Guides 7 min read

QR Code Analytics: Track Scans, Measure ROI, and Optimize Campaigns

Complete guide to QR code analytics. Track scan volume, device breakdown, location data, time patterns, and conversion rates.

You can't optimize what you can't measure. QR code analytics give you visibility into who's scanning, when, where, and on what device.

What You Can Track

Scan Volume & Trends: Monitor total scans over time. Identify spikes from campaigns, seasonal trends, or events.

Device & OS Breakdown: See the split between mobile, tablet, and desktop. Know whether your audience is iOS or Android dominant.

Geographic Data: With IP geolocation, every scan includes city, state, and country data.

Time Patterns: Discover when your QR codes get the most engagement.

Returning vs. New Visitors: Track repeat scan rates to understand loyalty.

Fetching Analytics via API

curl https://api.scanstack.dev/v2/qr/:id/scans \
  -H "x-api-key: qr_your_key"

A/B Test Conversion Tracking

When running A/B tests, track conversion rates per variant. Auto-optimize mode uses this data to automatically shift traffic to the winner.

Building a Real-Time Pipeline

Use scan webhooks to pipe every scan event into your analytics stack:

  • Google BigQuery for large-scale analysis
  • Mixpanel or Amplitude for product analytics
  • Google Sheets for lightweight reporting
  • Custom dashboards built on your own database

Measuring Campaign ROI

  1. Track scans per QR code (ScanStack analytics)
  2. Track conversions on your landing page (your analytics tool)
  3. Attribute revenue to the QR source using UTM parameters or webhook data
  4. Calculate: ROI = (Revenue from QR scans - Campaign cost) / Campaign cost