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Boost revenue by increasing visitor dwell time at your venue.

Did you know that the amount of time guests spend in your theme park, known as dwell time, can be one of the most critical factors in driving revenue and guest satisfaction?

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What is Dwell Time?

​Dwell time refers to how long a guest stays within your venue. It’s not just about how long they’re in line for rides; it’s the total time spent exploring, dining, shopping, and simply soaking in the experience.

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Why does it matter?

  • Longer dwell time means guests engage more with attractions, dining, and shopping.

  • Increased engagement leads to higher per-capita spending.

  • Dwell time is also a key indicator of guest satisfaction.

  • Guests who stay longer are likely having a great time, increasing chances of return visits and positive recommendations.

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How does Nola measure Dwell Time?

Nola is an anonymous-by-design platform, meaning we do not use facial recognition to re-identify individuals. Instead, we use a similarity algorithm to be able to pair matches succesfully.

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How do I use Dwell Time data?​

  1. Establish a benchmark during different periods to 

  2. Leverage other data points to establish correlations leading to longer or shorter dwell times. This can include weather, queue wait times and other CSAT survey scores.

  3. Establish the correlation between dwell time and your revenue

  4. Embed dwell time data within your CSAT scores.

  5. Review the entire distribution of dwell time across your visitors

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Interested in learning more on how Nola and help your business deliver a better visitor experience? Contact us for a free demo.

 

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Queue count and wait times

  • Queue count: Total number of visitors currently in queue.

  • Wait time:  The amount of time it takes someone at the back of the queue to reach the front. For this example we also factored extra time into the formula to account for a short safety demonstration prior to visitors boarding the chair lift. This is a custom formula and varies based on individual ride requirements.

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Operational Efficiency

  • Staff count: Recommendations on required staff based on pre-set staff-to-customer ratios.

  • Queue time Vs Staff: Displays the relationship between staff and queue length.

  • Ride count. How many people have used the chair lift. This can be adjusted to any time interval.

  • Ride performance / Utilisation (%): Measuring efficiency against it's potential maximum output.

  • Bottleneck causes:  Displaying the reasons why the chair lift wasn't performing at it's maximum. This example highlights the low performance is due to either under-staffing or lack of visitor flow.

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Security

  • Virtual trip wire detection of people entering a restricted area / no-go-zone.

  • Immediate alerts/push notifications sent to nominated staff.

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Nola is anonymous by design

  • Nola does not use facial recognition or individual identification technology of any kind.

  • Nola does not produce or store any information about individuals.

  • Nola works by processing video footage from cameras installed on customer premises and generates anonymised numerical statistics as output.

You can read more about how we keep data secure in our Security and Privacy Statement.

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Deliver Better Visitor Experiences with Nola.

Contact us for a free demo

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