A live floor-plan heatmap of what's playing where, a measured count of how full each corner actually was, hot-event coverage and weather-aware reporting β so you always know your floor is working as hard as it can.
Live floor-plan heatmap β replaying where the room was watching, screen by screen
Your real floor layout, with every display color-coded by how much it's carrying β spot dark corners instantly.
Add the Data Master appliance and the room is counted, not guessed β how many people were in front of the screens, hour by hour, with the whole history kept. How it works β
Toggle video, tapestries, and signage as separate layers to see exactly what each screen is showing.
Overlays tonight's ranked games on the map so you can confirm the big matchups are on the right TVs.
Precipitation and conditions layered into your analytics β context for why a night played the way it did.
Drill into any screen for uptime, what it carried, and how its coverage trended over the week.
Every view exports to a spreadsheet for ownership, corporate, or your own deeper analysis.
Coverage tells you what a screen carried. Occupancy tells you whether anyone was standing in front of it. A small appliance on your network counts the room passively β no cameras, no app, nobody identified β and keeps the history, so "Saturdays are busy" becomes a number you can act on and hand to an advertiser.
Every bucket is labelled in your local time, not the server's.
The appliance passively counts the unique Wi‑Fi radios close enough to be in the room β not everything the antenna can hear from the street.
Identifiers are hashed on the box with a salt that rotates daily and never leaves it. Only counts are sent. No cameras, no faces, no app, nothing for a guest to opt into.
One phone advertises several rotating identities β those are merged before counting. Then devices are divided by a per‑person figure you tune, and your own overnight equipment is learned and reported separately.
The measurement feeds ad‑slot valuation directly, and a measured hour outranks a forecast one β so a night that really was packed gets priced like it. See advertising β
A room with no sensor says so. Occupancy is a per-venue add-on, and a location without it reports not measured rather than zero β so a chain average is never quietly propped up by stores nobody counted. Running several venues? See how it rolls up across a chain β
GameViewYour Venue Β· last 7 days
Coverage by zone, uptime, top networks, and trends β summarized for the whole venue and broken down per display. When corporate asks "was the game on?", you have the answer in one screen.