Dynamic QR code analytics can show the device, operating system, and browser associated with scans. This technical context sits alongside scan trends, country and city breakdowns, and peak scan times.
These fields help you see the general technical environment people use when scanning a code. For example, the device field can help distinguish scans made on different device types, while operating system and browser fields show the software context recorded for a scan.
That can be useful when you are checking whether a destination works as expected for the audience scanning it. If a campaign, menu, event sign, or printed handout receives scans from a mix of devices and browsers, the analytics provide a practical starting point for reviewing the experience across that mix.
Device and browser details are most useful when read alongside timing and location trends. Scan activity over time can show when attention rises or falls. Country and city breakdowns add geographic context, while peak hours can help identify when a printed placement is receiving the most engagement.
For a cleaner comparison, use separate dynamic QR codes for different placements. A code on a storefront poster, table card, event badge, or product insert can then be reviewed on its own rather than being combined into one scan total.
QRhubly states that it hashes every IP address and does not store raw IP addresses. Device, operating system, and browser fields provide scan context, not a person’s identity.
If you need to change a destination after printing and review scan activity, create a dynamic QR code. You can then use the analytics dashboard to review scans over time, location, peak hours, device, operating system, and browser.