What is LCP by user spending power
LCP by user spending power shows the Largest Contentful Paint (LCP) according to 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 ability to afford higher-end technology and internet access.
This doesn’t track actual purchases or personal data - instead, it uses anonymized and aggregated signals to approximate user capabilities based on their device and region.
Why it matters: Users with lower spending power often use older devices, slower networks, and outdated browsers - all of which can lead to slower page rendering and worse overall experience.
LCP is the most popular vital from the Core Web Vitals and represents the loading time of the largest element on the page.
Healthy LCP by user spending power sample
Should you worry
A healthy LCP by spending power lens shows green across all segments - especially for users in the mid to low brackets, since these groups are typically the most performance-sensitive.
If lower-tier users are experiencing fast load times, it’s a good sign your site is well-optimized for reach and inclusivity. That often correlates with lower bounce rates and higher satisfaction across the board.
Unhealthy LCP by user spending power
When you see slower LCP for low or mid-low segments, it usually means:
Your pages are too resource-heavy for older phones or entry-level hardware.
Critical content is blocked by JavaScript or third-party services.
You’re not optimizing for limited CPU power or bandwidth constraints.
There’s a lack of progressive enhancement or adaptive loading strategies.
And if high-spending users show poor LCP, the issue may lie in app complexity, overuse of third-party scripts, or unoptimized server performance.
It’s especially worth addressing because users in the low-spending segments may not give you many chances - long load times here can quickly translate to exits.
Resolving unhealthy LCP by user spending power
Go-to action plan to resolve an unhealthy LCP by user spending power:
Ask Uxi to analyze your LCP by user spending power values and suggest improvements.
Use Filters to isolate performance issues affecting those groups.
Simulate LCP of the suspected lens to see if fixing it will resolve the slow LCP by user spending power. If yes, this is where the resolution focus should be.
Use an automated LCP optimization tool like Navigation AI to improve your LCP by user spending power values.
Once you’ve improved LCP, set an alert to be the first to know if it starts worsening again.
Try it yourself
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