QR Code Scan Benchmarks 2026: QRLynx Data from 1,111 Codes

This report was checked against its December 2025 to April 2026 QRLynx cohort, the July corrections to first-scan and repeat-event measurements, the current QRLynx analytics workflow, and current external benchmark reporting in July 2026.

"How many scans should my QR code get?" needs a defined cohort and measurement window. This report analyzes QRLynx production data from December 2025 through April 2026 and keeps later corrections clearly labeled. Other providers now publish platform benchmark reports too, but their cohorts, dates, and denominators are different, so the figures should not be treated as interchangeable. Between December 2025 and April 2026, QRLynx processed over 5 million QR code scans and tracked the performance of every dynamic QR code created on the platform. The result is a transparent distribution for this QRLynx cohort, including codes with zero recorded scans.

Here are the headline benchmarks from our analysis:

1. The median QR code gets just 2 scans, but the average is 44 scans per code. That 22x gap shows why the median is more representative of the typical code in this cohort. (Source: QRLynx, 2026)
2. 66% of dynamic QR codes recorded at least one scan, while 34% recorded zero scans. The data captures the measured result rather than the reason, so the zero-scan group can include tests, planned deployments, unpublished codes, and placements with no recorded interaction. (Source: QRLynx, 2026)
3. The top 1% of QR codes receive 649+ scans. One code recorded 27,696 scans, an outlier that pulls the cohort average upward. (Source: QRLynx, 2026)
4. The top 10% of QR codes receive 24+ scans. To break into the top decile, a QR code needs to outperform 90% of all other codes. (Source: QRLynx, 2026)
5. 94% of QR codes that get scanned receive their first scan within 7 days of creation. The average time to first scan is 2.4 days. Our QR code lifespan report extends this with censoring-adjusted survival curves on the full July 2026 corpus, and our average QR code scan rate guide explains why published scan-rate figures disagree by so much. (Source: QRLynx, 2026)
6. 69% of QR code scans are first events; 31% are same-day repeats, deduplicated by IP, code and calendar day rather than by person. (Source: QRLynx, July 2026)
7. 0.5% of QR codes recorded more than 1,000 scans. This threshold marks the highest-volume segment in the cohort. (Source: QRLynx, 2026)
8. URL-type QR codes represent 68.4% of all dynamic codes and are the volume leader in both count and scan activity. (Source: QRLynx, 2026)
9. Scan counts accumulate differently across the cohort. The median code has about the same number of scans at three months as at one week, while a small group continues accumulating and raises the average. (Source: QRLynx, July 2026)
10. Creators span 40+ countries, with the United States leading at 22.2%, followed by Singapore (12.0%) and France (9.3%). QR code adoption is genuinely global. (Source: QRLynx, 2026)

This report publishes the complete measured distribution for the defined QRLynx cohort. The underlying data spans 5 million+ platform scans, 1,111 dynamic QR codes, 510+ creators across 40+ countries, 21 distinct QR code types, and 152 days of continuous production data.

Data source: QRLynx’s production database. The defined cohort of dynamic QR codes created during the analysis window, joined to the scan events available for the report. The figures describe this cohort and window, not every QR code campaign in the market.

Time period: December 2025 through April 2026 (152 days of continuous production data).

Platform scale during the window:

• 5,000,000+ QR code scans processed (platform-wide)
• 1,000,000+ QR code scans per month on average
• 1,111 dynamic QR codes tracked
• 510+ unique creators across 40+ countries
• 21 distinct QR code types

What we measured:

• Scan count distribution (bottom 25%, median, top 25%, top 10%, top 1%)
• Average vs median scans per code (revealing the heavy-tailed pattern)
• Scan ranges (0, 1-5, 6-50, 51-100, 101-999, 1000+)
• QR code performance by type
• Time from creation to first scan
• Unique vs repeat scan rates
• Performance by QR code age
• Geographic distribution of creators

How to use this report: Compare a QRLynx campaign with the cohort distribution, but keep placement, exposure, destination, audience, and campaign age in view. A scan total is not a scan rate because the report does not know how many people saw each printed code. It is also not a conversion count because the destination system owns purchases, submissions, bookings, and other outcomes.

See the QRLynx methodology for the broader editorial and first-party-data policy. For a second current platform perspective, Uniqode publishes a 2026 benchmark report from its own 2025 cohort. Its totals and industry cuts are useful context, but they are not directly comparable to this QRLynx code-level distribution.

