From the website data analysis to find SEO optimization direction analysis

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In the site optimization of the road, a lot of webmaster go through many detours, in particular, some of the webmaster after the hardships, the realization of the site rankings of the big outbreak, ready to start harvesting flow and gain profits, but found that although the site rankings up, but the site's traffic is not as much as imagined, even if it is to enhance the site's traffic indicators, But these flows did not bring a very good conversion rate, so that many stood the sky happy one. One important reason for this problem is the lack of careful analysis of Web site data.

First, the website data is regularly recorded on a daily basis. This is the first step in the analysis of the Web site data, because the premise of the site data analysis is to have sufficient data for analysis, this data can be recorded through the Excel table, or through a simple data analysis software to deal with, but the prerequisite to record the data. The main data collected are the PV and bounce rate of the website as well as the IP data and the stay time of the users on the Web page.

Second, carefully understand the different data reflected in the connotation. The number of IP is very intuitive, represents the number of visitors to the site, usually the more the better. And the site's bounce rate is mainly refers to the site users open your site immediately after the data closed, if a user through the search engine to find your site, immediately shut down, then the jump rate is 100%, if on the basis of other operations, such as open the relevant page, then the jump rate is 0%, Usually the lower the bounce rate the better. While the user's stay time is mainly refers to the user on a certain page of the time, usually stay longer the better.

Third, adjust the optimization direction through data analysis. This is the most critical step, but also to the Web site data analysis to sublimate the core. If found that the site's high jump rate, usually reflects two aspects of the problem, one is the user search key and Site page has no relevance, the user opened immediately after the shutdown. The other is that although there is a certain correlation, but the content is boring, and did not appear in the search results page so good, causing users to immediately shut down. So through the analysis of the bounce rate, you can guide the webmaster to improve the content of the site, so that meet the needs of users, thereby reducing the site bounce rate, which is to enhance the site traffic conversion rate key.

It is through the user Stay Time analysis to guide the content page optimization, the key to this optimization is to provide users like content, and provide a very rich within the chain, and the content between these links have a certain degree of relevance, guide users to comprehensive understanding of content to meet the needs of users, This will be able to highlight the site within the chain optimization and content quality optimization of the core work.

and the IP data volume and PV value analysis is mainly to view the weight of the site, if these data changes very large, indicating that the site rankings have instability, the construction of the outside chain and other details need further optimization, so as to gradually improve the stability of the site rankings, and ultimately improve the site's optimization effect.

In a word, the Web site data analysis is an important work, from which we can understand their own site in the optimization of the deficiencies, and accordingly to improve, so as to continuously improve the site optimization effect, and in the optimization work can play a multiplier effect. This article comes from DJ Dance http://www.djye.com, reprint please keep author link, thank you.