Web site Optimization Tutorial Ten: Data analysis

Source: Internet
Author: User
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Today is the lunar 2011 Month 28, Tomorrow is the New Year's Eve, I wish you a happy Spring festival, I have said, must be completed before the series of writing, today overtime to be completed, fortunately, finally completed! Although there are two edits through the audit, the integrity of the series a little loss, but this is my little effort , I hope to get your approval, the preceding 9 lessons, "Domain name choice", "Space Choice", "Program Selection", "website basic settings", "Promotion method choice", "Keyword optimization", "Inside Chain optimization", "404 Page and Robot settings", "Station outside Optimization", today, We conduct the best chapter, is the website data analysis. For many webmasters, data analysis is a particularly boring job, which also makes many webmasters would rather do a few more outside the chain is not willing to the boring data. But I suggest that beginners learn Web site optimization, do not analyze the data of the work generated fear. If not data analysis, then to master the effectiveness of Web site optimization, the quality of the user experience and so on are not good. Therefore, the novice to complete learning site optimization, natural data analysis also need not. So what data analysis do you need to learn as a novice? Today I bring you the Tenth lesson: data analysis.

Data analysis of Flow source

In Novice learning data analysis, the source of analysis flow is the first data analysis step. and through the analysis of the source of traffic so that we can know where the traffic is mainly focused on where the site target user groups are mainly distributed in which places, users through what access to the site and so on. And this to master the site optimization effect is also playing a very important role. Therefore, the Novice learning data analysis, the first to analyze the source of the flow, such as the site's traffic is mostly through the search to get traffic, each source of traffic in addition to search and what source, so that you can master the site optimization should be how to modify. So in data analysis, it is the first step to learn to analyze the source of traffic.

Second, the Advertising CTR data

The goal of most webmaster stations is to turn the traffic into revenue, and there is a need to advertise on the site. Then the number of clicks is also within the scope of the data analysis, so the novice should also learn how to analyze the number of ads, by placing different types of advertising to analyze which type of advertising is the most suitable site. Through the click of the ads can let us know what kind of ads and the content of the site most matching and conversion rate is higher, to improve the income of stationmaster is indeed a very important data. So, whether novice or veteran webmaster, should learn how to analyze the ads click-through to get the maximum revenue value, this is the most practical site optimization data, but also every webmaster should learn the data analysis ability.

Third, the user jump rate

Through statistical data to analyze how the site optimization effect, nature will be linked to the user's bounce rate. Relatively speaking, a website if the jump rate is too high, will naturally cause the website user experience bad phenomenon. No matter from which aspect, the user searches a keyword to enter the website, all means that the user has this kind of demand, hoped that may find in the website to want the information. But the site can not meet the needs of users when the user did not browse a few pages on the exit of the site, which will result in high jump rate, and this is the site rankings and user experience as influential. Therefore, the novice in the study of data analysis, the need to analyze the user's bounce rate is high or low, so you can simply judge how the site user experience, and only the lower the user jump rate, the improvement of the site optimization effect is the better.

Iv. website PV Value

In addition to analyzing the bounce rate, novice learning site optimization, but also need to know how to analyze the PV value of the site. The PV value of a website has two, one is the website total PV value, one is per capita PV value. And the novice in the data analysis process, two PV values are the same important, through the analysis of total PV value we can know how many pages the site users have browsed, through the per capita PV value can let us know that all users average each browsing the number of pages, and this is the most accurate analysis of the user experience. For Web site optimization, the total PV value just a little attention on the line. and the emphasis should be placed on the per capita PV value above, after all, the higher the per capita PV value, to prove that the overall user experience of the site the better, and search lead to judge the user experience is not based on the total PV value, but per capita PV value. So novice in learning data analysis, to learn the detailed analysis of the PV value of the site, through the height of PV can let us know the site's overall user experience.

Keywords Source analysis

This is the main analysis of the site optimization effect of an effective method. Through statistical tools in the keyword source analysis, so that we can know what users are searching through what keywords into the site, so you can search for more keywords according to the source of traffic related keywords. and through the source analysis of keywords, we can also know the site in search cited the ranking of each keyword and its flow, although most webmaster tools support flow query, but such tools are only estimated, not accurate, through statistical tool data is to make the flow of keywords more accurate. Therefore, the Novice learning data analysis, the source analysis of keywords must be mastered, which is related to whether you understand the site optimization of the effect of the promotion of one of the important factors.

For data analysis, the webmaster to know what factors are related to the survival of the site, which factors are indispensable, and the webmaster in doing data analysis, do not feel boring simple analysis of a few hastily, so for their own master site optimization trend is not friendly. and also not conducive to their own optimization methods to make reasonable changes. In particular, the novice in the study of data analysis, do not think that the analysis of data is useless, in fact, you need to know how to promote the results of the analysis needs to be known. Therefore, the Institute of data analysis is a very important site optimization, but also very boring, webmaster you have to withstand the challenge, can withstand loneliness. This article by the Emergency Clothing (http://www.jf59.com/) exclusive feeds, reprint please specify, thank you!

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