Scans, Clicks &
Geo Attribution:
Where Your Contacts Are Coming From
TextingOnly captures a scan-level proximity signal (nearest cell tower or WiFi area — not GPS or device location) and timestamp for each QR code scan and SmartLink click. Approximate city and region are derived from the proximity signal. The Scans & Clicks report shows this data as a sortable table and a proximity map, giving you a picture of where your audience interacts with your entry points by approximate area.
Go to Reports → Scans & Clicks. The report shows two panels side by side — QR Code Scans (left) and Mobile Link Clicks (right) — each with a total count, a sortable data table, and a shared geographic map below.
QR Scans vs Mobile Link Clicks — What Each Represents
Reading the Data Table
Each panel shows a paginated table with Date, City, and Region for every event. The table is sortable by any column and filterable by city or region using the search fields. Key reads:
Cities that appear repeatedly in the data are your active markets. A city appearing 50 times in the QR scan table vs 3 times for another city tells you where your physical entry points are generating the most response.
Scan and click volume by date shows which campaigns, mailer drops, or social posts drove activity spikes. Sort by date to see which days generated the most entry point activity.
Contacts from cities you don’t serve appearing in the click data indicate organic discovery — someone found your SmartLink through social, search, or word of mouth from outside your target market.
High click volume relative to scan volume = your digital entry points (website, social, email) are outperforming print. High scan volume = your QR physical deployment is working. Use the ratio to guide channel investment.
The Geographic Map
Below the data tables, a proximity map plots scan and click events by approximate area (derived from cell-tower / WiFi proximity, not device GPS). Dense clusters indicate where your strongest scan and click volume is concentrated. Isolated points in unexpected areas often indicate organic discovery rather than placement reach.
If your map shows dense activity in Baltimore and Annapolis but almost nothing in DC despite running DC campaigns, that’s an entry point distribution problem — not an audience problem. Add more SmartLink placements in DC channels (Google Business, local Instagram, direct mail QR) and watch the map fill in.
Attribution Per Collector and Per QR Code
The Scans & Clicks report shows aggregate data across all entry points. For per-collector or per-QR-code attribution, go to the specific collector’s Options & Details — each collector tracks its own scan and click volume independently. This is how you compare performance between specific placements:
Why QR-to-SMS scan-level attribution closes the loop that QR-to-web can’t — and what the scan proximity data tells you that GA4 doesn’t.
Read the Insight →How to connect geo scan data to upstream campaign sources — UTM parameters, GCLID, and SmartLink naming conventions for Google and Meta attribution.
Read the KB Article →How multi-location businesses use per-collector geo data to compare location performance and optimize QR code placement per site.
Read the KB Article →