera view. Every crossing is logged as an entry or an exit; the same person crossing twice - stepping out for a phone call, holding the door - is de-duplicated, so the count is visitors, not door-openings. Any number of lines can be created and aggregated, so a store with four doors reports one footfall figure, and each door can still be seen on its own. Counts are recorded at minute-level resolution and rolled up to 15 minutes, hour, day, week and month.

Lines are tagged by what they measure - footfall at the perimeter, passer-by outside the store, and flow for internal movement. Counts are then organised in a hierarchy, tagged by region, store type, location, entrance or zone. That is what makes the same count useful to a board (estate total, like-for-like), a regional manager (this format against that one) and a store manager (this door, this hour).