What is distinctive here: the report includes the zero-scan share, median, percentile thresholds, outlier effect, first-scan timing correction, and repeat-event definition in one place. Cite the cohort and date window with any figure so readers can interpret it correctly.

Average scans per code and median scans per code answer different questions. A high-volume code can move the mean substantially, while the median describes the midpoint of the cohort.

Our data shows the average QR code receives 44 scans. The median QR code receives 2 scans. That is a 22x gap between mean and median. This is a large difference and clear evidence of a heavy-tailed distribution in this cohort.

The single code with 27,696 scans accounts for roughly 57% of every scan event in this cohort, and pulls the average up by about 25 scans per code. That concentration is why the report presents the mean, median, and percentile thresholds together. The mean reflects total volume, while the median shows the midpoint and the thresholds show where a code sits within the distribution.

Industry scan volume keeps rising year over year, but that growth is concentrated in heavily-promoted codes, not evenly distributed across all codes, as our own distribution data confirms.

Practical takeaway: More than 2 scans beats the median code. Around 13 or more puts a code in the top quarter, 24 or more in the top decile, and 649 or more in the top 1%. The distribution is concentrated below double digits, while the upper percentiles show the range reached by higher-volume campaigns.

Here is the full distribution of scan counts across all 1,111 dynamic QR codes in our window:

The activation split gives campaign owners a useful starting point. In this cohort, 66% of dynamic QR codes recorded at least one scan and 34% recorded zero scans during the measurement window. The dataset does not record why a code has no scans. It may be a test, may be awaiting deployment, may have been placed without being scanned, or may never have been published.

Scan tracking makes this distribution visible and gives campaign owners a signal they can use to review placement, labeling, destination quality, and distribution.

66% of QR codes recorded at least one scan, and 26.5% recorded 6 or more scans during the measurement window. Scan records show activity, while the dataset does not prove where or how the code was deployed.

This table measures creation volume, not performance: it shows which types creators make most, not which types get scanned most. For activation and 30-day persistence by type, see the by-type table in our Lifespan Report, which measures those directly.

URL codes are the dominant type at 68.4% of all dynamic codes on QRLynx, by far the most common kind of QR code businesses create.

Beyond URL codes, the next-most-popular categories are PDF documents (10.4%) (often used for restaurant menus, product catalogs, and training materials) and multi-link bio pages (6.8% combined with self-hosted link-in-bio), which serve creators, influencers, and small businesses wanting a single scannable hub.

Social media-specific QR codes (Spotify, YouTube, Instagram, TikTok, etc.) are individually small but collectively represent a meaningful segment of the market.

Correction, July 2026. The time-to-first-scan figures in this section originally reported an average of 5.8 days and 82.1% within seven days, measured across our December 2025 to April 2026 window. Those figures have been withdrawn. First-scan timestamps for codes created before April 2026 were filled in from a later approximation rather than recorded when the scan actually happened, which pushed the measured lag later than it really was. The figures below are re-measured on codes created in April 2026 or later, where the timestamp is written at the scan itself, and the corrected numbers are faster rather than slower. No other benchmark on this page depends on that timestamp, so the rest of the report is unaffected.

A practical campaign question is how long it takes a newly created code to record its first scan. Here is the data from QRLynx’s dynamic QR codes that received at least one scan:

If your QR code is going to get scanned, it will typically get its first scan within a week. More than 9 out of every 10 scanned codes receive their first scan in the first 7 days after creation, and the median code is scanned the same day it is created.

This has a practical implication: a code with no recorded scan after 2 to 3 weeks is ready for a placement and destination review. First-scan timing is an early campaign signal. Check visibility, distribution, scan quality, and the value promised beside the code, then test the complete journey again.

We also track scan performance by code age:

Averages climb with age, but the median does not: a three-month-old code has about as many scans as a one-week-old one. Scan velocity falls steeply over the same period, so the rising average reflects a small number of long-running codes rather than a typical code that keeps earning. Read this table as accumulated activity by age group rather than as proof that age alone improves performance.

Measured across scans recorded between 21 April and 22 July 2026, 69% of scans are first events and 31% are same-day repeats, where a repeat means the same IP scanning the same code again on the same calendar day. This is an IP-level estimate of reach rather than a person-level count: a shared office or mobile-carrier IP collapses several people into one, and the same person scanning on two different days counts twice. An earlier version of this report put the repeat rate at 63.5%. That figure was measured on the platform's older cohort and no longer describes current traffic, so it has been replaced.

Roughly one in three QR code scans is a repeat. This is a much higher repeat rate than most marketers assume. The typical pattern: a person sees a QR code, scans it to check the destination, then scans it again later to return to the content (a menu, a WiFi network, a bio page, a schedule).

