Analytics - Main Features Overview
QR Analytics Workflow
QR Analytics helps users understand how QR campaigns perform after scans begin. It supports both global analytics across campaigns and campaign-specific analytics.
Reporting Range
Users can select a date range to compare campaign performance across days, weeks, launches, or promotions.
Core Metrics
- Total Scans: all scans in the selected range.
- Today: scans received today.
- Unique Visitors: unique IP count where available.
- Active QR Codes: campaigns currently active.
- Average Daily Scans: average scan volume per day.
- Peak Day: highest scan day in the selected range.
Charts and Breakdowns
Scan Trend
Shows daily scan activity. Useful for spotting launch spikes, campaign decay, and seasonal behavior.
Hourly Activity
Shows which hours produce the most scans. Useful for restaurants, events, and retail campaigns.
Top QR Campaigns
Ranks campaigns by scan count so users can identify the best-performing assets.
Type Breakdown
Shows performance by QR type, such as Dynamic URL, Bio Links, Restaurant Menu, or Product Catalogue.
Traffic Source
Groups scans by referer/source where available. Helps compare direct, social, email, partner, and printed usage.
Geography
Country and city breakdowns help users understand where scans are happening.
Device and Browser
Device, browser, OS, brand, and language breakdowns help optimize mobile pages and campaign targeting.
Domain, UTM, and Pixel Reports
Shows which custom domains, UTM presets, and tracking pixels are associated with scan activity.
Link Bio Analytics
Bio analytics focuses on page views, item clicks, and block-level performance. It helps users improve page layout and CTA priority.
How to Improve Campaigns
- High scans but low clicks means the landing page needs a stronger CTA.
- High mobile traffic means mobile layout matters more than desktop layout.
- High scan volume from one city can justify localized offers.
- Low scans from printed material may mean the QR placement or CTA text is weak.