12.4 sec in total
Visit sv7202.powernet.vn now to see the best up-to-date Sv 7202 Powernet content for Vietnam and also check out these interesting facts you probably never knew about sv7202.powernet.vn
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We analyzed Sv7202.powernet.vn page load time and found that the first response time was 541 ms and then it took 11.9 sec to load all DOM resources and completely render a web page. This is a poor result, as 90% of websites can load faster.
sv7202.powernet.vn performance score
Our browser made a total of 21 requests to load all elements on the main page. We found that 0% of them (0 request) were addressed to the original Sv7202.powernet.vn, 10% (2 requests) were made to Fonts.gstatic.com and 10% (2 requests) were made to Google-analytics.com. The less responsive or slowest element that took the longest time to load (8.2 sec) relates to the external source Powernet.vn.
Page size can be reduced by 683.2 kB (74%)
Potential reduce by 21.3 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. This page needs HTML code to be minified as it can gain 7.0 kB, which is 27% of the original size. It is highly recommended that content of this web page should be compressed using GZIP, as it can save up to 21.3 kB or 81% of the original size.
Potential reduce by 2.7 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. Obviously, Sv 7202 Powernet needs image optimization as it can save up to 2.7 kB or 13% of the original volume. The most popular and efficient tools for JPEG and PNG image optimization are Jpegoptim and PNG Crush.
Potential reduce by 499.4 kB
Potential reduce by 159.8 kB
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. Sv7202.powernet.vn needs all CSS files to be minified and compressed as it can save up to 159.8 kB or 83% of the original size.
Number of requests can be reduced by 9 (53%)
sv7202.powernet.vn accessibility score
These are opportunities to improve the legibility of your content.
Background and foreground colors do not have a sufficient contrast ratio.
Internationalization and localization
These are opportunities to improve the interpretation of your content by users in different locales.
<html> element does not have a [lang] attribute
Names and labels
These are opportunities to improve the semantics of the controls in your application. This may enhance the experience for users of assistive technology, like a screen reader.
Form elements do not have associated labels
sv7202.powernet.vn best practices score
Trust and Safety
Does not use HTTPS
Ensure CSP is effective against XSS attacks
Serves images with low resolution
Browser errors were logged to the console
sv7202.powernet.vn SEO score
Crawling and Indexing
To appear in search results, crawlers need access to your app.
Links are not crawlable
Language claimed in HTML meta tag should match the language actually used on the web page. Otherwise Sv7202.powernet.vn can be misinterpreted by Google and other search engines. Our service has detected that Vietnamese is used on the page, and it matches the claimed language. Our system also found out that Sv7202.powernet.vn 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.
Open Graph description is not detected on the main page of Sv 7202 Powernet. Lack of Open Graph description can be counter-productive for their social media presence, as such a description allows converting a website homepage (or other pages) into good-looking, rich and well-structured posts, when it is being shared on Facebook and other social media. For example, adding the following code snippet into HTML <head> tag will help to represent this web page correctly in social networks: