1.6 sec in total
26 ms
921 ms
698 ms
Welcome to click.google-analytics.com homepage info - get ready to check Click Google Analytics best content for United States right away, or after learning these important things about click.google-analytics.com
Google Analytics gives you the tools you need to better understand your customers. You can then use those business insights to take action, such as improving your website, creating tailored audience l...
Visit click.google-analytics.comWe analyzed Click.google-analytics.com page load time and found that the first response time was 26 ms and then it took 1.6 sec to load all DOM resources and completely render a web page. This is quite a good result, as only 30% of websites can load faster.
click.google-analytics.com performance score
name
value
score
weighting
Value3.3 s
40/100
10%
Value6.3 s
10/100
25%
Value3.7 s
85/100
10%
Value720 ms
41/100
30%
Value0
100/100
15%
Value7.3 s
50/100
10%
26 ms
23 ms
39 ms
69 ms
23 ms
Our browser made a total of 38 requests to load all elements on the main page. We found that 3% of them (1 request) were addressed to the original Click.google-analytics.com, 26% (10 requests) were made to Lh3.googleusercontent.com and 21% (8 requests) were made to Fonts.gstatic.com. The less responsive or slowest element that took the longest time to load (757 ms) relates to the external source Lh3.googleusercontent.com.
Page size can be reduced by 82.5 kB (8%)
1.0 MB
966.1 kB
In fact, the total size of Click.google-analytics.com main page is 1.0 MB. This result falls beyond the top 1M of websites and identifies a large and not optimized web page that may take ages to load. 55% of websites need less resources to load. Images take 797.9 kB which makes up the majority of the site volume.
Potential reduce by 75.6 kB
HTML content can be minified and compressed by a website’s server. The most efficient way is to compress content using GZIP which reduces data amount travelling through the network between server and browser. HTML code on this page is well minified. It is highly recommended that content of this web page should be compressed using GZIP, as it can save up to 75.6 kB or 78% of the original size.
Potential reduce by 5.8 kB
Image size optimization can help to speed up a website loading time. The chart above shows the difference between the size before and after optimization. Click Google Analytics images are well optimized though.
Potential reduce by 1.2 kB
It’s better to minify JavaScript in order to improve website performance. The diagram shows the current total size of all JavaScript files against the prospective JavaScript size after its minification and compression. This website has mostly compressed JavaScripts.
Potential reduce by 0 B
CSS files minification is very important to reduce a web page rendering time. The faster CSS files can load, the earlier a page can be rendered. Click.google-analytics.com has all CSS files already compressed.
Number of requests can be reduced by 10 (37%)
27
17
The browser has sent 27 CSS, Javascripts, AJAX and image requests in order to completely render the main page of Click Google Analytics. We recommend that multiple CSS and JavaScript files should be merged into one by each type, as it can help reduce assets requests from 11 to 1 for JavaScripts and as a result speed up the page load time.
click.google-analytics.com
26 ms
23 ms
39 ms
css
69 ms
index.min.css
23 ms
detect.min.js
60 ms
cookie_consent_bar.v3.js
81 ms
angular.min.js
138 ms
angular-animate.min.js
170 ms
angular-touch.min.js
175 ms
index.min.js
75 ms
analytics.min.js
62 ms
gtm.js
291 ms
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357 ms
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625 ms
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626 ms
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886LNm9rZXs_jXtALs29EXMbMlrxBM3CcJtVBs4hrkrEJtV-bUTc7yE2gi_4KxPsI7COlPVXVi9Jr5eo9KbTPvckf6BQfJGdRbpq3xsZ6T-hF3ayCVk=s1500
626 ms
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757 ms
config.json
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KFOmCnqEu92Fr1Mu4mxP.ttf
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KFOlCnqEu92Fr1MmEU9fBBc9.ttf
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KFOlCnqEu92Fr1MmSU5fBBc9.ttf
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183 ms
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pxiDypQkot1TnFhsFMOfGShVF9eL.ttf
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analytics.js
292 ms
339 ms
js
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collect
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collect
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21 ms
click.google-analytics.com accessibility score
ARIA
These are opportunities to improve the usage of ARIA in your application which may enhance the experience for users of assistive technology, like a screen reader.
Impact
Issue
Elements with an ARIA [role] that require children to contain a specific [role] are missing some or all of those required children.
[role]s are not contained by their required parent element
Tables and lists
These are opportunities to improve the experience of reading tabular or list data using assistive technology, like a screen reader.
Impact
Issue
List items (<li>) are not contained within <ul> or <ol> parent elements.
click.google-analytics.com best practices score
Trust and Safety
Impact
Issue
Does not use HTTPS
Includes front-end JavaScript libraries with known security vulnerabilities
Ensure CSP is effective against XSS attacks
General
Impact
Issue
Detected JavaScript libraries
Browser errors were logged to the console
Page has valid source maps
click.google-analytics.com SEO score
Content Best Practices
Format your HTML in a way that enables crawlers to better understand your app’s content.
Impact
Issue
Links do not have descriptive text
Mobile Friendly
Make sure your pages are mobile friendly so users don’t have to pinch or zoom in order to read the content pages. [Learn more](https://developers.google.com/search/mobile-sites/).
Impact
Issue
Document uses legible font sizes
Tap targets are not sized appropriately
EN
EN
UTF-8
Language claimed in HTML meta tag should match the language actually used on the web page. Otherwise Click.google-analytics.com can be misinterpreted by Google and other search engines. Our service has detected that English is used on the page, and it matches the claimed language. Our system also found out that Click.google-analytics.com main page’s claimed encoding is utf-8. Use of this encoding format is the best practice as the main page visitors from all over the world won’t have any issues with symbol transcription.
click.google-analytics.com
Open Graph data is detected on the main page of Click Google Analytics. This is the best way to make the web page social media friendly. Here is how it looks like on Facebook: