What is CLS by user spending power
CLS by user spending power shows Cumulative Layout Shift (CLS) performance based on a predictive model of user purchasing power. This model combines indicators like device type, hardware tier, price segment, and country of origin to estimate a user’s access to high-end technology and faster connections.
This doesn’t track personal data or purchases. Instead, it uses anonymized and aggregated signals to approximate user capability based on region and device.
Users with lower spending power often rely on older phones, slower networks, and outdated browsers — all of which are more vulnerable to layout instability. Even minor layout shifts can lead to poor experience on limited hardware, where screen real estate and CPU power are precious.
CLS is a Core Web Vital that reflects visual stability. Reducing shifts is key to accessibility, trust, and reducing bounce rates.
Healthy CLS by user spending power sample
A healthy view shows green across all segments — especially among mid to low tiers, where layout stability has the biggest UX impact.
If lower-tier users are seeing minimal layout shift, it means your site is inclusive and accessible to everyone — not just those with flagship devices. That stability often translates to better engagement and retention.
Unhealthy CLS by user spending power sample
If you’re seeing higher CLS for low or mid-low groups, it usually points to:
Late-loading content pushing visible elements.
Sticky elements or carousels shifting layout on underpowered devices.
Images or ads without fixed dimensions.
Unoptimized rendering for small screens or slower CPUs.
If high-spending users are impacted, it may indicate a complexity issue — such as bloated JS bundles or dynamic personalization shifting layout during render.
Lower-spending users tend to be less forgiving. If layout shifts are frequent, they’ll bounce — hurting conversions and brand perception.
Resolving unhealthy CLS by user spending power
Go-to action plan to resolve an unhealthy CLS by user spending power:
Ask Uxi to analyze your CLS by user spending power values and suggest improvements
Use Filters o narrow down the layouts or devices causing visual instability.
Simulate CLS of the suspected lens to see if fixing it will resolve the CLS by user spending power. If yes, this is where the resolution focus should be.
Use an automated CLS optimization tool like Navigation AI to improve your CLS by user spending power values
Once you’ve improved CLS, set an alert to be the first to know if it starts worsening again.
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