Clarity's filtering system transforms raw session data into targeted insights. Instead of watching random recordings, filter to the exact sessions that answer your specific questions about user behavior.
Available Filter Categories
Clarity provides filters across multiple dimensions: traffic source (referrer, UTM parameters), user attributes (device, browser, country), behavior signals (rage clicks, dead clicks, quick-backs), and page-level filters (specific URLs, page groups). Combine multiple filters to create precise segments.
Campaign-Specific Segments
Create saved segments for each traffic source: Google Ads visitors, Meta Ads visitors, organic search visitors. Compare click and scroll maps across these segments to understand how different audiences interact with your landing pages differently.
Filtering for Frustration Signals
Clarity's frustration filters are uniquely valuable. Filter for sessions containing rage clicks (rapid repeated clicks indicating frustration), dead clicks (clicks on non-interactive elements), and excessive scrolling. These sessions reveal the UX issues causing your diagnose UX friction.
Device and Browser Segmentation
Performance often varies dramatically between mobile and desktop. Create device-specific segments to analyze each experience separately. Look for browser-specific issues that might affect conversion rates - an issue in Chrome mobile could silently tank your paid traffic ROI.
Building Reusable Segment Templates
Save your most-used filter combinations as named segments. Essential templates include: "High-value bounced visitors" (bounced + referrer = paid), "Frustrated mobile users" (mobile + rage clicks), and "Conversion path analysis" (completed purchase event). Share these with your team for consistent analysis.
How Xplainr Helps
Xplainr automatically segments Clarity data by campaign source and correlates frustration signals with conversion metrics, highlighting where UX improvements will have the biggest revenue impact.
Connect Behavior Analytics to Your Marketing Data
Correlate user behavior with campaign performance
Advanced Filtering Techniques
Combine URL path filters with UTM parameters to analyze specific landing page + campaign combinations. Use date range filters alongside behavior filters to track whether UX changes actually reduced frustration over time.
- UTM-Filtered Analysis
Apply filters for campaign-specific behavior analysis.
- Data Governance
Standardize filter definitions across your team.