In-depth analysis and research on QR code technology
Comprehensive guides and tutorials for research.
Industry-specific QR code scan rate benchmarks covering retail, hospitality, events, healthcare, and print advertising, with context on what affects performance.
Data-backed benchmarks for QR code post-scan conversion rates across common action types — form fills, purchases, app installs, and contact saves — with factors that move the needle.
Data-backed findings on which QR code design and placement variables produce statistically significant differences in scan rates, based on aggregated A/B test results.
Data-driven breakdown of when QR codes get scanned by time of day, day of week, and season — and how to use timing insights to plan campaigns that reach audiences at peak engagement moments.
Data-driven benchmarks showing how QR code scan activity changes across a campaign's lifespan — from launch spike through long-tail decay — with expected decay curves by placement type.
Data on how physical placement—surface type, height, and interaction context—affects QR code scan rates across retail, hospitality, events, and print.
Data-backed benchmarks on QR code scanning across iOS and Android, how users scan on each platform, and what the device split means for landing page design and analytics.
Data-backed specifications for QR code sizing across print formats: minimum dimensions, scan distance rules, resolution requirements, and how size affects scan rates.
A Linkbreakers scan answers in a median of 65ms of server time while it runs a full workflow: conditions, bot and AI agent detection, visitor recognition, traces and webhooks. Here is how we measure it, why it is fast, and how it compares with link shorteners and QR code tools.
