Tools & Wizards About Us
econtext.ai screenshot

Report Summary

  • 12

    Performance

    Renders faster than
    25% of other websites

  • 90

    Accessibility

    Visual factors better than
    that of 74% of websites

  • 75

    Best Practices

    More advanced features
    available than in
    35% of websites

  • 90

    SEO

    Google-friendlier than
    68% of websites

econtext.ai

Semantic Text Classification | eContext Taxonomy and Data Structure |

Page Load Speed

2.2 sec in total

First Response

25 ms

Resources Loaded

1.6 sec

Page Rendered

600 ms

econtext.ai screenshot

About Website

Click here to check amazing EContext content. Otherwise, check out these important facts you probably never knew about econtext.ai

eContext, the world’s largest semantic text classification engine, classifies content instantly. Find out how to structure data from any text source.

Visit econtext.ai

Key Findings

We analyzed Econtext.ai page load time and found that the first response time was 25 ms and then it took 2.2 sec to load all DOM resources and completely render a web page. This is quite a good result, as only 45% of websites can load faster.

Performance Metrics

econtext.ai performance score

12

Measured Metrics

name

value

score

weighting

FCP (First Contentful Paint)

Value2.5 s

67/100

10%

LCP (Largest Contentful Paint)

Value6.0 s

13/100

25%

SI (Speed Index)

Value12.4 s

3/100

10%

TBT (Total Blocking Time)

Value4,190 ms

1/100

30%

CLS (Cumulative Layout Shift)

Value0.676

8/100

15%

TTI (Time to Interactive)

Value17.7 s

4/100

10%

Network Requests Diagram

econtext.ai

25 ms

econtext.ai

56 ms

www.econtext.ai

345 ms

autoptimize_1df66642c8ed1c56a6a230cff92f8332.css

63 ms

jquery.min.js

130 ms

Our browser made a total of 52 requests to load all elements on the main page. We found that 62% of them (32 requests) were addressed to the original Econtext.ai, 8% (4 requests) were made to Googletagmanager.com and 6% (3 requests) were made to Gstatic.com. The less responsive or slowest element that took the longest time to load (584 ms) belongs to the original domain Econtext.ai.

Page Optimization Overview & Recommendations

Page size can be reduced by 60.8 kB (4%)

Content Size

1.4 MB

After Optimization

1.4 MB

  • HTML
  • Images
  • JavaScript
  • CSS

In fact, the total size of Econtext.ai main page is 1.4 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. 75% of websites need less resources to load and that’s why Accessify’s recommendations for optimization and resource minification can be helpful for this project. Javascripts take 803.3 kB which makes up the majority of the site volume.

HTML Optimization

-77%

Potential reduce by 57.2 kB

  • Original 74.3 kB
  • After minification 74.3 kB
  • After compression 17.2 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 57.2 kB or 77% of the original size.

Image Optimization

-0%

Potential reduce by 1.8 kB

  • Original 490.0 kB
  • After minification 488.2 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. EContext images are well optimized though.

JavaScript Optimization

-0%

Potential reduce by 1.8 kB

  • Original 803.3 kB
  • After minification 803.3 kB
  • After compression 801.6 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.

CSS Optimization

-0%

Potential reduce by 15 B

  • Original 52.3 kB
  • After minification 52.3 kB
  • After compression 52.3 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. Econtext.ai has all CSS files already compressed.

Requests Breakdown

Number of requests can be reduced by 14 (33%)

Requests Now

42

After Optimization

28

  • AJAX
  • Images
  • JavaScript
  • CSS

The browser has sent 42 CSS, Javascripts, AJAX and image requests in order to completely render the main page of EContext. We recommend that multiple CSS and JavaScript files should be merged into one by each type, as it can help reduce assets requests from 15 to 1 for JavaScripts and as a result speed up the page load time.

