2.8 sec in total
16 ms
1.7 sec
1 sec
Click here to check amazing People content for United States. Otherwise, check out these important facts you probably never knew about people.ai
Leverage sales automation and AI to grow revenue, create consistent sales processes, and develop more effective teams.
Visit people.aiWe analyzed People.ai page load time and found that the first response time was 16 ms and then it took 2.7 sec to load all DOM resources and completely render a web page. This is a poor result, as 50% of websites can load faster.
people.ai performance score
name
value
score
weighting
Value3.8 s
27/100
10%
Value4.1 s
47/100
25%
Value10.8 s
6/100
10%
Value6,310 ms
0/100
30%
Value0.371
29/100
15%
Value27.9 s
0/100
10%
16 ms
14 ms
745 ms
69 ms
57 ms
Our browser made a total of 122 requests to load all elements on the main page. We found that 2% of them (3 requests) were addressed to the original People.ai, 52% (64 requests) were made to Cdn.prod.website-files.com and 20% (25 requests) were made to Assets.storylane.io. The less responsive or slowest element that took the longest time to load (938 ms) relates to the external source Flowbase.s3-ap-southeast-2.amazonaws.com.
Page size can be reduced by 1.2 MB (15%)
8.4 MB
7.1 MB
In fact, the total size of People.ai main page is 8.4 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. Only a small number of websites need less resources to load. Images take 6.7 MB which makes up the majority of the site volume.
Potential reduce by 53.3 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. 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 53.3 kB or 76% of the original size.
Potential reduce by 703.4 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, People needs image optimization as it can save up to 703.4 kB or 11% of the original volume. The most popular and efficient tools for JPEG and PNG image optimization are Jpegoptim and PNG Crush.
Potential reduce by 477.8 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. It is highly recommended that all JavaScript files should be compressed and minified as it can save up to 477.8 kB or 30% of the original size.
Potential reduce by 349 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. People.ai has all CSS files already compressed.
Number of requests can be reduced by 51 (47%)
109
58
The browser has sent 109 CSS, Javascripts, AJAX and image requests in order to completely render the main page of People. We recommend that multiple CSS and JavaScript files should be merged into one by each type, as it can help reduce assets requests from 37 to 1 for JavaScripts and from 6 to 1 for CSS and as a result speed up the page load time.
people.ai
16 ms
people.ai
14 ms
www.people.ai
745 ms
people-ai.28cd74fb4.min.css
69 ms
webfont.js
57 ms
forms2.min.js
227 ms
2a3a294674a4fdc8.js
56 ms
js.cookie.min.js
79 ms
cookie.js
938 ms
bouncer.polyfills.min.js
112 ms
storylane.js
57 ms
jquery-3.5.1.min.dc5e7f18c8.js
56 ms
people-ai.463880739.js
78 ms
t.js
64 ms
css
54 ms
gtm.js
174 ms
6462847f605fb77f78b2ae0e_logo-main.svg
127 ms
media.html
240 ms
cx7hqecp9p97
281 ms
generic
142 ms
t.gif
118 ms
6526f65fea44fff4edd40d2a_l-2hite.svg
124 ms
6527167c11eb8d5bee4c9e94_sAI.svg
131 ms
6462847f605fb77f78b2af5a_Icon%20-%20People.svg
134 ms
65270892bebaf246675d9e89_SalesAI.svg
144 ms
6462847f605fb77f78b2af5b_Icon%20-%20Data%20Foundation.svg
136 ms
6462847f605fb77f78b2af5c_Icon%20-%20Revenue%20Solutuion.svg
133 ms
6462847f605fb77f78b2af7c_Icon%20-%20Glass.svg
140 ms
6462847f605fb77f78b2af7e_Icon%20-%20security.svg
153 ms
6462847f605fb77f78b2af7f_Icon%20-%20Partners.svg
164 ms
6462847f605fb77f78b2af83_Icon%20-%20Sales.svg
166 ms
6462847f605fb77f78b2af85_Icon-Operations.svg
165 ms
6462847f605fb77f78b2af86_Icon%20-%20Customer%20Success.svg
170 ms
6462847f605fb77f78b2af84_Icon%20-%20Marketing.svg
169 ms
6462847f605fb77f78b2af87_Icon%20-%20Tech.svg
229 ms
6462847f605fb77f78b2af88_Icon%20-%20Life%20Sciences.svg
231 ms
6462847f605fb77f78b2af89_Icon%20-%20Manufacturing.svg
232 ms
6462847f605fb77f78b2af8a_Icon%20-%20Tele.svg
231 ms
6462847f605fb77f78b2afec_cs-Icon.svg
235 ms
6462847f605fb77f78b2afe9_cs-Icon-1.svg
234 ms
6462847f605fb77f78b2afeb_cs-Icon-2.svg
236 ms
6462847f605fb77f78b2afea_cs-Icon-3.svg
