Based on a paid-hub sub-sample of live venues, median wait times are about 8.2 minutes at events and activations, 24.1 minutes at barbershops, 36.6 minutes at restaurants, and longer at clinics. Wait time is measured from the moment a customer scans the QR code to the moment they are called.
Updated monthly. Last updated May 2026
2026 Queue Management Statistics
150 venues. 4,239 customer journeys. 36 countries.
First-party queue data from live ScanQueue venues. Real wait times, no-show and abandonment rates, and notification-channel benchmarks. Not survey estimates.
Headline figures cover every hub that has ever queued on ScanQueue. Industry-level wait times and notification benchmarks are drawn from a paid-hub sub-sample of 32 venues / 3,742 journeys for higher data reliability. See methodology.
150
venues measured
4,239
customer journeys
73.3%
served (paid sample)
26.7%
didn't complete (paid sample)
What the 2026 queue data shows
This report summarises real queue activity from 150 live ScanQueue venues across 36 countries. Every figure is first-party operational data, measured from the moment a customer scans a QR code to join a line through to the moment they are served or leave. Unlike survey-based estimates, these benchmarks come from live queues across hospitality, events, healthcare and personal-care businesses.
Across the paid-hub sub-sample, 73.3% of customers who joined a queue were served, while 26.7% did not complete their visit. That abandonment rate is the figure most operators underestimate. The longer a wait stretches without visible progress, the more likely a customer is to give up and leave. Decades of queueing theory show that perceived waiting, not only the minutes actually elapsed, drives that decision, which is why live position updates matter as much as raw speed.
The sections below break the data down three ways: by industry, by notification channel, and by the behavioural patterns that separate venues with low walkaway rates from the rest. Each figure carries its sample size so you can judge how widely it generalises.
Key definitions
- Wait time
- The minutes between a customer joining the queue (the QR scan) and being called for service. Reported as a median so a few unusually long waits do not distort the typical experience.
- Serve rate
- The share of customers who joined and were then marked as served. A high serve rate signals a queue that holds customers all the way through to service rather than losing them mid-wait.
- Cancellation and abandonment
- The share of customers who left the queue before being served, whether they cancelled themselves or their entry expired. It is the inverse signal of serve rate and the clearest measure of lost demand.
- Representative sample
- Figures reflect active venues that have completed at least one paid billing cycle, including venues that have since changed plans. They are not ScanQueue's full customer base.
Average wait times by industry
Wait times vary widely by industry because the underlying service models differ. A barbershop occupies a chair for 20 to 30 minutes per client, so its median wait of 24.1 minutes reflects genuine queueing for a seat. Events and activations are built for throughput, and their 8.2-minute median shows how high-volume venues call guests in fast, predictable batches. Clinics sit at the opposite end, where a longer 96.8-minute wait reflects appointment-driven scheduling rather than walk-in flow. The table below shows the median wait from QR scan to being called, with the sample size for each vertical.
| Industry | Venues | Check-ins | Median wait | Served | Cancelled |
|---|---|---|---|---|---|
| Events & activations | 14 | 4,259 | 8.2 min | 76.9% | 18.5% |
| Barbershops | 8 | 1,280 | 24.1 min | 83% | 12% |
| Restaurants | 5 | 1,000 | 36.6 min | 63.2% | 35.7% |
| Clinics & healthcareearly sample | 4 | 339 | 96.8 min | 81.1% | 6.2% |
Service time is excluded: it measures different things across industries (a haircut versus a table seating versus an instant check-in) and is not comparable.
How customers get notified: WhatsApp vs SMS
Across 6,600 queue notifications sent in the last 90 days.
WhatsApp 69.3%SMS 30.7%
WhatsApp now carries more than two-thirds of queue notifications, overtaking SMS as the default channel for live wait-time updates.
60.1%
WhatsApp messages read (confirmed)
85.5%
SMS delivered
Channel choice has shifted decisively toward WhatsApp, which now carries 69.3% of queue notifications against 30.7% for SMS. WhatsApp also returns a confirmed read signal that SMS cannot provide: 60.1% of WhatsApp messages were verifiably read, whereas SMS reporting stops at delivery (85.5% delivered). For venues, the practical takeaway is that WhatsApp gives staff richer feedback on whether a called customer has actually seen the alert, which reduces the guesswork of holding a spot open.
What the data tells operators
Three patterns stand out across the dataset, and each points to a specific lever operators can pull to reduce walkaways and protect revenue.
35.7%
of restaurant guests cancel before being seated
The highest abandonment of any vertical. Real-time position updates are how venues claw this back.
8.2 min
median wait at events & activations
High-throughput venues keep waits low by calling guests in fast, predictable batches.
83%
of barbershop customers stay to be served
The most patient audience: the lowest cancellation rate across all industries measured.
Methodology
Two cuts are reported. The headline figures (150 venues, 4,239 journeys, 36 countries) cover every hub (parent business) that has ever queued on ScanQueue, including hubs that have since cancelled. Industry-level wait times and notification benchmarks are computed on a paid-hub sub-sample (32 venues, 3,742 journeys) where the data quality is higher: these venues have completed at least one paid billing cycle. Wait time is the median minutes from QR scan to being called. Serve, cancel and no-show rates are share of total check-ins. Sample sizes are shown per industry; verticals with fewer than five venues are labelled as early samples and excluded from headline claims. No individual business or customer is identifiable. Data refreshes monthly. You are welcome to cite these figures with attribution to ScanQueue and a link to this page (CC BY 4.0).
Get next month's data
We refresh these benchmarks every month. Drop your email and we'll send you the new figures the day they go live. No marketing emails, just the report.
Press inquiries / custom data cuts: hello@scanqueue.com. Happy to provide raw figures, custom verticals, or commentary.
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Across the paid-hub sub-sample, 26.7% of customers did not complete their visit (they cancelled, the entry expired, or they were a no-show). Restaurants see the highest abandonment at 35.7% cancellation, while barbershops see the lowest. Real-time position updates are the main lever venues use to reduce this.
WhatsApp now carries 69.3% of queue notifications versus 30.7% for SMS. WhatsApp messages had a confirmed read rate of 60.1%, and SMS had an 85.5% delivery rate. WhatsApp has become the default channel for live wait-time updates.
Figures are aggregated and anonymised from active ScanQueue venues that have completed at least one paid billing cycle, including venues that have since changed plans. No individual business or customer is identifiable. Sample sizes are shown per industry, and verticals with fewer than five venues are labelled as early samples.
These benchmarks are refreshed monthly. The current figures were last updated in May 2026.