Optimization of the long tail keyword in the education website of SEO optimization

SEO is a long talk about the problem, has been the medical industry's website optimization is the most competitive. As everyone knows, in the present many industry areas are competitive, and the competition is more and more exciting, if you do not advance, you will die very miserably. Today, we share with you the education site how to properly decorate the site's long Tail keyword optimization page.

From a lot of Webmaster's website optimization experience, optimize the target keyword can be very good to bring traffic to the site. However, we think about, if we spend a few months to do a more competitive target keyword, when we finally do this keyword Baidu or other search engine home, we take for granted will Xing XI if crazy, but later found that this is a fundamental no flow of keywords. On the home page almost no clicks, how can you get traffic?

Because the long-term goal of such a key does not bring traffic, our webmaster are ingenuity, how to allow the site to obtain more traffic, so long tail keyword appears.

Baidu Encyclopedia is such a definition of long tail keywords: the site is not targeted keywords but also can bring the search flow of keywords, called long tail keywords. Long tail keyword is relatively long, is often 2-3 words, or even phrases, exist in the content page, in addition to the title of the content page, but also in the content. The search volume is very small and unstable. Long tail keyword to bring customers, conversion to the site product customer's probability is much higher than the target keyword. There are a large number of long tail keywords of large and medium-sized Web sites, its total flow is very large. Long tail keyword Basic attributes are: can be extensible, targeted strong, wide range.

Next, we will be in the education industry in a small area to do analysis how to do a good job in the pages of the long tail keyword

Case study: Shenzhen Peng Hai Chen Investment Development Co., Ltd., the company is a specialized institution for the study of immigrants. Company website is a four-year domain name of the old site, but Baidu traffic has been not very good. Mainly because of the low amount of Baidu's collection. The company has been targeting foreign American immigrants, Canadian immigrants, and Australian immigrants, so their target keywords are these three.

After Baidu search Appeal keyword found that the search volume is millions. To optimize the home page to the home page is very difficult, even if the site optimization to Baidu home page, it may not be able to bring good traffic, because of the possible site design and interface style is not what users see. Therefore, for the appeal of some issues, taking into account the site is mainly based on content, for the use of long tail keyword Baidu optimization is more desirable.

After analysis found that the appeal of the three key words of the target keyword search volume is also more than millions. But if in the optimization process, we reasonable distribution of keywords, do a good job in the Web site long tail keyword density, or can bring traffic, so according to this idea, carried out the site's internal page long tail keyword optimization.

Inner Page optimization method:

First: the website title best has the keyword and the long tail keyword.

Second: The website article inside the page must contain the long tail keyword, the density control is good, generally in 2-3.

Third: The website completes inside the chain construction, the article tail can set the related long tail keyword article recommendation to read.

Four: The best article on the left Baidu share button, so that you can share the article out.

Five: The website completes the Illustrated,

The above sharing is the education of immigrants within the site page long tail keyword optimization skills, in this case, we can analyze the comparison, in other areas is also possible. Of course stationmaster want to do long tail keyword, still see oneself skill. Well, today we will give you an analysis of this knowledge.

Technical support: Shenzhen Peng Hai Chen Investment Development Co., Ltd. Author: Meng Tianlin

Company website: http://www.evisa.net.cn