Theme Parks

Create an effective crisis management strategy and provide all visitors with an unforgettable park experience with V-Count’s theme park analytics.

Theme parks are perhaps the most visited attractions in the world after music concerts and sports events. Unlike the other two, however, most of the visitors at theme parks are children and teenagers. A park with hundreds of activities and thousands of children running around is quite difficult to manage and oversee. It is even more challenging to ensure that all visitors remain safe while enjoying a remarkable experience; this is where our theme park management system comes into play.

V-Count’s theme park management software can help managers keep tabs on all visitors, anticipate and manage queues, and maintain orderliness and hygiene in common areas like food courts, baby care rooms, and bathrooms. Theme park footfall analytics also make it possible to devise efficient crisis management strategies, cross-check visitors’ passes to keep security tight and deploy workers to areas with high occupancy and activity.

Benefits of Visitor Analytics to Theme Parks

Real-time Visitor Tracking

Theme park analytics will allow you to know where every visitor is in real time and measure how much time they spend there. This will make it easier to manage dangerous situations and avoid overcrowding.

Queue Management

Reduce wait lines at popular attractions and redirect visitors to less congested areas.

Improve Park Design

Use visitor traffic data to improve park design, keeping areas of high interest away from each other to avoid bottlenecks.

Efficient Staffing

By using amusement park management software, deploy enough staff to handle the number of visitors at every attraction, and to maintain hygiene, send cleaners to common areas after a number of people, (say 20), have used them.

Improve Security

Use heat map data to create security and crisis management protocols and upgrade protocols during periods (or in areas) of high activity.

 Group Counting

Ensure your data is accurate by counting groups that came together as one potential customer.