Visitor analytics for hospitality
Enhance guest journeys and maximise every opportunity. Understand how visitors move, where they linger and what shapes their choices.
Measured across lobby, bar, restaurant and event spaces, privacy-first.
Why hospitality operators choose Bumbee Labs
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Revenue per visit
See how guests use the lobby, bar, restaurant and amenities, and where to lift F&B and retail spend.
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Right-sized service
Match staffing and service to real guest flow across every touchpoint.
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Privacy-first
Anonymous and aggregated by design; no guest is ever identified or profiled.
How it works
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Measure
Wi-Fi across the property (lobby, bar, restaurant, spa and event spaces), supplemented with camera/sensor counting for precise entrance and room counts.
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Process
The statistical engine filters, processes and calibrates the anonymous data against manual control counts.
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Deliver
Dashboards on the Explore portal, with API delivery into your own BI if you prefer.
What data you get
Measured anonymously per area and across the property, with each touchpoint tracked on its own and in relation to the others.
- Visit counts and dwell time per area (lobby, bar, restaurant, spa, event spaces)
- Paths and flows, how guests move between touchpoints (the on-property journey)
- Peaks and trends for staffing and service
- The conversion funnel for F&B and retail spaces; with POS integration, average spend per visit
- Cross-property benchmarking for multi-site groups
- Event and campaign impact
With POS/cashier integration, layer average spend per visit and sales-per-minute on top of footfall.
Success is built on the guest experience
From hotels and resorts to conference centres and restaurants, hospitality runs on guest experience, efficient operations and revenue per visit. Knowing how visitors move, where they stay and what influences their choices is the key to all three. Privacy-first visitor analytics, built on the only footfall method in Europe approved by a data protection authority, show how guests use the property so you can smooth the journey, lift profitability and, for groups, run many similar properties on the same evidence.
What hospitality operators use it for
- Increase visitor numbers and repeat stays.
- Optimise use of the lobby, bar, restaurant and amenities, and lift F&B and retail revenue.
- Monitor venue occupancy in real time to right-size service across event spaces, restaurants and public areas.
- Improve conference and event planning with real guest flow data.
- Allocate staff and service across guest touchpoints.
For a practical way to build rosters around measured guest flow, see staff planning with footfall data.
Proof from multi-site operators
The “many similar locations” challenge, measure consistently, benchmark, spread best practice, is proven across a flagship Stockholm shopping mall (rolled out to further malls) and a large Scandinavian retail chain, both using dwell, flow and conversion data to lift performance. See the case studies →
Curious what this looks like for your venue?
Compliant where it counts
Approved by a data protection authority and validated by academia, partners and customers, with nothing personal in the data, ever.
By partnering with Bumbee Labs we have opened the door for our end-customers to radically change the way they plan and prepare for the future. They can look to attract more visitors and reform their offer to tailor it to the wants and needs of individuals in and around their sites. This can all be achieved without any additional investment in physical hardware thereby reducing costs, while bolstering their return on investment.
Frequently asked questions
Can we measure individual areas like the bar or restaurant?
Yes. The lobby, bar, restaurant, spa and event spaces can each be zoned, so you see visit counts, dwell time and flow for each, and how guests move between them.
Does this work across a multi-property group?
Yes. The same metrics are delivered consistently across properties, so you can benchmark and spread best practice, the same approach multi-site retail chains use.
Can we connect it to spend data?
Yes. The POS/cashier feed can be integrated to layer average spend per visit and sales-per-minute on top of footfall.