The rule of the long tail word ranking of medical website optimization

Source: Internet
Author: User

March 5, 2012, Monday the author in the analysis of the Medical Industry website optimization techniques, found a common characteristics, medical sites are many parts are long tail word ranking, and the main keyword ranking also have, but as long as a lot of long tail word ranking site traffic is very good, A small number of long tail words ranked and the main keywords ranked general website traffic like. Here, take a Beijing skin specialist Hospital website as a case for everyone analysis.

In this picture can be clearly seen to the site of the day IP can reach 1000-2000, but the site contains only 1800 of the page is believed to do the medical industry friends know that the medical industry site included 1000-2000 of the page is said to be in the usual, Next look at a picture below can let you understand why the website only contains 1800 pages of Web site traffic is so.

You can look at the picture to do the reality of a number of long tail keywords are ranked in the home page, there are about 300 words around the rank! Then it is conceivable that the site's traffic is mostly caused by the long tail word. So how did they do so many long tail rankings? There are Hupebin below to analyze it.

In order to let friends can understand, I found a long tail word baidu, "contact dermatitis how to do" as shown in the figure to see very clearly out of Baidu bid ranked second outside the long tail keyword is! So simply looking at a picture does not know the optimization rules of others.

  

Although we can not see his internal optimization rules but the first thing we have to master is other people's external, only TSE can win, the picture shows is his address of this page, you can see that this page has a PR and there are also outside the chain can be imagined, This site not only for this page did the external optimization also for the interior to do the optimization techniques.

This article is reproduced by Hupebin, please indicate the author information exchange QQ Group: 147938270



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