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r.mail.machinelearningplus.com screenshot

Report Summary

  • 36

    Performance

    Renders faster than
    56% of other websites

  • 92

    Accessibility

    Visual factors better than
    that of 78% of websites

  • 83

    Best Practices

    More advanced features
    available than in
    55% of websites

  • 100

    SEO

    Google-friendlier than
    94% of websites

r.mail.machinelearningplus.com

Sendinblue technical domain

Page Load Speed

1.6 sec in total

First Response

74 ms

Resources Loaded

1.3 sec

Page Rendered

284 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

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Key Findings

We analyzed R.mail.machinelearningplus.com page load time and found that the first response time was 74 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 35% of websites can load faster.

Performance Metrics

r.mail.machinelearningplus.com performance score

36

Measured Metrics

name

value

score

weighting

FCP (First Contentful Paint)

Value2.9 s

52/100

10%

LCP (Largest Contentful Paint)

Value4.1 s

46/100

25%

SI (Speed Index)

Value6.6 s

37/100

10%

TBT (Total Blocking Time)

Value3,690 ms

1/100

30%

CLS (Cumulative Layout Shift)

Value0.004

100/100

15%

TTI (Time to Interactive)

Value20.6 s

2/100

10%

Network Requests Diagram

www.brevo.com

74 ms

a36096b8ae12bb21.css

68 ms

d2da0b3e99aca483.css

73 ms

1f8603b325df11dd.css

96 ms

b6dbd69921adf21e.css

75 ms

Our browser made a total of 98 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, 26% (25 requests) were made to Brevo.com and 1% (1 request) were made to Designsystem.brevo.com. The less responsive or slowest element that took the longest time to load (478 ms) relates to the external source Metrics.brevo.com.

Page Optimization Overview & Recommendations

Page size can be reduced by 256.9 kB (34%)

Content Size

747.3 kB

After Optimization

490.5 kB

  • HTML
  • JavaScript
  • CSS

In fact, the total size of R.mail.machinelearningplus.com main page is 747.3 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. 35% of websites need less resources to load. Javascripts take 447.0 kB which makes up the majority of the site volume.

HTML Optimization

-86%

Potential reduce by 256.4 kB

  • Original 299.6 kB
  • After minification 299.6 kB
  • After compression 43.2 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 256.4 kB or 86% of the original size.

JavaScript Optimization

-0%

Potential reduce by 417 B

  • Original 447.0 kB
  • After minification 447.0 kB
  • After compression 446.6 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

-6%

Potential reduce by 44 B

  • Original 691 B
  • After minification 691 B
  • After compression 647 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 49 (51%)

Requests Now

97

After Optimization

48

  • Images
  • JavaScript
  • CSS

The browser has sent 97 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 18 to 1 for JavaScripts and from 9 to 1 for CSS and as a result speed up the page load time.

