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TTFB by rage clicks

TTFB by rage clicks without noise

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


What is TTFB by rage clicks

TTFB by rage clicks breakdown shows how Time to First Byte (TTFB) differs for sessions where users perform rage clicks compared to those without them.

A rage click happens when a user rapidly clicks multiple times on the same element within a short timeframe — usually out of frustration. This often signals that the page didn’t react quickly enough, or users thought their click wasn’t registered.

This breakdown helps you see whether slow server responses (high TTFB) are contributing to rage clicks. If the browser takes too long to receive the first byte and start rendering, users may assume the site is stuck and start clicking repeatedly.


TTFB by rage clicks sample


Should you worry

In a healthy view, TTFB values for rage click sessions look similar to non-rage click sessions. Rage clicks may still happen, but they’re usually caused by UX or frontend issues — not by slow server responses.

A healthy setup typically shows:

  • TTFB consistently under 800ms across all sessions.

  • Immediate server responses to requests.

  • Rage clicks rare and unrelated to performance.

If TTFB is stable, rage clicks are more about design or interaction expectations than backend speed.

Unhealthy TTFB by rage clicks

If rage click sessions consistently show higher TTFB values, slow server response times may be a hidden driver of frustration.

Common causes include:

  • Slow origin servers delaying the start of rendering.

  • Database or API bottlenecks blocking initial responses.

  • Poor CDN caching making users wait longer before the page paints.

  • Dynamic rendering creating server-side delays.

Here, high TTFB makes the page feel “frozen” and drives users into repeated clicks.

Resolving unhealthy TTFB by rage clicks

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

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

  2. Use Filters to compare rage click sessions by device, region, or traffic type.

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

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

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

Try it yourself

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