Real User Monitoring
Understanding RUM Jargons
Let's understand the jargons used in Real User Monitoring (RUM) and what they mean.
Core Web Vitals
Core Web Vitals are a set of specific metrics defined by Google to quantify the user experience on a web page. These metrics focus on three key aspects of user experience: loading performance, interactivity, and visual stability.
The main metrics that comprise Core Web Vitals are LCP (Largest Contentful Paint), INP (Interaction to Next Paint), and CLS (Cumulative Layout Shift).
Largest Contentful Paint (LCP)
LCP measures loading performance. LCP marks the point in the page load timeline when the main content of the page has likely loaded. To provide a good user experience, LCP should occur within 2.5 seconds of when the page first starts loading.
Interaction to Next Paint (INP)
INP measures interactivity. INP tracks the time from when a user interacts with the page (such as clicking a button or link) to the time when the page is able to respond to that interaction. A good INP score is less than 200 milliseconds.
Cumulative Layout Shift (CLS)
CLS measures visual stability. CLS quantifies how much the page layout shifts during the loading phase, which can be distracting and frustrating for users. A good CLS score is less than 0.1.
First Contentful Paint (FCP)
FCP measures the time from when the page starts loading to when any part of the page's content is rendered on the screen. This could be text, images, or any other visible elements. A good FCP score is less than 1.5 second.
Time to First Byte (TTFB)
TTFB measures the time from when a user makes an HTTP request to when the first byte of the response is received by the browser. It includes network latency, server processing time, and the time taken to send the response back to the client. A good TTFB score is less than 800 milliseconds.
Page Views
The number of pages viewed by users on your website. This metric helps you understand how engaging your content is and how well your website is performing.
Sessions
A session is a group of interactions that take place on your website. Sessions help you understand how users interact with your website and how engaged they are.
User Experience Distribution
User Experience Distribution refers to the breakdown of user experiences into different performance categories based on key metrics like Core Web Vitals. It helps in understanding how different segments of users experience the performance of a website.
This distribution typically categorizes experiences into three levels:
Good: Users who experience optimal performance, meaning the site meets the recommended thresholds for Core Web Vitals.
Needs Improvement: Users who experience acceptable performance, but the site does not fully meet the recommended thresholds and could benefit from optimization.
Poor: Users who experience suboptimal performance, with the site significantly falling short of the recommended thresholds.
Domain Level Dataset
Domain Level Dataset refers to the data collected at the domain level, which includes aggregated performance metrics and user experience data across all pages on a domain. This data helps in understanding the overall performance of a website and identifying areas for improvement.
Page Level Dataset
Page Level Dataset refers to the data collected at the individual page level, which includes detailed performance metrics and user experience data for each page on a domain. This data helps in understanding the performance of specific pages and identifying opportunities for optimization.
Percentile
A percentile is a statistical measure that indicates the value below which a given percentage of observations in a group of observations fall.
In the context of web performance and user experience metrics, percentiles are used to understand the distribution of performance data and to evaluate the experience of different segments of users.
Exact URL & Pattern Match
Exact URL & Pattern Match refers to the ability to filter and analyze performance data based on specific URLs or URL patterns. This feature allows you to focus and filter on specific pages or groups of pages and gain insights into their performance.
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