#GOOGLE WEB ANALYTICS HOW TO#
#GOOGLE WEB ANALYTICS INSTALL#
#GOOGLE WEB ANALYTICS CODE#

This can be caused by a host of factors, including an unattractive homepage, a confusing lay-out, no recently updated posts, or poor website design. Your bounce rate refers to how often a visitor lands on your site and literally bounces back out without even stopping to look around. Comparing successful posts to unsuccessful ones will help you determine what the common factor attracting visitors is. Pages with visitors lingering for longer periods of time are obviously doing better than pages with visitors who stay only seconds. You can also monitor the amount of time visitors spend on your site and each page. If the number of pages your average visitor clicks to significantly increases, this will imply that youвЂ™ve managed to increase the engagement value of your site. Alternatively, you can provide recent or related posts at the bottom of a page to get visitors to visit other pages. If the number is low, you can insert call-to-action buttons on your site, or embed links to other pages within a specific pageвЂ™s content. ItвЂ™s important to look at how many pages your visitors click on to before leaving your site. Looking at your engagement levelsВ is vital because it enables you to discover if your content is engaging enough or if itвЂ™ll be necessary to dedicate your energy towards developing better content. Just keep in mind that Google only measures engagement if a visitor moves from one page to another. Using this aspect of Google Analytics, youвЂ™ll be able to understand exactly how long visitors spend on your site and what specific content is engaging them and holding their attention. This allows you to give people more of the content they prefer and remodel other less visited content to suit your visitorsвЂ™ perceived palate. You can also determine which pages on your site are being visited the most and therefore determine what the average visitor prefers to look at on your site. You can check under вЂFrequency and RecencyвЂ™ in Google Analytics to see precisely which visitors visited your site repeatedly over a certain period. It goes without saying that if your siteвЂ™s content is interesting enough (and has been optimized for SEO), visitors may come back for more after their first visit. Google Analytics 4 introduces a new Event model allowing custom parameters instead of a fixed category, action, and label.Using Google Analytics, you can look at theВ precise number of visitors returning to your website as well as visiting it for the first time. ( function ( ) getCLS ( sendToGoogleAnalytics ) getFID ( sendToGoogleAnalytics ) getLCP ( sendToGoogleAnalytics ) Using gtag.js (Google Analytics 4) Load the 'standard' version (using a module script)

#GOOGLE WEB ANALYTICS HOW TO#

The following examples show how to load web-vitals from, whether your targeting just Chromium-based browsers (using the 'standard' version) or additional browsers (using the 'base+polyfill' version): However, if you're not using npm, it's still possible to use web-vitals by requesting it from a CDN that serves npm package files.

#GOOGLE WEB ANALYTICS INSTALL#

The recommended way to use the web-vitals package is to install it from npm and integrate it into your build process.

#GOOGLE WEB ANALYTICS CODE#

Tip: while it's certainly possible to inline the code in dist/polyfill.js by copy and pasting it directly into your templates, it's better to automate this process in a build step-otherwise you risk the 'base' and the 'polyfill' scripts getting out of sync when new versions are released. See how the polyfill works for more details. Note that the code must go in the of your pages in order to work. Inline code from `dist/polyfill.js` here You can install this library from npm by running: The library supports all of the Core Web Vitals as well as all of the other Web Vitals that can be measured in the field: Core Web Vitals Chrome User Experience Report, Page Speed Insights, Search Console's Speed Report). The web-vitals library is a tiny (~1K), modular library for measuring all the Web Vitals metrics on real users, in a way that accurately matches how they're measured by Chrome and reported to other Google tools (e.g. Send the results to an analytics endpoint.

Google web analytics