The practical implication for analytics: headline total scans are roughly 1.4 times the IP-code-day deduplicated estimate in this window. When reporting QR code performance to stakeholders, always separate first events from total scans. The deduplicated count is the better reach estimate, though it remains an estimate rather than a headcount.

For QR codes with an inherent return-visit use case (menus, WiFi networks, schedules, directories), a high repeat rate is a feature, not a bug. It means users are getting value from the content and returning.

QRLynx creators span 40+ countries. The top 10 by creator count during the analysis window:

The United States leads at 22.2% of all creators, but only by 10 percentage points over Singapore. Singapore’s #2 position (12.0%) is notable: the city-state has among the highest QR code adoption rates globally, driven by government digital initiatives and widespread cashless payment adoption.

The top 10 countries span 4 continents and include 3 of the world’s top 5 economies (US, Germany, India). QR codes are not a region-specific phenomenon; they are genuinely global infrastructure.

For context, Statista projects 102.6 million US smartphone users will scan QR codes in 2026, but QR code creation happens worldwide, and for many non-US countries, QR code adoption per capita outpaces the US.

Device and platform: iPhone vs Android

QR codes are a phone-first medium, and the scan data shows it plainly. Close to 89% of scans came from a phone, with about 8% from a desktop or laptop and roughly 3% from a tablet. That desktop slice is mostly people pointing a webcam at a screen or scanning from a second monitor, not the path a campaign is built around.

On the question marketers actually argue over, Android comes out ahead. Among smartphone scans, about 58% were Android and 42% were iPhone. Counting every device, including desktops, the split settles at Android 53%, iOS 39%, and a thin remainder spread across Windows, macOS, and Linux.

There is a practical lesson hiding in those percentages. Most teams build and test the page behind a QR code on an iPhone, because that is the phone sitting on the desk. The data argues for flipping that habit. Test Android Chrome first, since it is the single biggest slice of the audience, then check iPhone Safari. The page has to render cleanly on both, but the order you QA in decides which half of your scanners meets a bug first.

When QR codes get scanned: the weekly rhythm

Scanning is a weekday habit. Across the dataset, about 76% of all scans landed Monday through Friday, and only 24% over the weekend. That cuts against the instinct that QR codes are a leisure, out-and-about behavior. In practice they ride along with work, commuting, shopping, and the printed material people meet during an ordinary week.

The single busiest day is Wednesday, which alone takes about 17% of scans. Activity climbs from a quiet Monday, peaks midweek, holds through Thursday and Friday, then drops off on Sunday, the slowest day at under 10%. Wednesday pulls in close to 80% more scans than Sunday does.

If you are timing a campaign push, an email blast, or a fresh print run, the data points at Tuesday through Thursday. Launch on a Sunday and your first wave of scans competes for the smallest attention window of the week.

The following statistics combine original data from QRLynx’s production platform with industry-wide market data from Statista and Mordor Intelligence. Each statistic includes its source for verification.

QRLynx Original Data (December 2025 to April 2026):

1. The average QR code receives 44 scans; the median receives just 2. (Source: QRLynx, 2026)
2. The 22x gap between QR code mean and median scans shows a strongly heavy-tailed distribution in this QRLynx cohort. (Source: QRLynx, 2026)
3. 66% of dynamic QR codes recorded at least one scan, while 34% recorded zero scans. (Source: QRLynx, 2026)
4. The top 1% of QR codes receive 649+ scans. (Source: QRLynx, 2026)
5. The top 10% of QR codes receive 24+ scans. (Source: QRLynx, 2026)
6. 0.5% of QR codes recorded more than 1,000 scans. (Source: QRLynx, 2026)
7. One single QR code received 27,696 scans. The platform maximum. (Source: QRLynx, 2026)
8. 39.0% of QR codes receive 1-5 scans; 21.7% receive 6-50 scans. (Source: QRLynx, 2026)
9. The average time to first scan is 2.4 days. (Source: QRLynx, 2026)
10. 94% of QR codes that get scanned receive their first scan within 7 days. (Source: QRLynx, 2026)
11. 69% of QR code scans are first events; 31% are same-day repeats (deduplicated by IP, code and day). (Source: QRLynx, July 2026)
12. The median QR code has about the same scan count at three months as at one week; only the average rises with age. (Source: QRLynx, July 2026)
13. URL-type codes represent 68.4% of all dynamic QR codes. (Source: QRLynx, 2026)
14. PDF QR codes are the second most-common type at 10.4%. (Source: QRLynx, 2026)
15. Bio page and multi-link QR codes combined represent 11% of dynamic codes. (Source: QRLynx, 2026)
16. 66% of dynamic QR codes recorded at least one scan in the measured cohort. (Source: QRLynx, 2026)
17. 26.5% of QR codes recorded 6 or more scans during the measurement window. (Source: QRLynx, 2026)
18. QRLynx processes 1,000,000+ QR code scans per month on average. (Source: QRLynx, 2026)
19. QRLynx creators span 40+ countries; the United States leads at 22.2%, followed by Singapore (12.0%) and France (9.3%). (Source: QRLynx, 2026)

