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 Leap and Big Data Analytics. You'll learn how to quickly assess your site's vital metrics, delve deeper into detailed reports, 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.

The Ezoic dashboard and Big Data Analytics offer comprehensive tools to measure and analyze Core Web Vitals, providing valuable insights into your site's performance. The primary areas to explore for Core Web Vitals are the Leap section within the Ezoic dashboard and the Big Data Analytics reports.

Ezoic Dashboard > Leap > Measure

The Leap Measure tab gives a quick overview of your Core Web Vitals scores, including Largest Contentful Paint (LCP), First Input Delay (FID), and Cumulative Layout Shift (CLS). These scores are displayed out of 100 and come with a simple line graph showing the rolling 30-day average. This average is derived from Google's CRUX data, and if insufficient field data is available, lab data will be used. Note that this average can be skewed by a single bad result, so it's essential to check if any anomalies are affecting the average score.

Leap Measure > My Scores

In the Leap dashboard, the My Scores tab provides a more detailed breakdown of each Core Web Vital metric, again showing the rolling 30-day average. This section indicates the percentage of users receiving Fast, Moderate, and Slow scores. The goal is to achieve a 75%+ Fast score for your users. For detailed day-by-day scores, you can refer to Big Data Analytics.

Leap > My Scores > Worst Pages

The Worst Pages report in the Leap section helps identify pages that need improvement. The report is based on a rolling average over a selectable date range, and adjusting this range can show improvements over time. Additionally, this tool allows you to see pageviews, helping you target high-traffic pages with poor vitals for optimization.

Big Data Analytics Core Web Vitals Reports

Accessible through the Analytics tab in the Ezoic dashboard, Big Data Analytics offers an in-depth view of Core Web Vitals. The speed tab under Big Data Analytics 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. Regular Monitoring:
   • Use the Ezoic Dashboard to regularly monitor your Core Web Vitals. Check the Leap Measure tab for a quick overview and use the detailed reports to track the 30-day rolling averages of LCP, FID, and CLS.
2. Target Worst Pages:
   • Prioritize improvements on the worst-performing pages. Utilize the Worst Pages report in the Leap dashboard to identify which pages need the most attention. Focus on pages with high traffic but poor Core Web Vitals scores.
3. 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.
4. Adjust Date Ranges:
   • Customize date ranges in your reports to see the impact of specific changes over time. This helps in assessing the effectiveness of optimizations by comparing metrics before and after adjustments.
     
5. 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.
6. Cache Optimization:
   • Ensure a high cache hit rate as low caching performance can spike Core Web Vitals scores. Regularly review caching strategies and adjust settings to maintain optimal performance.
7. 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.
8. 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.