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r.mail.machinelearningplus.com screenshot

Report Summary

  • 21

    Performance

    Renders faster than
    39% of other websites

  • 91

    Accessibility

    Visual factors better than
    that of 76% of websites

  • 92

    Best Practices

    More advanced features
    available than in
    80% of websites

  • 100

    SEO

    Google-friendlier than
    94% of websites

r.mail.machinelearningplus.com

Brevo | CRM Suite

Page Load Speed

999 ms in total

First Response

90 ms

Resources Loaded

636 ms

Page Rendered

273 ms

r.mail.machinelearningplus.com screenshot

About Website

Click here to check amazing R Mail Machinelearningplus content for United States. Otherwise, check out these important facts you probably never knew about r.mail.machinelearningplus.com

Brevo helps you grow your business. Build customer relationships across email, SMS, chat, and more. Use the tools you need, when you need them. Try it for free.

Visit r.mail.machinelearningplus.com

Key Findings

We analyzed R.mail.machinelearningplus.com page load time and found that the first response time was 90 ms and then it took 909 ms to load all DOM resources and completely render a web page. This is quite a good result, as only 20% of websites can load faster.

Performance Metrics

r.mail.machinelearningplus.com performance score

21

Measured Metrics

name

value

score

weighting

FCP (First Contentful Paint)

Value3.3 s

41/100

10%

LCP (Largest Contentful Paint)

Value6.3 s

10/100

25%

SI (Speed Index)

Value6.9 s

34/100

10%

TBT (Total Blocking Time)

Value1,950 ms

8/100

30%

CLS (Cumulative Layout Shift)

Value0.223

56/100

15%

TTI (Time to Interactive)

Value18.4 s

3/100

10%

Network Requests Diagram

www.brevo.com

90 ms

gtm.js

262 ms

j.php

213 ms

609e520e1cf47625.css

48 ms

7e3762db088d555c.css

61 ms

Our browser made a total of 61 requests to load all elements on the main page. We found that 0% of them (0 request) were addressed to the original R.mail.machinelearningplus.com, 34% (21 requests) were made to Brevo.com and 2% (1 request) were made to Metrics.brevo.com. The less responsive or slowest element that took the longest time to load (281 ms) relates to the external source Corp-backend.brevo.com.

Page Optimization Overview & Recommendations

Page size can be reduced by 203.3 kB (35%)

Content Size

584.7 kB

After Optimization

381.4 kB

  • HTML
  • Images
  • JavaScript
  • CSS

In fact, the total size of R.mail.machinelearningplus.com main page is 584.7 kB. This result falls beyond the top 1M of websites and identifies a large and not optimized web page that may take ages to load. 60% of websites need less resources to load. Images take 349.7 kB which makes up the majority of the site volume.

HTML Optimization

-87%

Potential reduce by 203.2 kB

  • Original 233.9 kB
  • After minification 233.9 kB
  • After compression 30.6 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 203.2 kB or 87% of the original size.

Image Optimization

-0%

Potential reduce by 0 B

  • Original 349.7 kB
  • After minification 349.7 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. R Mail Machinelearningplus images are well optimized though.

JavaScript Optimization

-3%

Potential reduce by 11 B

  • Original 433 B
  • After minification 433 B
  • After compression 422 B

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 2 B

  • Original 634 B
  • After minification 634 B
  • After compression 632 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. R.mail.machinelearningplus.com has all CSS files already compressed.

Requests Breakdown

Number of requests can be reduced by 35 (58%)

Requests Now

60

After Optimization

25

  • Images
  • JavaScript
  • CSS

The browser has sent 60 CSS, Javascripts, AJAX and image requests in order to completely render the main page of R Mail Machinelearningplus. We recommend that multiple CSS and JavaScript files should be merged into one by each type, as it can help reduce assets requests from 19 to 1 for JavaScripts and from 5 to 1 for CSS and as a result speed up the page load time.

Network Requests Diagram

www.brevo.com

www.brevo.com

90 ms

gtm.js

gtm.js

262 ms

j.php

j.php

213 ms

609e520e1cf47625.css

609e520e1cf47625.css

48 ms

7e3762db088d555c.css

7e3762db088d555c.css

61 ms

48853dbae3b54e21.css

48853dbae3b54e21.css

85 ms

30ebbf902514d8de.css

30ebbf902514d8de.css

79 ms

polyfills-c67a75d1b6f99dc8.js

polyfills-c67a75d1b6f99dc8.js

62 ms

fingerprint.js

fingerprint.js

88 ms

webpack-80862089c9161b11.js

webpack-80862089c9161b11.js

90 ms

framework-ce84985cd166733a.js

framework-ce84985cd166733a.js

83 ms

main-71e3bf73365eb8ba.js

main-71e3bf73365eb8ba.js

98 ms

_app-65533ef008c3e054.js

_app-65533ef008c3e054.js

88 ms

fdcf5922-dadc88233c699058.js

fdcf5922-dadc88233c699058.js

88 ms

2627-90ae83ebe59c9359.js

2627-90ae83ebe59c9359.js

112 ms

3438-b4789b2f906fa5d3.js

3438-b4789b2f906fa5d3.js

110 ms

2561-5f47a3233c01a004.js

2561-5f47a3233c01a004.js

113 ms

5281-c31b207feacdcbea.js

5281-c31b207feacdcbea.js

111 ms

8980-c587b6c3b666212a.js

8980-c587b6c3b666212a.js

115 ms

5243-e037c365e431b873.js

5243-e037c365e431b873.js

121 ms

index-190a3affac8aef4b.js

index-190a3affac8aef4b.js

122 ms

_buildManifest.js

_buildManifest.js

118 ms

_ssgManifest.js

_ssgManifest.js

122 ms

Vector.svg

Vector.svg

92 ms

Vector-1.svg

Vector-1.svg

108 ms

Brevo64.svg

Brevo64.svg

115 ms

TransactionalEmails-64.svg

TransactionalEmails-64.svg

118 ms

Conversations-64-1.svg

Conversations-64-1.svg

128 ms

CDP-1.svg

CDP-1.svg

106 ms

blog_header_2x.webp

blog_header_2x.webp

124 ms

LouisVuitton.svg

LouisVuitton.svg

158 ms

Tissot.svg

Tissot.svg

118 ms

Stripe.svg

Stripe.svg

137 ms

ebay-1.svg

ebay-1.svg

133 ms

Amnesty.svg

Amnesty.svg

134 ms

Michelin-1.svg

Michelin-1.svg

159 ms

MarketingPlatform-64-4.svg

MarketingPlatform-64-4.svg

140 ms

SalesCRM-64-1.svg

SalesCRM-64-1.svg

146 ms

Conversations-40-3.svg

Conversations-40-3.svg

149 ms

TransactionalEmails-64-3.svg

TransactionalEmails-64-3.svg

199 ms

marketing-automation-ebook-preview.webp

marketing-automation-ebook-preview.webp

161 ms

best_of_2023_3dgradient_1_1-300x300-1.webp

best_of_2023_3dgradient_1_1-300x300-1.webp

165 ms

martech_breakthrough_awards_2023_brevo_1_-300x292-1.webp

martech_breakthrough_awards_2023_brevo_1_-300x292-1.webp

164 ms

thesammy_2023_award_logo-300x247-1.webp

thesammy_2023_award_logo-300x247-1.webp

186 ms

marketingautomation_leader_mid_market_leader-265x300-1.webp

marketingautomation_leader_mid_market_leader-265x300-1.webp

187 ms

sascs23_gold_winner_1-2-300x293-1.webp

sascs23_gold_winner_1-2-300x293-1.webp

191 ms

marketingautomation_leader_small_business_leader-264x300-1.webp

marketingautomation_leader_small_business_leader-264x300-1.webp

179 ms

G2-original-1.svg

G2-original-1.svg

181 ms

Capterra-original-1.svg

Capterra-original-1.svg

210 ms

Gartner-original-1.svg

Gartner-original-1.svg

213 ms

ai_camp-300x122-1.webp

ai_camp-300x122-1.webp

213 ms

stripe.webp

stripe.webp

222 ms

am.webp

am.webp

203 ms

intercom.webp

intercom.webp

226 ms

yotpo.webp

yotpo.webp

220 ms

zoom.webp

zoom.webp

225 ms

zendesk.webp

zendesk.webp

242 ms

n_n.webp

n_n.webp

281 ms

175 ms

v84a3a4012de94ce1a686ba8c167c359c1696973893317

v84a3a4012de94ce1a686ba8c167c359c1696973893317

79 ms

5309a9e03cf153ec184a.css

5309a9e03cf153ec184a.css

55 ms

Accessibility Review

r.mail.machinelearningplus.com accessibility score

91

Accessibility Issues

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

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

r.mail.machinelearningplus.com best practices score

92

Areas of Improvement

Trust and Safety

Impact

Issue

High

Does not use HTTPS

Low

Ensure CSP is effective against XSS attacks

General

Impact

Issue

Low

Detected JavaScript libraries

High

Page has valid source maps

SEO Factors

r.mail.machinelearningplus.com SEO score

100

Search Engine Optimization Advices

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

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 R.mail.machinelearningplus.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 R.mail.machinelearningplus.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.

Social Sharing Optimization

r.mail.machinelearningplus.com

Open Graph description is not detected on the main page of R Mail Machinelearningplus. 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: