ScanGuard helps you identify anomalies in your QR Code scan patterns, so you can separate suspicious or non-human scans from genuine user activity. The suspicious or non-human scans will be tagged as Anomalous Scans on your dashboard to help you easily identify and manage them.
By flagging anomalies, you can:
Filter out invalid scans from your reports
Analyze only authentic scan behavior
Get more accurate insights into your campaign performance
Prerequisites
A Uniqode account with Owner access
Available for Pro plan and above
How to enable anomaly detection?
Sign in to your Uniqode account.
Click your profile icon in the top-right corner and go to Account Settings.
Scroll to the ScanGuard section and toggle it ON.
Once enabled, ScanGuard will be active for you and your entire team.
Types of anomalies detected on ScanGuard
Currently, ScanGuard detects two types of anomalies:
Scan Spike from a Single IP → Flags sudden bursts of scans from the same IP address.
Automated Tool or Bot Scans → Identifies scans coming from bots or automated tools (non-human traffic).
VPN data centre scans → Detects scans originating from VPNs or data centre proxies, often masking true user activity.
How to check for anomalies for your QR Codes scans
After ScanGuard is enabled, anomalous scans will be automatically detected for all your QR Codes.
For aggregate analytics
Anomalous Scans for all your QR Codes will be displayed as a card and on the Scans chart on your Analytics Dashboard.
In the card for Anomalous Scans, you can click on View details to see which QR Codes and patterns contributed to the anomalies.
Click on the scan count to see details of the anomalies
To filter out anomalous scans from your analytics view, you can turn on the toggle for Hide Anomalies on the top right.
For individual QR Code analytics
You can also see anomalous scans for individual QR Codes in their respective analytics dashboard.
In the card for Anomalous Scans, you can click on View details to details of the anomalies
To filter out anomalous scans from your analytics view, you can turn on the toggle for Hide Anomalies on the top right.
Marking anomalies as expected
You can mark an anomaly as expected if they are legitimate (e.g., scans from your office network or during a big event) by clicking Mark as Expected to confirm that the scan pattern is not an anomaly and doesn't require further attention.
Comparing charts with previous period
Comparison charts aren’t available when anomalies are hidden. Disable Hide anomalies and check Compare with previous period to view comparison charts.
