Clicked Element Filters
Last updated
Last updated
Clicked Element Filters allow you to analyze user behavior by filtering session data based on specific elements on your website or application.
By applying this filter, you can:
Understand user intent: Gain insights into why users click or do not click certain elements and understand their navigation patterns.
Troubleshoot issues: Identify broken or unresponsive elements that users frequently attempt to interact with.
Perform A/B testing: Compare the number of users that clicked on a button vs another to understand what works better with your users and make design decisions accordingly
You can use the text of a clicked element or its ID or CSS selector to filter the data.
Select "Clicked Element Text" from the filters
Select the operator as per your requirement
Specify the element/ select the element from Dropdown
Input the unique identifier of the element (e.g., button text, link text...).
Additionally, you can add a URL filter (Optional)
If not specified all pages where the particular element was clicked, are considered.
Monitor clicks on specific call-to-action buttons.
Analyze interactions with navigation menus.
Track clicks on promotional banners or key features.
CSS Selector Filter provides an alternate way to filter click interactions based on CSS selectors or click element IDs. This is particularly useful when targeting elements dynamically or when identifiers are not unique.
Select "Clicked Element Text" from the filters
Select the operator as per your requirement
Select the CSS selector from the dropdown. Preferably do a "contains" on the element ID because the CSS selector that Zipy captures in real time might vary from what appears on your live site.
Additionally, you can add a URL filter (Optional)
If not specified allwhere the CSS Selector element was clicked, are considered. pages
Debugging issues with dynamic elements.
Analyzing interactions on elements styled with specific classes or IDs.
Use Specific Selectors: Narrow down your focus by providing unique identifiers or detailed selector patterns to avoid noise in your data.
Combine Filters: Pair Clicked Element or CSS Selector filters with other session filters like user details, location, or device for deeper insights.