Network Requests Diagram

econtext.ai

econtext.ai

25 ms

econtext.ai

econtext.ai

56 ms

www.econtext.ai

www.econtext.ai

345 ms

autoptimize_1df66642c8ed1c56a6a230cff92f8332.css

autoptimize_1df66642c8ed1c56a6a230cff92f8332.css

63 ms

jquery.min.js

jquery.min.js

130 ms

api.js

api.js

128 ms

js

js

178 ms

js

js

145 ms

email-decode.min.js

email-decode.min.js

56 ms

autoptimize_c50b9e32d9865fb403b491d94c10bc69.js

autoptimize_c50b9e32d9865fb403b491d94c10bc69.js

144 ms

wp-emoji-release.min.js

wp-emoji-release.min.js

33 ms

recaptcha__en.js

recaptcha__en.js

177 ms

hotjar-869034.js

hotjar-869034.js

431 ms

gtm.js

gtm.js

238 ms

Logo.png

Logo.png

236 ms

hero-4.jpg

hero-4.jpg

361 ms

hero-1.jpg

hero-1.jpg

360 ms

transparent.png

transparent.png

359 ms

hero-2.jpg

hero-2.jpg

360 ms

SmarterSites-icon-@2x.png

SmarterSites-icon-@2x.png

382 ms

Market-icon-@2x.png

Market-icon-@2x.png

381 ms

Personalize-icon-@2x.png

Personalize-icon-@2x.png

381 ms

Conduct-icon-@2x.png

Conduct-icon-@2x.png

381 ms

last-structure.png

last-structure.png

363 ms

publicis-group.png

publicis-group.png

370 ms

kantar-media.png

kantar-media.png

405 ms

lieberman-logo.png

lieberman-logo.png

414 ms

C1X-Logo-FI-sm-150.jpg

C1X-Logo-FI-sm-150.jpg

500 ms

datasift.png

datasift.png

498 ms

black-swan.png

black-swan.png

499 ms

aritzia.png

aritzia.png

517 ms

california-university.png

california-university.png

516 ms

MuseoSans_l.woff

MuseoSans_l.woff

493 ms

fontawesome-webfont.woff

fontawesome-webfont.woff

513 ms

fontawesome-webfont.woff

fontawesome-webfont.woff

570 ms

video-bg.jpg

video-bg.jpg

526 ms

hero-3.jpg

hero-3.jpg

584 ms

MuseoSans.woff

MuseoSans.woff

525 ms

fallback

fallback

78 ms

fs.js

fs.js

187 ms

js

js

61 ms

hero-4.jpg

hero-4.jpg

293 ms

fallback__ltr.css

fallback__ltr.css

21 ms

modules.0721e7cf944cf9d78a0b.js

modules.0721e7cf944cf9d78a0b.js

173 ms

css

css

266 ms

js

js

164 ms

analytics.js

analytics.js

159 ms

web

web

68 ms

logo_48.png

logo_48.png

198 ms

collect

collect

17 ms

KFOmCnqEu92Fr1Mu4mxM.woff

KFOmCnqEu92Fr1Mu4mxM.woff

37 ms

KFOlCnqEu92Fr1MmEU9fBBc-.woff

KFOlCnqEu92Fr1MmEU9fBBc-.woff

40 ms

Accessibility Review

econtext.ai accessibility score

90

Accessibility Issues

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

High

ARIA input fields do not have accessible names

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.

Impact

Issue

High

Buttons do not have an accessible name

Contrast

These are opportunities to improve the legibility of your content.

Impact

Issue

High

Background and foreground colors do not have a sufficient contrast ratio.

Navigation

These are opportunities to improve keyboard navigation in your application.

Impact

Issue

High

Heading elements are not in a sequentially-descending order

Best Practices

econtext.ai best practices score

75

Areas of Improvement

Trust and Safety

Impact

Issue

High

Does not use HTTPS

High

Includes front-end JavaScript libraries with known security vulnerabilities

Low

Ensure CSP is effective against XSS attacks

User Experience

Impact

Issue

High

Serves images with low resolution

General

Impact

Issue

Low

Detected JavaScript libraries

High

Missing source maps for large first-party JavaScript

SEO Factors

econtext.ai SEO score

90

Search Engine Optimization Advices

Crawling and Indexing

To appear in search results, crawlers need access to your app.

Impact

Issue

High

Links are not crawlable

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

High

Document uses legible font sizes

High

Tap targets are not sized appropriately

Language and Encoding

  • Language Detected

    EN

  • Language Claimed

    EN

  • Encoding

    UTF-8

Language claimed in HTML meta tag should match the language actually used on the web page. Otherwise Econtext.ai 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 Econtext.ai 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.

Social Sharing Optimization

econtext.ai

Open Graph data is detected on the main page of EContext. This is the best way to make the web page social media friendly. Here is how it looks like on Facebook: