Fair Visitor Analytics
Know what fairgoers actually do on your grounds, not just that they showed up.
Beyond the Turnstile Count
Most fairs know their attendance and little else. A gate count tells you how many came; it says nothing about what they did once they were inside: which vendors they hunted for, where they walked, which sponsors caught their eye, or where they came from to get there. Fair visitor analytics closes that gap.
Because Yubigo’s map is opened by a QR scan with no download, it reaches a broad slice of your gate, and every interaction on that branded map becomes a measurable signal, tied entirely to your event.
What Gets Measured
- Vendor & food search: what fairgoers look for by name and by category
- Navigation patterns: which destinations draw wayfinding requests and how visitors move across the grounds
- Dwell & duration: how long visitors engage with the experience
- Sponsor engagement: how often sponsors appear in searches, listings, and interactions
- Visitor origin: the states and regions your fairgoers travel from
- Device mix: the platforms visitors use to reach the map
- Plan-ahead activity: what visitors browse and save before the gates open
- Visitor surveys: overall experience, likelihood to recommend (Net Promoter Score), group size and how visitors heard about the fair, asked on-site in the app at a natural moment, with a short follow-up after the fair
This is direct measurement from visitors who choose to engage, not extrapolated from small samples or passive device tracking.
Real-Time During the Event
Analytics are live while the fair is running. Your team can watch active visitors, trending searches, and engagement as it happens. It’s useful for staffing, crowd flow, and same-day decisions, not just the post-mortem. The deeper feature breakdown lives on the fair analytics & visitor data page.
Reports as Soon as the Fair Wraps Up
As soon as the fair wraps up, your report is ready to generate, not weeks later. It covers visitor engagement, platform adoption, vendor activity, navigation, and sponsor visibility, in a format you can put in front of your board. You can generate a custom report for each sponsor too; see sponsor ROI & engagement reporting for how that strengthens renewals.
Privacy by Design
Analytics and visitor privacy aren’t in tension here. Yubigo requires no accounts or emails, uses no background location, and it never sniffs the wireless signals fairgoers’ phones broadcast. Fairgoers choose to open the map, and the first time they do at the fair, a short privacy notice explains what’s collected, which they acknowledge before continuing. Nothing is measured outside your fair’s app. Every metric is anonymous and tied to your event. None of it is sold, pooled across unrelated venues, or used for advertising. Because the measurement is first-party and consented, it also holds up as phones grow more privacy-protective (more on that in privacy-first fair analytics).
No Beacons, No Sensors, No Build-Out
The other way to measure a crowd is hardware: Bluetooth beacons, Wi-Fi sniffers, and door sensors seeded across the grounds. That approach is a capital project: beacons run roughly $10–$15 each but need several per building-sized zone, and a fairground is acres of open midway. The real bill comes after install: batteries die every 6–12 months, and someone has to walk the grounds replacing and recalibrating them season after season. It’s a cost only the largest venues can justify, and even the industry that sells it is moving toward software-first measurement.
Yubigo needs none of it. The “sensor” is the QR code already on your signage and the map fairgoers open on the phone in their hand. That’s why the same analytics reach a county fair drawing 15,000 and a state exposition welcoming over a million, there’s no hardware footprint to scale, power, or maintain.
Built for Fairs of Every Size
Because nothing has to be installed, the barrier that keeps richer analytics out of smaller fairs simply isn’t there. See how it fits your operation on the platform overview for fairs, or read a fair navigation case-study framework for what a rollout looks like.
Frequently Asked Questions
How does surveying visitors work?
Surveys are built into the fair app, so there is nothing for your team to hand out or collect. Once a visitor has spent time on the grounds using the app, it asks a few quick questions at a natural pause, not mid-search, and only once. The questions cover their overall experience, how likely they are to recommend the fair (Net Promoter Score), the size of their group and how they heard about it. Fairgoers who saved their plan by email and came get a short follow-up after the fair. Responses appear in your dashboard during the event and in your post-event report, so you get the numbers your board and sponsors ask for without survey staff, clipboards or manual data entry.
What is fair visitor analytics?
Fair visitor analytics is the measurement of how fairgoers engage with an event's grounds: what they search for, where they navigate, which vendors and sponsors they interact with, how long they engage, and where they traveled from. Yubigo captures this directly from visitors who use the fair's interactive map, tied entirely to that event.
How is this different from attendance or foot-traffic estimates?
Attendance counts and geo-location foot-traffic estimates tell you roughly how many people came and where they came from. Fair visitor analytics tells you what happened while they were there: the what and why, not just the where. Yubigo measures direct, opt-in interactions rather than extrapolating from device tracking or small samples.
Do I need beacons, Wi-Fi sensors, or other hardware?
No. Yubigo needs no beacons, Wi-Fi sniffers, or door sensors. Analytics come from the QR-scanned map fairgoers open on their own phones, so there is no hardware to buy, power, place across the grounds, or maintain between seasons. That is why the same analytics work for a small county fair and a large state exposition alike.
Does collecting analytics mean tracking fairgoers?
No. Visitors choose to engage by scanning a QR code and opening the map, and nothing is measured outside your fair’s app. There is no account, no email required, and no background location tracking. Analytics come only from anonymous, in-experience interactions tied to your event.
When are analytics available?
Live, during the event, and in a full post-event report as soon as the fair wraps up. You can watch active visitors, trending searches, and engagement patterns in real time, then hand sponsors and your board a report without waiting days or weeks.
Who owns the visitor data?
The analytics are tied to your event and nothing else. They inform your fair's decisions and your sponsors' renewal conversations, not an aggregated pool shared across unrelated venues.
Ready to unearth the insights within your fairgrounds?
Start a ConversationSources
- Apple, “Use private Wi-Fi addresses on Apple devices,” on iPhone address randomization that limits passive Wi-Fi tracking. support.apple.com/en-us/102509
- Android Open Source Project, “MAC randomization behavior.” source.android.com
- Yang et al., “A BLE-Based Indoor Tracking System,” on how Bluetooth-beacon positioning is deployed and operated, Sensors (peer-reviewed). ncbi.nlm.nih.gov