Website SEO Analysis
In-Depth

Detailed Website Analysis

The basic overview not enough? Let's dive deeper.

theymcaofacadiana.com Data In-Depth

A website is not just Quantcast ranks and meta information. There is a whole lot more to it. Let's give it a proper look now, shall we?

Page speed overview

• It takes around 0.9446 seconds for the homepage to fully load. This is a very good result, as search engines prioritize websites that are quick to load.
• It's worth to note the HTML of the page is around 40.8 kilobytes in size. A good result that should not impact load speed in any negative way.
• Judging by tags, the homepage contains at least 18 images. A great amount! Not too many, at least. Images should not impact page load speed negatively.
• Our database tells us around 27 server requests are made before the homepage is loaded completely. This is a pleasingly low number of server requests and adds to the improvement of website load speed.

Host Server In-Depth

What is a server? It's basically a physical storage device (one that, sometimes, makes up several virtual servers for the cheaper shared hosting) that holds all the files and databases associated with a specific website or websites. Obviously, it's a touch more complicated than that (servers also have processors), but the essence is quite simple - your browser contacts the server, which then sends all the neccessary information and files to your computer. Each physical server has a unique IP address assigned to it, too, for easy recognition.

• The current IP address for this website's server is 160.153.136.3.
• Server seems to be online.

HTTP header and raw WHOIS entry

If you need more raw data, here's what we managed to gather:

HTTP/1.1 200 OK
Content-Type: text/html; charset=utf-8
Cache-Control: public, max-age=60, s-maxage=300
Vary: Accept-Encoding
Content-Encoding: raw
Server: DPS/1.1.12
X-SiteId: 4000
Set-Cookie: dps_site_id=4000; path=/
ETag: 7e0fd3888ef189c2e3f8db29ed0b1ed3
Date: Sun, 29 Oct 2017 07:31:54 GMT
Connection: keep-alive
Transfer-Encoding: chunked