QR Code 분석: 추적 가능한 데이터
Scan analytics deep dive: total scans, unique scans, location, device, time, referrer, and conversion funnel tracking.
QR Code Analytics: What You Can Track
Dynamic QR code analytics provide visibility into how, when, where, and by whom your QR codes are scanned.
Standard Metrics
| Metric | Description | Source |
|---|---|---|
| Total scans | All scans across all time | Server logs |
| Unique scans | Deduplicated by device/cookie | Server + cookies |
| Scans over time | Time-series trend | Server timestamps |
| Device type | Smartphone model/category | User-Agent header |
| Operating system | iOS, Android, other | User-Agent header |
| Browser | Safari, Chrome, Samsung Internet | User-Agent header |
| Location (city) | Approximate scan location | IP geolocation |
| Country | Scanner's country | IP geolocation |
| Referrer | How the scanner reached the URL | HTTP Referer header |
Advanced Analytics
Conversion tracking: Track actions after the scan — page views, form submissions, purchases. Requires integration with web analytics (Google Analytics via UTM parameters) or the QR platform's pixel/SDK.
Scan-to-conversion funnel: Visualise drop-off at each step: scan → page view → engagement → conversion.
Heatmaps: Geographic visualisation of scan density. Useful for retail location analysis and outdoor advertising performance.
Time-of-day patterns: Identify peak scanning hours and days. Useful for optimising content updates and campaign timing.
Privacy Considerations
Analytics data collection must comply with privacy regulations:
- IP addresses are personal data under GDPR
- Location tracking requires transparency in privacy policy
- Cookie-based unique scan tracking may require consent
- Consider privacy-friendly alternatives (aggregate counts, no cookies)
Interpreting the Data
Low scan rate: QR code is too small, lacks a CTA, or is poorly placed.
High scan, low conversion: Landing page is not compelling or not mobile-optimised.
Geographic concentration: Most scans from one location — indicates effective placement there and poor awareness elsewhere.
Device skew: 90%+ iOS might indicate a premium audience; high Android could indicate price-sensitive or international audience.
Key Takeaways
- Standard metrics: scans, unique scans, device, location, time
- Conversion tracking requires UTM integration or platform SDK
- Geographic heatmaps reveal which placements drive the most engagement
- Privacy compliance applies to all scan analytics data
- Low scan rates usually indicate design or placement issues, not content