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CLS by rage clicks

CLS by rage clicks without noise

Vasil Dachev avatar
Written by Vasil Dachev
Updated over 2 months ago


What is CLS by rage clicks

CLS by rage clicks shows how Cumulative Layout Shift (CLS) differs for sessions where users perform rage clicks compared to sessions without them.

A rage click occurs when a user rapidly clicks multiple times on the same element within a short timeframe — usually out of frustration. This often means they expected something to happen, but either nothing responded or the page shifted unexpectedly.

This breakdown helps you determine if layout instability (high CLS) is a driver of rage-click behavior. If elements move after the page paints, users may end up clicking the wrong spot or thinking the site is broken.

CLS by rage clicks sample

In a healthy view, CLS values for rage click sessions look similar to non-rage click sessions. Rage clicks may still happen, but they’re likely due to UX issues (e.g., confusing design or misleading elements) rather than layout instability.

A healthy setup typically shows:

  • CLS consistently below 0.1 in both groups.

  • No visible layout shifts when interactive elements load.

  • Clear and predictable clickable areas.

If CLS remains stable, rage clicks are likely design-related, not performance-related.

Unhealthy CLS by rage clicks

If rage click sessions consistently show higher CLS values, layout shifts are frustrating users into clicking multiple times.

Common causes include:

  • Buttons or links shifting position as ads, images, or fonts load.

  • Forms or input fields moving right as users attempt to interact.

  • Dynamic elements (chat widgets, banners) pushing content around.

  • Late style or font swaps causing clickable text to jump.

In these cases, layout instability directly fuels frustration-driven rage clicks.

Resolving unhealthy CLS by rage clicks

Go-to action plan to resolve an unhealthy CLS by rage clicks:

  1. Ask Uxi to analyze your CLS by rage clicks values and suggest improvements

  2. Use Filters to compare rage click sessions by device, country, or traffic source.

  3. Simulate CLS of the suspected breakdown to see if fixing it will resolve the CLS by rage clicks. If yes, this is where the resolution focus should be.

  4. Use an automated CLS optimization tool like Navigation AI to improve your CLS by rage clicks values

  5. Once you’ve improved CLS, set an alert to be the first to know if it starts worsening again.

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