242 ms
6490b637b9dfcac93aa4f869_ico-news.svg
237 ms
6490b637a1ae049e0a25f032_ico-webinar.svg
239 ms
6490b6374382e3418f375f7e_ico-content-hub.svg
237 ms
6490b637a13a6ec1ed339b83_ico-blog.svg
240 ms
6490b63727ea3164db5fb832_ico-podcast.svg
242 ms
6462847f605fb77f78b2b020_about.svg
245 ms
6462847f605fb77f78b2b022_career.svg
246 ms
6462847f605fb77f78b2b023_contact.svg
244 ms
6462847f605fb77f78b2ae0f_ico-search.svg
247 ms
6462847f605fb77f78b2afb4_iclose.svg
247 ms
placeholder.60f9b1840c.svg
273 ms
6462847f605fb77f78b2ae5e_icon-doc.svg
268 ms
6462847f605fb77f78b2ae96_Group%2056318.svg
254 ms
6462847f605fb77f78b2ae95_icon.svg
263 ms
xn7_YHE41ni1AdIRqAuZuw1Bx9mbZk59FN_C-bw.ttf
48 ms
xn7_YHE41ni1AdIRqAuZuw1Bx9mbZk6jFN_C-bw.ttf
61 ms
xn7_YHE41ni1AdIRqAuZuw1Bx9mbZk79FN_C-bw.ttf
135 ms
xn7_YHE41ni1AdIRqAuZuw1Bx9mbZk7PFN_C-bw.ttf
121 ms
xn7_YHE41ni1AdIRqAuZuw1Bx9mbZk4jE9_C-bw.ttf
135 ms
xn7_YHE41ni1AdIRqAuZuw1Bx9mbZk4aE9_C-bw.ttf
135 ms
xn7_YHE41ni1AdIRqAuZuw1Bx9mbZk59E9_C-bw.ttf
134 ms
6462847f605fb77f78b2ae97_icon.svg
167 ms
651f0272cff32289634bec51_pattern.svg
143 ms
667c48e0ecde84bd19d1b6cf_compare-graphic.png
309 ms
6462847f605fb77f78b2af56_Product_Data-Foundation_Primary.svg
143 ms
65f22c5c9e38403c032a48d5_ai-c.png
152 ms
650212c48ece0fc58457e3f6_pipeline-pic.png
149 ms
generic
7 ms
6462847f605fb77f78b2b029_Icon%20-%20Achieve.svg
136 ms
s.gif
4 ms
6462847f605fb77f78b2b02b_Icon%20-%20Idea.svg
216 ms
6462847f605fb77f78b2b02a_Icon%20-%20Growth.svg
189 ms
6643d461557c9bb0439c6541_ms-dynamics-hero.png
327 ms
66689c7f964cb726c22176f0_cisco_black.svg
191 ms
654bead4f8b0f7f3a2cc4b74_Five9b.svg
179 ms
6462847f605fb77f78b2b5e4_okta.svg
188 ms
6462847f605fb77f78b2b5e6_pulsa.svg
144 ms
j82z3z4z06
59 ms
iframe-api-v1.js
62 ms
654bd9aef2324d573fa9be23_ulogob.svg
249 ms
66689c704a6e0431efaa8e72_verizon_black.svg
263 ms
6462847f605fb77f78b2b5de_zoom.svg
245 ms
66686455573febdb1ee61369_sandeep_cisco.png
246 ms
66689c84a26d9cb62ab3bbf7_cisco-reversed.svg
252 ms
66bd1fdb89c22b39451b520c_aug15-release-blog-1200x627-1.jpg
258 ms
669031f6974d3a3f4eda2148_GTM%20Insider%20-%20Can%20Thought%20Leadership%20Level%20Up%20Your%20Sales%20Organizatio%20(1).png
258 ms
66ad09b99d624d89f08b8eae_Day%20in%20the%20Life-Jamie%20Carney%20(1).jpg
257 ms
6462847f605fb77f78b2adc9_ico-linkedin_450b189d.svg
258 ms
6462847f605fb77f78b2adca_ico-twitter_1ffd1465.svg
256 ms
6462847f605fb77f78b2adcb_ico-facebook_3e29ee44.svg
256 ms
6462847f605fb77f78b2b024_cookie.svg
256 ms
485692631d433040.css
97 ms
c1e2620c82a4caf2.css
102 ms
022c30593eef2d37.css
172 ms
polyfills-c67a75d1b6f99dc8.js
156 ms
d5150773.43edb16a0e1a6d16.js
175 ms
7757-771b3fe4b5e52375.js
175 ms
1615-f575e0b71bd9c597.js
179 ms
8727-88a03eac3fabe89a.js
179 ms
8067-c3f1843fd1d3234f.js
180 ms
1819.9fe1d13a69cab6ac.js
183 ms
3046.269e39481138802a.js
183 ms
3632-af9d02efc04cf063.js
182 ms
1314-5a8c87d4827c17e9.js
186 ms
9438.20638fd03b09826f.js
188 ms
webpack-d096e42e230ad5fd.js
193 ms
framework-3b35a0adeb4f5e0a.js
197 ms
main-bbc523a29874b242.js
197 ms
_app-d14abd01b5163e94.js
195 ms
4243-4d1d668fb3e5ef7b.js
197 ms
5930-5d8c52131dbe6eb2.js
230 ms
1514-c73bbb50840733ee.js
196 ms
834-e9c74618059b6596.js
227 ms
%5Bid%5D-bfcd49c939bec6fe.js
228 ms
_buildManifest.js
228 ms
_ssgManifest.js
227 ms
css2
98 ms
E-v1.js
76 ms
insideIframe.js
4 ms
flashPlayer.js
47 ms
people.ai accessibility score
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
<frame> or <iframe> elements do not have a title
Links do not have a discernible name
people.ai best practices score
Trust and Safety
Impact
Issue
Does not use HTTPS
Ensure CSP is effective against XSS attacks
General
Impact
Issue
Detected JavaScript libraries
Browser errors were logged to the console
Missing source maps for large first-party JavaScript
people.ai 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
![]()
EN
![]()
EN
UTF-8
Language claimed in HTML meta tag should match the language actually used on the web page. Otherwise People.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 People.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.
people.ai
Open Graph data is detected on the main page of People. This is the best way to make the web page social media friendly. Here is how it looks like on Facebook: