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QR Code Analytics - Using Scan Data for Marketing Strategy

Data You Can Collect from QR Codes

QR code scans generate valuable data. Dynamic QR code services provide scan counts, timestamps, device types, and approximate location data through their dashboards.

Even with static QR codes, adding UTM parameters to the destination URL lets you track traffic sources in analytics tools like Google Analytics. Assigning unique campaign parameters to each QR code reveals which media channels drive the most traffic.

Designing UTM Parameters

UTM parameters are the foundation for accurately measuring QR code traffic. Always set these three:

  • utm_source: Where the traffic originates (e.g., poster, flyer, business_card)
  • utm_medium: The medium type (e.g., qr_code)
  • utm_campaign: The campaign name (e.g., spring_2026_sale)

Consistent naming conventions are critical. Mixed capitalization, inconsistent spacing, or varying abbreviations fragment your data. Document naming rules and ensure everyone follows them.

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Running A/B Tests

A/B testing maximizes QR code effectiveness. Create two versions with different designs, placements, or CTA text, then compare scan rates.

Change only one variable at a time. Altering both design and placement simultaneously makes it impossible to determine which factor affected results. Collect sufficient samples (at least 100 scans per variant) before drawing conclusions.

Apply findings to future campaigns for continuous improvement.

Measuring ROI

To measure QR code marketing ROI, track conversions beyond just scan counts. Monitor whether users who land on your page via QR code complete target actions like purchases or inquiries.

Calculate conversion rate as conversions divided by scans times 100. Compare against industry benchmarks to objectively evaluate campaign performance.

Compute ROI by comparing total costs (printing, QR service fees, production) against revenue generated from conversions.

Related: See also our guide on QR code business uses.

Data Usage Considerations

When leveraging QR code analytics, privacy compliance is essential. Disclose location and device data collection in your privacy policy and obtain user consent where required.

Be careful interpreting data. High scan counts do not necessarily mean campaign success. Evaluate multiple metrics including conversion rate, average order value, and repeat rate for a comprehensive assessment.