Sunday, October 4, 2009
Link Baiting Techniques for Driving Higher Traffic to your Web Page
Link baiting is one of the most essential part of search engine optimization and can bring about effective changes. Many people believe that this particular practice is a creative procedure of building profitable online ties. There can be many forms of link baiting that the users can utilize. It can be used in forms like puzzles, free tools, photographs, invitation for competitions, articles and so on, in short its uses can be limitless. The technique of link baiting can give good SEO results and can get links to your website in an easy manner. It can be termed as an indirect method for creating back links to your web page. Thus using them is always recommendable for higher traffic generation. The primary work it does is to motivate other sites to link back to your website. If your web page is hosting any promotional offer for a free product for building your marketing strategy, then also you can have direct links to the web page. You are considered as engaged to link baiting when you have back links from other blogs or websites due to interesting articles and informative yet entertaining content that you write. The quality of content that you write whether humorous or controversial is the deciding factor whether you would get link back to your site or not. These pages can be used for providing links to your web page. Even if you have any free offer or product to offer you can use this service for best results. Apart from discussing controversial topics in the articles, you can write free information, give free access to an online software programs, carry out online contest, etc. You can also edit the informational articles on wikipedia which can serve as link baiting technique as you get the chance to insert your informational page like resources. This medium can be used to link back to your web page. The combination of link baiting with link building techniques go hand in hand for constructing stronger traffic generation techniques and search engine optimization strategies. You are sure to get higher web traffic also get good ranking in search engine results. In case you are unable to use the link building and link baiting strategies, then your site may not get optimized in full manner hampering visitors' traffic. Major search engines like Google is trying to neutralize artificial link development techniques. Experts prefer organic link creation for getting good SERP and traffic. Copyright © 2009 SPINX is one of the best Website Design Los Angeles Company offers services like Website Design CA, Website design West Hollywood, Website Design Santa Monica & also across the world. Ratings
Back Links and Google Page Rank
The actual relationship between inbound links and Google Page Rank is not well known in the search engine community. All we have are “expert opinions” which may or may not be entirely correct. This article will take a closer look to find out what is really happening.
For SEO, a technical understanding of back links and Google Page Rank is essential to answering common questions asked by non-technical SEO clients, and to gain insights to improve the current SEO strategy. It has been proven many times, however, that Google PR equates to link popularity, and then high popularity means “importance” but does not necessarily equate to “relevance.” This is why we can see low PR sites appearing high in search engine results.
This article is NOT about improving Page Rank to improve rankings. This will not happen anyway. If you're trying to improve your rank in the search engines, look to improve things that are more important than Page Rank (content, conversion rate, links from topical communities, etc).
However, this article will deeply examine the current relationship between the total amount of links pointing to the URL versus its Google Page Rank. As we all know, Google Page Rank has evolved a lot over the years (especially recently), and what we think we know now could be obsolete.
We can only achieve our goal by conducting a scientific study. This means gathering data, analyzing it, and then making conclusions and recommendations. “A single test is worth a thousand of expert opinions.” In this study we will use the Google PR toolbar value (1 to 10), since the real Page Rank, according to Google, is not visible to the public.
The experiment will be aimed at answering the common questions asked concerning Page Rank and back links:
1. What is the current relationship between inbound links and Google Page Rank? How strong is it?
2. How does Google convert inbound links to Google Page Rank as shown in the toolbar?
3. What is the degree of difficulty of each PR climb? For example, how many links are needed to increase from PR 1 to PR 2? Is it the same amount of links we need to climb from PR 9 to PR 10?
4. How can we use this study to improve the quality of a website's back links?
If you are interested in learning more about this study, then keep reading.
For SEO, a technical understanding of back links and Google Page Rank is essential to answering common questions asked by non-technical SEO clients, and to gain insights to improve the current SEO strategy. It has been proven many times, however, that Google PR equates to link popularity, and then high popularity means “importance” but does not necessarily equate to “relevance.” This is why we can see low PR sites appearing high in search engine results.
