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Core Web VitalsSeverity: Medium

CLS too high: Reduce layout shifts

Unexpected layout shifts disrupt users and weaken page experience.

Short version

Unexpected layout shifts disrupt users and weaken page experience performance errors should be prioritized according to the affected templates and user view. Not every technical warning is equally business critical.

The shifting element is not always the cause

If a heel jumps down, an image reloaded over it can be responsible without a reserved space. Therefore, observe the time of the shift and which elements appear immediately before it or change their size. Also reloaded fonts and hidden hints can move the layout.

Example: Recognizing the Result

Illustrative example: When loading an advertising space, the article slides downwards. The shifted text element is measured, but the missing space reservation is on the banner above it.

Limit cause and implement correction

Reserve the required space in the layout and test with slow network and empty cache. A fixed height must not cut off longer texts. In addition, control interactions and later loading phases; a quiet screenshot immediately after launch does not prove a stable page.

What makes you recognize a suitable correction

Track the layout shift recording up to the triggering element. Reserve space in advance and also test consent banners, fonts and reloaded content.

Classification and boundaries

When is this indication not a clear error?

A single laboratory measurement does not describe all user states. Classify targeted user interactions and late shifts separately.

Further documentation

web.dev: Optimizing CLS

CLS too high after CMS and cause

Many audit messages can be resolved faster if they are grouped by system, page type and technical cause. CMS indentations are only linked where CLS has a clearly own cause or fixed route in the respective system.

Frequent causes of this error

Related SEO Errors

Appropriate Seitenreport checks

This error should not be checked in isolation. The following tools and clusters help to narrow down the cause faster and to cleanly prioritize the affected URL groups.