What is INP by user spending power
INP by user spending power shows the Interaction to Next Paint (INP) across segments based on a predictive model of user purchasing power. This model uses aggregated signals like device class, hardware tier, browser version, and country of origin to estimate a user’s tech capabilities and access quality.
This lens does not track purchases or personal data. Instead, it uses anonymized indicators to help you understand how well your site responds across economic and hardware diversity.
Why it matters: Users with lower spending power often experience longer interaction delays due to limited CPU, older browsers, or network instability. INP reflects how quickly your page responds to clicks, taps, and keyboard input — a key factor in perceived smoothness.
Healthy INP by user spending power sample
Should you worry
A healthy view shows green INP values even for users with low or mid-low spending power.
This suggests your site is responsive regardless of device quality — which leads to better accessibility, higher satisfaction, and broader market reach. Responsive experiences build trust across all segments, not just those with high-end devices.
Unhealthy INP by user spending power sample
When INP is slower for low- or mid-spending users, it usually means:
Your interface requires too much CPU to respond quickly.
Third-party scripts or animations are blocking interactivity.
You’re not adapting your JS and rendering flow for weaker devices.
Mobile-specific interactions (e.g. sticky menus, toggles) are poorly optimized.
And if high-spending users are affected too, it might be due to complex logic or script-heavy components hurting responsiveness universally.
Slow INP in these groups doesn’t just frustrate users — it increases exit risk before they can even take action.
Resolving unhealthy INP by user spending power
Go-to action plan to resolve an unhealthy INP by user spending power:
Ask Uxi to analyze your INP by user spending power values and suggest improvements.
Use Filters to isolate where responsiveness lags (e.g., low-tier Android, certain countries).
Simulate INP of the suspected lens to see if fixing it will resolve the INP by user spending power. If yes, this is where the resolution focus should be.
Use an automated INP optimization tool like INProve to improve your INP by user spending power values.
Once you’ve improved INP, set an alert to be the first to know if it starts worsening again.
Try it yourself
Discover how your website performs with real user data.