Do not underestimate the importance of the right hosting server and software. They are among the contributing factors to executing one of the most important online strategies for increasing website traffic and conversion — a strategy you’re probably familiar with if you’re reading this site. It’s called “search engine optimization.”

This article will provide tips on the proper selection of server and web software platform that seems to be the most effective in contributing to an SEO marketing and technical plan. It will discuss all possible issues and advantages experienced by webmasters and online business owners as well as the SEO in charge.

All of these things should be considered as early in the business planning stage or any periodic website review as possible. This is necessary to avoid any future delays, additional costs and hassles in executing search engine optimization projects.

An A/B Test (also called a split test) is a test in which two versions of the page are tested against one another. The test involves the original page and a variation of the page. The variation can contain ANY changes. A/B tests are perfect for beginners, for quick tests and for websites with low traffic. You can get data very quickly in comparison to a multivariate test.

A Multivariate Test is a test in which page variables such as headlines, calls to action, paragraphs, buttons, etc are tested against each other. Google allows up to 1000 multivariable tests at once. For example, if you have six headlines and want to test three variations for each, you can set up: 6 x 6 x 6 = 216 tests. Multivariate tests require a long time to produce data, but are much more effective than A/B.

The Biggest Question of All – Does Google Website Optimizer Affect Search Engine Rankings?

If you do search engine optimization, then obviously this is the biggest question. Why? Because Google Website Optimizer (let’s call it GWO for short) serves different pages to different users (up to 1000 variations). How does the Google bot behave towards it? What if it follows a link and gets a different page all the time? Will I lose rankings? Those are the questions you should be asking.

Here’s a clear answer by Tom Leung, Business Product Manager of Google Website Optimizer team in an interview with conversion guru Brian Eisenberg:

Bryan Eisenberg: “Any time you do, any kind of multivariate, A/B testing, what will the Google search engine think of the page?”

Tom Leung: “Using the website optimizer in and of itself will not affect your Google search engine rankings, because the original content will still be there and be indexed as if you weren’t testing. However, if you use the test and if you find ways to give a better customer experience and then you implement those changes, then you should have every reason to believe that it will be reflected in a positive way in your rankings. Using the tool in and of itself won’t change your rankings one way or another.”

The answer is loud and clear. I have not tried testing the index page, so if you did, please let us know your experience (even with that guarantee I am VERY wary of testing the index, since it’s obviously the most important page of the website).

Also, here is a quote from ThreadWatch, quoting Google:

“Website Optimizer is designed to keep your original content visible in the HTML source code of your page at all times. As a result, your original content is visible to crawlers, which means there should be no major impact on search engine ranking.”

Apparently GWO and Google Search are integrated, and Google knows when you’re testing and won’t penalize you (an extremely WILD guess). On the other hand, once tests are successful and you implement changes to the original file, don’t be surprised if rankings change, either positively or negatively.

google included time – the first 4 days after the update Update is updated once every seven days (top-impact) Big Update is updated monthly (top-impact) PR value End Update 3 months update time (updated September 20 and so on) because there are different server to update the total time for the week there are two kinds of reptiles GOOGLE One is included reptiles, reptiles are specifically included in this site useful.

There is a GOOGLE Google researchers have discovered a very simple way is to look GOOGLE several mirror sites are the same, because inGOOGLE updateDuring his stay, as always www2.google.com or www3.google.com updated test site, during which the latter two sites the number of pages in the index and the main site will be different. Example, as we move from www.google.com, www2.google.com, www3.google.com there is a kind of situation: three site search with a keyword, the number of results obtained are not the same, which showsGOOGLEIsUpdate.

GOOGLESuch large-scale renovation in foreign countries is known as GOOGLE DANCE (dog dancing), there is a special help us to check whether he is dancing site http://www.google-dance-tool.com This site provides a
Tools, through this tool, we only need to enter a keyword and then click a button, you can see the three mirror sites GOOGLE search results, it is to facilitate our comparison. In the 2009 National Day holiday period, Google update should give me the exception of the play, looking forward to the arrival of Google updates.

