➡️ For more information about how Buttonizer is compliant with the EU GDPR, check out this page 🚀
Since Buttonizer 3.0, we have integrated button click analytics. In this article we show you how we collect this data anonymously and how you can read them.
Privacy friendly tracking (GDPR)
We wanted to build something that does the job right, without violating the privacy of your visitor and complying to the GDPR. Therefore, we have chosen to minimalize the data that is being tracked so it's enough for you to see what happens and articipate.
The following information will be collected:
- When was the button clicked
- On what page the button was clicked (URL)
- How long a visitor was on the page before clicking the button
- The country of the visitor (using Cloudflare information)
- The device type of the visitor (desktop, tablet or phone)
No other visitor or personal data is tracked or stored (we don't collect IP addresses or session data).
How to read these analytics?
In this section we'll learn you how you read the analytics.
Line graph
One of our analytics is the line graph. This will draw a line for all buttons that were clicked. In the legenda, you'll find them all separated with the following name attribution: [Group name]: [Button name]. If you change the name of one of these items in the editor, it will automatically change in your analytics.
When you have a menu, the clicks of this button will be visible as Menu button (this cannot be changed).
Example situation
The group name is Main menu and the button that was clicked has the name Home page.
The button click will be visible as Main menu: Home page.
Graph axis
In the analytics, we have two axis we're using.
The X-axis (which goes from the left ⬅️ to ➡️ right) shows the dates. If you selected analytics from a specific of day, it shows you the time instead of the date.
The Y-axis (which goes from the bottom ⬇️ to ⬆️ up) shows you the amount of clicks that day/hour for a button.
Example line graph
These example analytics are from our own Buttonizer Community.
Devices & Countries
Using py-charts, we show information like device types and countries.
