Analytics & Reporting

This section explains how BaseQR measures scan activity and how to combine those metrics with your analytics stack for attribution and outcomes analysis.

What this section covers

• Scan measurement — BaseQR records Total Scans per code and campaign, with views that break down activity by device, location, and time patterns.

• Campaign dashboard — Overview of campaign-level performance for quick monitoring.

• Attribution with UTMs — How to apply a consistent UTM pattern so GA4 reporting aligns with BaseQR scans.

• Conversion tracking — How to connect scans to downstream behavior in GA4 (and, if used, GTM on your site).

• Report exporting — How to export CSV, Excel, or PDF summaries for stakeholders.

Core concepts

• Total Scans — The primary metric in BaseQR. Counts every successful scan of a code. Use this for volume and trend analysis.

• Breakdowns — Analyze scans by device/OS, location, and time patterns to understand context and peak windows.

• UTM alignment — Apply a stable source/medium/campaign convention so BaseQR scan counts and GA4 sessions are comparable by campaign and channel.

• Complementary views — BaseQR shows scan activity; GA4 shows on-site behavior and conversions. Use both for a complete picture.

• Exports — Create shareable summaries for reviews and reporting in CSV, Excel, or PDF.

Recommended approach

• Plan first — Define your UTM convention and add it to the campaign description for team-wide consistency.

• Monitor routinely — Use the campaign dashboard for a quick read; drill into breakdowns to identify channel or timing issues.

• Validate attribution — Spot-check UTMs in final URLs and confirm GA4 Real-Time reflects the expected buckets.

• Share results — Export BaseQR reports and pair them with GA4 dashboards to communicate both scan volume and outcomes.