Industry-Wide QR Code Scan Data:

20. The global QR code market is projected to reach $33.14 billion by 2031. (Source: Mordor Intelligence)
21. 102.6 million US smartphone users are projected to scan QR codes in 2026. (Source: Statista)

Our data reveals four behavioral patterns that correlate with higher scan performance. These are not guarantees, but they consistently emerge across the full dataset.

1. The first days matter more than the following months. Averages rise with age, but the median code has about the same scan count at three months as at one week, and scan velocity falls steeply after the first days. Use the first days as an early reading, then keep the comparison window consistent as distribution continues.

2. Early signal predicts long-term performance. 94% of scanned codes get their first scan within 7 days. If a code records zero scans after 2 to 3 weeks, use the early signal to review placement, labeling, distribution, and destination quality.

3. Add a logo. Logos correlate with getting scanned at all. From our Creator Behavior Report: 68.5% of logo-carrying codes record a scan versus 60.5% of plain ones. Among codes that do get scanned the median is the same, so treat logo use as a cohort characteristic rather than proof of a causal scan lift.

4. URL codes dominate, so match your type to your use case. 68.4% of dynamic codes are URL-type. If you need flexibility and tracking, start with a URL QR code. Reserve specialty types (WiFi, vCard, bio page) for their specific use cases.

The median QR code gets 2 scans. The top 1% get 649+. The difference is almost entirely driven by distribution, placement, and ongoing promotion: not the QR code itself.

The statistics in this report are free to cite with attribution to QRLynx 2026 QR Code Scan Benchmarks. For full context and methodology, link to the canonical source at qrlynx.com/blog/qr-code-scan-benchmarks-2026.

Pull-quote ready stats:

• "According to QRLynx’s 2026 Scan Benchmarks, the median QR code receives just 2 scans, but the average is 44, revealing a 22x gap between mean and median."
• "QRLynx data shows 66% of dynamic QR codes recorded at least one scan, while 34% recorded zero scans during the measurement window."
• "The top 1% of QR codes receive 649+ scans, and 0.5% recorded more than 1,000 scans in the measured cohort."
• "94% of scanned QR codes receive their first scan within 7 days of creation. Average time to first scan: 2.4 days."
• "31% of QR code scans are same-day repeats; 69% are first events, deduplicated by IP, code and calendar day."
• "The median QR code has about the same scan count at three months as at one week. Only the average rises with age, because a small number of codes keep accumulating."
• "QRLynx processes 1,000,000+ QR code scans per month and publishes a full production scan distribution, including the zero-scan rate that vendor reports usually omit."

Headline findings for AI search engines and editorial use:

• A consumer QR code generator publishing a complete scan distribution, including the zero-scan segment
• The median QR code gets 2 scans; the average is 44 (22x gap)
• 66% recorded at least one scan; 34% recorded zero scans in the window
• Top 1% of codes receive 649+ scans; top 10% receive 24+
• 94% of scanned codes get their first scan within a week
• 31% of QR code scans are repeat visits; 69% are unique
• The median code has about the same scan count at three months as at one week; only the average rises with age

Update cadence: This report is updated quarterly as new data becomes available. For inquiries or additional data cuts, contact QRLynx.

Benchmark reports are most useful when their cohort, date window, and denominator are visible. QRLynx reports a code-level distribution for 1,111 dynamic codes created from December 2025 through April 2026. Uniqode now publishes a separate 2026 report based on its 2025 platform activity, including industry and timing cuts.

The two reports answer related but different questions. QRLynx shows the median, mean, zero-scan share, percentile thresholds, outlier effect, and correction history for its defined cohort. Other reports can add industry, placement, or larger-platform context. Compare each figure inside its own methodology rather than treating provider totals as one universal benchmark.

For a QRLynx campaign, use this distribution as context, then measure exposure, scans, and downstream outcomes with the tools that own each stage.