Network Requests Diagram

www.brevo.com

www.brevo.com

74 ms

a36096b8ae12bb21.css

a36096b8ae12bb21.css

68 ms

d2da0b3e99aca483.css

d2da0b3e99aca483.css

73 ms

1f8603b325df11dd.css

1f8603b325df11dd.css

96 ms

b6dbd69921adf21e.css

b6dbd69921adf21e.css

75 ms

6d955e8caa5a87a5.css

6d955e8caa5a87a5.css

63 ms

8835075a384c7bfb.css

8835075a384c7bfb.css

146 ms

c78f49f6e9d7184c.css

c78f49f6e9d7184c.css

122 ms

8f94dc5e979d79e0.css

8f94dc5e979d79e0.css

104 ms

fd9d1056-49a6656e65e5c038.js

fd9d1056-49a6656e65e5c038.js

112 ms

5158-64d5e5a70f178fbf.js

5158-64d5e5a70f178fbf.js

157 ms

main-app-cb3e64a180adb0da.js

main-app-cb3e64a180adb0da.js

156 ms

18967bc7-34ef22148adb196a.js

18967bc7-34ef22148adb196a.js

194 ms

1077-84ac60cc18c99c7d.js

1077-84ac60cc18c99c7d.js

194 ms

4819-7d7069bdd68d8ac4.js

4819-7d7069bdd68d8ac4.js

205 ms

9848-511f9ac68f049846.js

9848-511f9ac68f049846.js

206 ms

3273-5202e1aa6e525452.js

3273-5202e1aa6e525452.js

255 ms

1600-84ad18ed39118af2.js

1600-84ad18ed39118af2.js

220 ms

3617-bffe3e8faafb5d37.js

3617-bffe3e8faafb5d37.js

300 ms

2227-48261a78b2ccbb9d.js

2227-48261a78b2ccbb9d.js

290 ms

page-aabc2239f578f056.js

page-aabc2239f578f056.js

297 ms

layout-461856c6a3aa241c.js

layout-461856c6a3aa241c.js

260 ms

not-found-e2970480fd0a1b0b.js

not-found-e2970480fd0a1b0b.js

311 ms

5309a9e03cf153ec184a.css

5309a9e03cf153ec184a.css

79 ms

polyfills-c67a75d1b6f99dc8.js

polyfills-c67a75d1b6f99dc8.js

320 ms

webpack-c43ae7f8a95c242e.js

webpack-c43ae7f8a95c242e.js

377 ms

vcd15cbe7772f49c399c6a5babf22c1241717689176015

vcd15cbe7772f49c399c6a5babf22c1241717689176015

39 ms

dt.js

dt.js

478 ms

BF-icon-2-2.svg

BF-icon-2-2.svg

115 ms

Mail-64.svg

Mail-64.svg

86 ms

Message-64-1.svg

Message-64-1.svg

71 ms

Wallet-product-64-green.svg

Wallet-product-64-green.svg

112 ms

Push-Notification-64.svg

Push-Notification-64.svg

93 ms

Automation-64.svg

Automation-64.svg

145 ms

Signup-forms-64.svg

Signup-forms-64.svg

89 ms

Pipeline-management-64.svg

Pipeline-management-64.svg

99 ms

Personal-Meeting-64.svg

Personal-Meeting-64.svg

123 ms

Inbox-64.svg

Inbox-64.svg

116 ms

Meeting-64.svg

Meeting-64.svg

131 ms

Whatsapp-40px.svg

Whatsapp-40px.svg

134 ms

Green-Data-sources-unification.svg

Green-Data-sources-unification.svg

149 ms

Green-Multi-table-data-model.svg

Green-Multi-table-data-model.svg

141 ms

Green-Data-preparation.svg

Green-Data-preparation.svg

142 ms

Green-Scoring-Library.svg

Green-Scoring-Library.svg

157 ms

Green-Data-Analytics.svg

Green-Data-Analytics.svg

192 ms

enterprise.webp

enterprise.webp

188 ms

Brevo-AI.webp

Brevo-AI.webp

176 ms

Integrations-1.webp

Integrations-1.webp

214 ms

Developers.webp

Developers.webp

185 ms

blog-1.svg

blog-1.svg

227 ms

ebook.svg

ebook.svg

202 ms

academy-1.svg

academy-1.svg

224 ms

events-2.svg

events-2.svg

246 ms

email-markating.svg

email-markating.svg

212 ms

mailchimp-alternative-1.svg

mailchimp-alternative-1.svg

277 ms

case-study.svg

case-study.svg

252 ms

SMB.svg

SMB.svg

283 ms

retail-ecommerce.svg

retail-ecommerce.svg

295 ms

Customer-success.svg

Customer-success.svg

277 ms

Community.svg

Community.svg

279 ms

product-updates-green.svg

product-updates-green.svg

281 ms

partner-program.svg

partner-program.svg

307 ms

integrations-2.svg

integrations-2.svg

318 ms

help-center-2.svg

help-center-2.svg

303 ms

contact-us-1.svg

contact-us-1.svg

241 ms

API-1.svg

API-1.svg

400 ms

find-expert-2.svg

find-expert-2.svg

228 ms

Platform-status-green.svg

Platform-status-green.svg

265 ms

en_new_hero_image_for_tab_mob.webp

en_new_hero_image_for_tab_mob.webp

238 ms

LouisVuitton.svg

LouisVuitton.svg

248 ms

Tissot.svg

Tissot.svg

237 ms

Bodybuilding.svg

Bodybuilding.svg

274 ms

ebay-1.svg

ebay-1.svg

239 ms

Michelin.svg

Michelin.svg

242 ms

Amnesty.svg

Amnesty.svg

247 ms

MarketingPlatform-64-4.svg

MarketingPlatform-64-4.svg

238 ms

SalesCRM-64-1.svg

SalesCRM-64-1.svg

245 ms

Conversations-40-3.svg

Conversations-40-3.svg

251 ms

CDP-1.svg

CDP-1.svg

308 ms

TransactionalEmails-64-3.svg

TransactionalEmails-64-3.svg

259 ms

leader_smb_fall_2x.webp

leader_smb_fall_2x.webp

237 ms

best_est_roi_2x.webp

best_est_roi_2x.webp

280 ms

easiest_to_use_midmarket_2x.webp

easiest_to_use_midmarket_2x.webp

220 ms

best_support_enterprise_2x.webp

best_support_enterprise_2x.webp

236 ms

best_result_ent_fall_2x.webp

best_result_ent_fall_2x.webp

263 ms

momentum_leader_fall_2x.webp

momentum_leader_fall_2x.webp

227 ms

G2-original-1.svg

G2-original-1.svg

241 ms

Capterra-original-1.svg

Capterra-original-1.svg

235 ms

GetApp-1.svg

GetApp-1.svg

264 ms

ai_camp-300x122-1.webp

ai_camp-300x122-1.webp

270 ms

lp_mkt_automation_en-2.webp

lp_mkt_automation_en-2.webp

242 ms

stripe.webp

stripe.webp

217 ms

am.webp

am.webp

203 ms

intercom.webp

intercom.webp

248 ms

yotpo.webp

yotpo.webp

297 ms

zoom.webp

zoom.webp

227 ms

zendesk.webp

zendesk.webp

283 ms

n_n.webp

n_n.webp

239 ms

Accessibility Review

r.mail.machinelearningplus.com accessibility score

92

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

Best Practices

r.mail.machinelearningplus.com best practices score

83

Areas of Improvement

Trust and Safety

Impact

Issue

High

Does not use HTTPS

Low

Ensure CSP is effective against XSS attacks

General

Impact

Issue

High

Browser errors were logged to the console

High

Missing source maps for large first-party JavaScript

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: