Case Study:
Queue Wait Times
Accurate Queue Wait Time Management with Minimal CCTV at Europe's 6th Most Visited Theme Park
The Challenge
Long wait times are one of the biggest drivers of guest dissatisfaction in theme parks, impacting NPS, in-park spending, and repeat visitation. Studies show that excessive queues can reduce guest spend by up to 20% and drive early departures.
Europe’s 6th most visited park wanted to address this with accurate, cost-effective insights, without overhauling their infrastructure.
The Outcome
The Theme Park improved operational decision-making, enhanced the guest experience, and reduced reliance on manual tracking, all with fewer cameras and higher accuracy.
Their goals:
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Track historical wait times to benchmark and improve operations
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Deliver real-time estimates for guest-facing dashboards and wayfinding
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Understand group throughput and departure patterns
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Ensure verifiable accuracy to build confidence across teams
The Solution
Using anonymised re-identification via existing CCTV, Nola provided:
✅ Accurate, ride-level throughput and wait times
✅ Minimal camera footprint—no new hardware required
✅ KPI-aligned analytics across rides and zones
✅ Verifiable accuracy using anonymised body signatures