Baidu updated – as a Webmaster, from theSearch EngineWeb site traffic flow is an important part of one of the search engine updates so owners of particular concern, always hope that their sites included in Baidu, more and more every day site, terrible trouble, we grasp what Baidu included the approximate time do not update the site every day. Baidu contains a large updated monthly, 11 and 26, especially 26 to update the sharpest, K stations are also the largest. Small Update Time: every Thursday. Updated all the time 4:00. General 4:00 update, the impact of site traffic are Mosha was only at the noon time, Baidu keyword search on the site re-adjustments, would there be traffic on the major changes have increased the natural flow naturally down.

Another is to increase the ranking of the reptile, this reptile is a comprehensive response to connect with the calculation of the reptile, and the stability of the rank and position is very important. Therefore, some new stations, when included in the rankings just not very good is bad, this is because the first one to climb
Insects reasons, but the site lost Do not worry, the real point to be ranked the second after three months, when the reptiles came to take effect.

Yahoo is updated daily time is 6:00-7:00 am, a general search your web site contains the previous day was found to reduce later, in over 30 minutes will find that included increased. About one to two months or so is updated on a relatively large dynamic and static. Yahoo included: general time is 1 month or so, but if you stand a good framework, the code in line with w3c and original content, then certainly within 10 days will be included, with google

Actually, the most important thing is to improve the quality of the site can not be a site design, or the content, or the page code, need to be well optimized. The final comments from the site’s visitors, the content is not to meet the needs of users.

Initial Value of the Pages

Each page is assigned an initial value, equal to a fixed number. For the purposes of this example let’s use one as the default value assigned to pages. With the effect of the dampening factor, that value goes down to by 0.15 to 0.85, thus the default page rank of each new page (or page without any inbound links) is 0.85.

This also means that new pages (or pages without links) can pass 0.85 of total page rank to other pages. It also means that by increasing the number of internal pages and by directing their links to the most important pages, you can increase your PR.

For new pages to be awarded a default page rank score, they need to meet certain quality qualifications in terms of content, format, keywords etc. In other words, you can’t create a bunch of duplicate/blank pages and raise your PR.

Page Rank Formula

I personally get a sleeping reflex at the sight of equations and formulas, but if math or physics is one of your strengths, check out the page rank formula below.

PR(A) = (1-d) + d (PR(T1)/C(T1) + … + PR(Tn)/C(Tn))

Some of the values explained:

• PR - page rank.
• A – page A
• (1-d) – dampening factors.

Conclusion

Some of the key points to remember:

• Page rank is a measure of importance, NOT relevancy
• Tool bar page rank does not give an accurate representation of page rank.
• Each page is given a default page score of 1 (or whatever Google uses internally).

In the next article we will go into detail as to how page rank works on the site wide level, the distribution of PR between pages, how to highlight important PR pages, page exclusion, the use of no follow in page rank sculpting and more.

The Dampening Factor

Page rank is built on the principle of following links, resembling a random Internet user who follows all links he sees. The more links point to X page, the higher the chances of that random user finding the X page by following all the links he sees (hence links provide a clue to the importance of each page).

But what if the random user gets tired of following all the links and closes the window? This is the purpose of the dampening factor in the page rank algorithm. It comes in handy exactly at times when the user becomes “tired” and stops following the links (or stumbles onto pages that don’t have any links to other pages).

According to Wikipedia, if a page has no links to other pages, it becomes a sink and therefore terminates the random surfing process. However, the solution is quite simple. If the random surfer arrives at a sink page, he picks another URL at random and continues surfing again. When calculating page rank, pages with no outbound links are assumed to link out to all other pages in the collection. Their page rank scores are therefore divided evenly among all other pages. In other words, to be fair to pages that are not sinks, these random transitions are added to all nodes in the Web, with a residual probability of usually d = 0.85, estimated from the frequency that an average surfer uses his or her browser’s bookmark feature.

