How to conduct a qualitative analysis of quantitative changes
Posted: Tue Feb 18, 2025 4:36 am
Segment URLs into groups of shared code (e.g. category page, product page, product details page, article, etc.).
Analyze the URLs in each cluster using Google Page Speed Insights and WebPageTest.org. Be sure to log in when using WebPageTest.org; all of your test results will be saved.
We recommend using the CrUX API for your kuwait mobile database work. This makes it easier to obtain data at scale.
Now use these tools to analyze individual URLs and identify improvements that you can apply at scale, allowing you to make quantitative changes to hundreds or thousands of URLs at once.
The key result of this analysis is that you will find the “best opportunities” for improving URLs with the greatest growth potential (the most traffic and revenue opportunities).
Tips for analyzing URLs in Google Page Speed Insights
Confirm that the Core Web Vitals data reported is for the URL , not the origin. This is easily overlooked by less experienced SEOs and developers, causing them to evaluate origin data rather than URL data.
Determine which metrics need improvement and use filters to determine recommendations for metric improvement.
Use a treemap to identify unused code.
Analyze the URLs in each cluster using Google Page Speed Insights and WebPageTest.org. Be sure to log in when using WebPageTest.org; all of your test results will be saved.
We recommend using the CrUX API for your kuwait mobile database work. This makes it easier to obtain data at scale.
Now use these tools to analyze individual URLs and identify improvements that you can apply at scale, allowing you to make quantitative changes to hundreds or thousands of URLs at once.
The key result of this analysis is that you will find the “best opportunities” for improving URLs with the greatest growth potential (the most traffic and revenue opportunities).
Tips for analyzing URLs in Google Page Speed Insights
Confirm that the Core Web Vitals data reported is for the URL , not the origin. This is easily overlooked by less experienced SEOs and developers, causing them to evaluate origin data rather than URL data.
Determine which metrics need improvement and use filters to determine recommendations for metric improvement.
Use a treemap to identify unused code.