Understanding Core Web Vitals is crucial for optimizing your site's performance and enhancing user experience. In this article, we will explore how to measure and analyze Core Web Vitals using Ezoic's Big Data Analytics. You'll learn how to quickly assess your site's vital metrics and identify areas for improvement. By leveraging these tools, you can gain comprehensive insights into your site's performance and make informed decisions to optimize your site effectively.

Ezoic's Big Data Analytics offer comprehensive tools to measure and analyze Core Web Vitals, providing valuable insights into your site's performance. Core Web Vitals Reports

Accessible through the Analytics tab in the Ezoic dashboard, Ezoic's Big Data Analytics offers an in-depth view of Core Web Vitals. The speed tab under Big DataAnalytics includes subcategories, with the Core Web Vitals section being the most relevant. It provides detailed insights, such as the impact of caching on site speed and user behavior metrics like Bounce Rate by Load Speed. A report on the slowest pages helps pinpoint specific issues slowing your site.

When viewing Core Web Vitals in Big Data Analytics, you can select between the three main vitals and adjust the date range to analyze the impact of any changes made. The report can be filtered by user segments, such as mobile or desktop traffic, and you must click "Run Report" to update the data. Below the graph, a table lists all site pages, sortable by each vital to identify the worst-performing pages.

Big Data Analytics thus offers a customizable, detailed overview of your Core Web Vitals, enabling you to make data-driven decisions to optimize your site's performance.

When optimizing your website's Core Web Vitals, consider the following best practices and tips:

1. Target Worst Pages:
   • Prioritize improvements on the worst-performing pages. Utilize Google Search Console to identify which pages need the most attention. Focus on pages with high traffic but poor Core Web Vitals scores.
     
     
2. Big Data Analytics:
   • Leverage Big Data Analytics for a deeper dive into your Core Web Vitals data. Use the speed tab and explore subcategories to understand factors impacting site speed, such as caching and bounce rates by load speed.
     
     
3. User Segmentation:
   • Segment your data by user type, such as mobile or desktop traffic, to understand how different user groups are experiencing your site. This can help you tailor optimizations to specific user needs.
     
     
4. Cache Optimization:
   • Ensure a high cache hit rate as low caching performance can decrease Core Web Vitals scores. Regularly review caching strategies and adjust settings to maintain optimal performance.
     
     
5. Field vs. Lab Data:
   • Be aware that your scores might revert to Lab data if there's insufficient field data. Pay attention to the data source to understand the context of your scores accurately.
     
     
6. User Experience:
   • Aim for at least 75% of your users to have fast Core Web Vitals scores. While it's challenging to achieve 100%, focusing on the majority can significantly improve overall user experience.

By following these best practices, you'll be better equipped to maintain and improve your website's Core Web Vitals, leading to a faster, more user-friendly site.