From the optimization of coffee machine industry station-analysis of data analysis on the role of Web site SEO

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When it comes to website optimization, it's not just about promotion and SEO technology, its data analysis is also as a seoer personnel essential skills, when a website in the course of operation, want to keep abreast of its operating effect or the industry competitor's new trend at this time will be to the website data analysis, from the data to understand the site operation effect, From the data to understand the real needs of users, master the dynamic changes of users, at any time to adjust the optimization strategy so that to achieve the maximum site optimization results, enhance the site keyword ranking, improve the user's conversion rate, you can say that the data analysis is to adjust the site strategy optimization vane, is to understand the user In order to let you know the importance of it more clearly, the following is the current optimization on the sale of coffee machine Web site as a case in detail.

The so-called data analysis I think is a complicated and demanding one thing, why do you say so? Maybe some stationmaster will have such doubt, in the author's opinion data analysis can be understood as two aspects: 1. Soft data analysis. 2. Hard data analysis. such as: in the preparation of the site to the competitor analysis and research and to make good data statistics, to do a good job of keyword analysis should also be done to data statistics, users need to conduct research and analysis, this point to really do, not only to the whole industry is very familiar with, And also need a lot of theoretical knowledge to guide in-depth understanding of consumer behavior psychology, etc. I think it is soft data analysis. Note: For the article said that the data analysis is divided into two aspects of the author's personal understanding, does not represent the general public such as the Webmaster friends to give a praise to the soft data analysis mentioned here, the following author is dedicated to share the so-called hard data analysis on the role of SEO. The so-called hard data I think is through a certain data very intuitive display analysis results, such as: the vast number of webmaster friends are often concerned about IP, PV, UV and through the flow statistics show other data such as: The user's time to stay and users to search for what keywords to reach the site. Through the analysis of these data on a Web site SEO what is the role of it? Please see the following decomposition.

I. Web site IP data analysis

The IP number of a website is the pursuit of every webmaster, it can also be said that each stationmaster pursues the second ultimate goal < note: The author thinks the first ultimate goal is the conversion rate > Everybody knows the higher the IP number its conversion rate is bigger, also explained this website popularity, has given the user the good experience , they are proportional to the relationship, so the author of the general analysis of data every day is the first to see the amount of IP, I believe that other webmaster is the same.

Two. Website PV data Analysis

The so-called P V is the number of pages users browse a site, simply speaking, the user's browsing depth. If a site's PV volume is very high, it shows that the site's stickiness is better, the user's stay in the site longer, but also directly reflect the site to the user experience is relatively good, since the user experience good natural on the search engine experience, Then the search engine is likely to give the site good rankings and traffic. If the PV volume is less then the site's bounce rate is high, the user experience is not good, then should adjust the optimization strategy, increase the number of PV. As the author of the current optimization on the sale of coffee machine Web site daily PV browsing is basically 3012PV in the peer comparison is very good, such as the station's relatively low PV, the author will increase the Site page optimization, do the internal structure optimization to increase PV volume. As shown in the following illustration:

Three. Website UV Data Analysis

The so-called UV is the number of independent visitors, through the data can be very direct response to the increase of independent new visitors every day, if the UV data more also shows that the site to the user experience is relatively good, the optimization strategy is the right direction. If the number of UV is less then you have to adjust the site optimization strategy.

Four. Through the flow Statistics Tool keyword routing analysis

Through the webmaster traffic statistics can also analyze what the user is through what search engine, search what keyword came to the site, this can be very intuitive response to the industry users of what search engine to search, but also to understand the user's habits to search what keyword this is particularly important. For example: The author in the previous optimization on "Tea packaging" site its users are accustomed to 360 search engines, followed by Baidu, Sogou, search and so on. The current author of the optimization on the sale of "coffee machine" site from the user more than Baidu, followed by Google, 360, and so on, when the author understand here, can be optimized for Baidu's guide on the line optimization.

Users to search for what keyword came to the site, this is particularly important to adjust the optimization strategy of a website, such as the author in the optimization of "coffee machine" this site, many users will search vegetarian "coffee machine Repair" "Home Automatic Coffee Machine"

"Coffee machine What brand" and "How to use coffee machine" and so on, when the author understand the user's search behavior, then can be targeted for optimization, to these long tail keyword to write original article to do the internal page optimization.

For Web site data analysis on the role of SEO, I simply share with you here, hope that the above sharing can give some of the novice webmaster some inspiration. At the same time, we wish that the flow of traffic is soaring.

This article original: Yang: Reprint please indicate from Shenzhen Malston coffee machine Net: http://www.micoffee.com/news.asp?id=442 respect original works copyright for Xie.