Pages Voting for Themselves

There is no actual proof as to whether pages can vote for themselves (i.e. URL site.com/page.html has link to site.com/page.html). The only thing we can do is guess that this sort of vote is impractical and is discounted by Google.

Page Rank Flow

If a page with PR 4 links out to eight pages, than each page that received a link gets 0.5 PR points. If that same page with links to only four pages, then each page gets 1 PR point. The distribution model is equal, meaning that points are equally divided between pages. The fewer links there are, the more page rank power is passed and conversely, the more links there are, the less PR is passed to all pages.

Not that pages do NOT lose page rank when they link out. Linking out merely distributes page rank values. For example, when a page with PR 5 links out to 10 websites, it does not lose its page rank, it simply distributes it, while keeping the actual value to itself.

More Than One Vote from a Page

We can assume that Google only counts one vote from a unique page and discounts duplicate or triple votes. For instance, if X page with a page rank of 4 has two links to A and one link to B, then the distributed page rank is 2 per each page, discounting the duplicate link.

This is an assumption. For further proof you can run your own tests.

• Toolbar page rank (TBPR) can be tracked using the Google toolbar. Toolbar page rank shows results which are several months old. TBPR numbers (from 0 to 10) are heavily inflated, since real PR numbers are not linear. For instance, a page with a PR 8 would logically have twice as much PR as a page with PR 4. In reality its page rank is usually several times more.
• Real page rank is a number we can only guess, since Google is a black box when it comes to disclosure. Imagine a rising slope, which increases until it reaches a vertical position.

Toolbar page rank is calculated using ranges of real page rank. For example, imagine that the maximum Google PR value is 1,000,000. Toolbar PR 1 equals a range of 1 – 10. Toolbar PR 2 equals a range of 10 – 50. Toolbar PR 3 equals a range of 50 to 1000. Toolbar PR 4 equals a range of 1000 – 10,000 and so on, until finally toolbar PR 9 ranges from 600,000 – 1,000,000.

As you can see, going from one to two on toolbar PR is far easier than reaching 6 or 7, as the actual numeric values for those ranks are 100 times higher.

If you ever played any role playing games (such as World of Warcraft), you will know that the earliest levels are easiest to reach. As you progress to the upper levels, it gets harder and harder to go up a level, because the overall score requirement goes up as well.

As you can in the example from America’s Army, level requirements go up as you progress. Toolbar page rank relates to real page rank in a similar way. On the toolbar, two pages may have a rank of 8, but their real Page Rank (score) is different; a page with a higher real PR number will win on search results.

Also, keep in mind that toolbar PR is updated every few months, while real page rank is constantly renewed and recalculated, making toolbar page rank sort of a “snapshot.”

Page rank was invented by Google’s co-founder Larry Page (hence the name Page Rank) as a way of determining the importance of web pages. At the time page rank was invented, search engines relied on text analysis, meta tags and on-page criteria, all of which were easy to manipulate. Early search engine optimization companies employed coders who reverse-engineered algorithms in order to produce high-ranking pages at will. Page rank made it possible to calculate the importance of each separate page on the web, rendering many on-site SEO techniques useless.

For more information on page rank check the following sources:

http://infolab.stanford.edu/~backrub/google.html

http://en.wikipedia.org/wiki/PageRank

Relevancy vs Importance

It’s important to understand that page rank does not compute relevancy, only the importance of each page. When a user makes a search query, a different algorithm calculates the relevancy of page, while page rank simply selects the most important result.

User enters the search query.
Google selects results that contain the search term (aka keyword).
Selected results are sorted by page rank from the most important to least important results,
Results are displayed to the end user.

Different algorithms are responsible for relevancy calculations. From an SEO perspective, keywords in anchor text, title tags and content are some indicators of relevancy.

Then, when a website can not perform soundly in search engine, your customer will not access to your website in time, which will result in: 1. the loss of a potential client;2. the client won by your rivals.