This article is NOT about improving Page Rank to improve rankings. This will not happen anyway. If you're trying to improve your rank in the search engines, look to improve things that are more important than Page Rank (content, conversion rate, links from topical communities, etc).
However, this article will deeply examine the current relationship between the total amount of links pointing to the URL versus its Google Page Rank. As we all know, Google Page Rank has evolved a lot over the years (especially recently), and what we think we know now could be obsolete.
We can only achieve our goal by conducting a scientific study. This means gathering data, analyzing it, and then making conclusions and recommendations. “A single test is worth a thousand of expert opinions.” In this study we will use the Google PR toolbar value (1 to 10), since the real Page Rank, according to Google, is not visible to the public.
The experiment will be aimed at answering the common questions asked concerning Page Rank and back links:
1. What is the current relationship between inbound links and Google Page Rank? How strong is it?
2. How does Google convert inbound links to Google Page Rank as shown in the toolbar?
3. What is the degree of difficulty of each PR climb? For example, how many links are needed to increase from PR 1 to PR 2? Is it the same amount of links we need to climb from PR 9 to PR 10?
4. How can we use this study to improve the quality of a website's back links?
If you are interested in learning more about this study, then keep reading.
Google Page Ranked Explained
PageRank is a numeric value that represents how important a page is on the web. Google figures that when one page links to another page, it is effectively casting a vote for the other page. The more votes that are cast for a page, the more important the page must be. Also, the importance of the page that is casting the vote determines how important the vote itself is. Google calculates a page's importance from the votes cast for it. How important each vote is is taken into account when a page's PageRank is calculated.
PageRank is Google's way of deciding a page's importance. It matters because it is one of the factors that determines a page's ranking in the search results. It isn't the only factor that Google uses to rank pages, but it is an important one.
PageRank is Google's way of deciding a page's importance. It matters because it is one of the factors that determines a page's ranking in the search results. It isn't the only factor that Google uses to rank pages, but it is an important one.
Thursday, September 17, 2009
Google Page Rank
Mathematical PageRanks (out of 100) for a simple network (PageRanks reported by Google are rescaled logarithmically). Page C has a higher PageRank than Page E, even though it has fewer links to it; the link it has is of a much higher value. A web surfer who chooses a random link on every page (but with 15% likelihood jumps to a random page on the whole web) is going to be on Page E for 8.1% of the time. (The 15% likelihood of jumping to an arbitrary page corresponds to a damping factor of 85%.) Without damping, all web surfers would eventually end up on Pages A, B, or C, and all other pages would have PageRank zero. Page A is assumed to link to all pages in the web, because it has no outgoing links.
PageRank is a link analysis algorithm, named after Larry Page, used by the Google Internet search engine that assigns a numerical weighting to each element of a hyperlinked set of documents, such as the World Wide Web, with the purpose of "measuring" its relative importance within the set. The algorithm may be applied to any collection of entities with reciprocal quotations and references. The numerical weight that it assigns to any given element E is also called the PageRank of E and denoted by PR.
The name "PageRank" is a trademark of Google, and the PageRank process has been patented (U.S. Patent 6,285,999). However, the patent is assigned to Stanford University and not to Google. Google has exclusive license rights on the patent from Stanford University. The university received 1.8 million shares of Google in exchange for use of the patent; the shares were sold in 2005 for $336 million.
PageRank is a link analysis algorithm, named after Larry Page, used by the Google Internet search engine that assigns a numerical weighting to each element of a hyperlinked set of documents, such as the World Wide Web, with the purpose of "measuring" its relative importance within the set. The algorithm may be applied to any collection of entities with reciprocal quotations and references. The numerical weight that it assigns to any given element E is also called the PageRank of E and denoted by PR.
The name "PageRank" is a trademark of Google, and the PageRank process has been patented (U.S. Patent 6,285,999). However, the patent is assigned to Stanford University and not to Google. Google has exclusive license rights on the patent from Stanford University. The university received 1.8 million shares of Google in exchange for use of the patent; the shares were sold in 2005 for $336 million.
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