Visitor analytics for events and experiences

Visitor analytics for events and experiences is people counting for events, venues and visitor attractions: it measures visitors, occupancy, queues and crowd flows. Wi-Fi covers wide outdoor areas, while sensors at the entrances give exact counts. Bumbee Labs is the company behind the only footfall method in Europe approved by a data protection authority.

What can visitor analytics measure at events and attractions?

Counts show how many people arrive and leave over the day, and occupancy shows how full each zone is at any moment. Zones follow the layout of the site, from entrances, stages or rides to food and drink, shops and the routes between them. Occupancy per zone is read against limits you set, and the Crowd Alert add-on can send an alert when a zone passes its threshold. Dwell time at each attraction and queue build-up show where visitors wait or linger. Visitor flow heatmaps show which areas fill up and which stay quiet. Peaks and trends are reported by hour, day and season.

Which venues and attractions does visitor analytics cover?

Amusement and theme parks spread rides, restaurants, shops and shows over one large site. A zone can be a single attraction as well as an entrance or a food and retail area, so each part of the park is measured on its own. Parks are covered in more detail on the theme park analytics page.

Arenas and event venues fill and empty in waves: the entry surge, the interval rush to concourses and kiosks, and the exit at the end. With sensors at the gates and Wi-Fi across the concourses, an arena gets crowd monitoring through each wave.

Festivals and other temporary events use portable, anonymous counting that goes in during the build-up and comes out with the teardown. The organiser keeps the data.

How does visitor analytics work at a ski resort?

At SkiStar in Åre, guests see the queue status at selected lifts in real time, in the SkiStar 360 app and on digital screens: green means no queue, yellow a short one and red a queue. Run in collaboration with Bumbee Labs, the service started as a pilot over an Easter break and has run for two years. It is free for guests, helps them plan the day and evens out flows across the ski area. The queue status comes from AI and anonymised Wi-Fi analytics, and no personal data is produced. Read Two years of AI-based queue status on the lifts at SkiStar.

How is visitor privacy protected at events and attractions?

Visitors are counted as anonymous, aggregated flows, and no individual is ever identified or tracked. Wi-Fi people counting produces no personal data. The optical 3D sensors at gates store no personal images, and LiDAR covers outdoor zones without a camera. The dashboard and the API deliver aggregated statistics only.