Analysis of how to Do station optimization

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The main point of optimization in the station is to do data analysis, the existing site under the conditions of what users are very concerned about, and then targeted recommendations. In-station optimization can reduce the existing 50% jump rate, so that the site's medium-term keyword rankings play a stabilizing role.

The first thing to know is the existing site in the case of what content is the most users click, then need to be based on Baidu statistics. For example, the statistics of the visited page, the entry page, the page stay time and the page up and down. From the page you can see the site is the highest number of visits, if it is the column page then put this column in the first position, if it is within the page then this page recommended in the homepage. But if a page is very high jump rate is very high, it is likely that the title party or the content of the article does not meet the title so that users jump out. If a page stays for a very long time, but the page provides two clicks very down to the point that the recommendation does not meet the user's needs, we need to consider recommending some other content. For the entrance page very high inside the page needs to be targeted to do long tail keyword rankings, because such a page ranking will be easier, such as the research center of the download section of the tutorial is very large, this view is not only from the station, a large part of the flow from outside the spread of the station.

The upstream and downstream of the page is the frequency of a page into B, C, D, or other pages, and the best tool for downstream analysis of the page is the Google Analytics tool. Click to enter the flow of a page if there is 60% is the loss of instructions 1, a page content does not meet the title requirements, 2, a page content quality is very messed up, 3, a page recommended links do not meet the user needs to browse a page. If traffic a page of traffic 30% into the B page, less than 5 to enter other pages. The recommended quality of other internal chain is very poor, need to do the operation is 1, the B page recommended in the most important position, 1, the replacement of other internal chain recommended content.

If the page's browsing volume loss is very large, reached 90%. (The loss of the page's browsing volume and the site's bounce rate is not the same concept, the site's bounce rate contains all pages of the browsing loss) can explain three problems: 1, the quality of the page is very bad, there are pop-up windows, ads, fonts difficult to distinguish or Web site color art is unacceptable, Many SEO think gorgeous color or black is very non-mainstream, but usually lead to user churn. The second is the home page multiple color font of the site, to convey the information of second-rate websites, which will also lead to the loss of users, because second-rate site is very easy to virus, music will also lead to users quickly lost. 2, the content is very poor, basically search keywords in the home page can not find the content to meet the keyword requirements, then users will immediately close the page. 3, no characteristics, no added value. If the user is looking for an urgent content, the search has clicked a lot of pages did not find the content, in the click of your page also did not want content will be directly closed. For example, I want to search for the content of the cutting machine parameters, I read a lot of pages to know what the content is about the parameters, when I see your page only need to sweep a glance to know if you provided the parameters, if not provided then I will go to find other sites.

Non-connection clicks are also part of the concern, such as button clicks, video icon clicks. Today, I saw an SEO blog site, a picture showing cool 6 player icon, subconscious click, but just a picture is not video. There are many such bad designs that can mislead the user's clicks, and some people will think that misleading clicks will reduce the bounce rate to increase the PV, and conversely misleading clicks will increase the user's browsing costs.

Summary: In-site optimization is a larger part of the user experience, user needs and analyze the user's click data, including connected clicks and disconnected clicks. Clicking More is not necessarily conducive to optimization, such as misleading clicks, the title of the party's click. To determine whether it is beneficial to click on the need to follow the above user needs positioning analysis.

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