The most direct way to analyze the success of a website is naturally to analyze the statistical data on the website. But data analysis is obviously a headache for all webmasters. After all, analyzing data is a very boring job. Many webmasters would rather do more external links than deal with boring data. However, it is impossible to know the details of the website without analyzing your own website data, so you will have no clue on how to optimize and promote the website. Therefore, no matter how boring data analysis is, webmasters must learn data analysis skills so that they can always control the effectiveness of optimization and promotion. Today, the author will briefly talk about several data analyzes that webmasters need to do well.
1. Traffic source analysis
Webmasters check statistical tools once a day, but many webmasters only look at the traffic and PV value of the statistical tool and then turn it off. Many webmasters judge the quality of the website's traffic simply based on the ratio of traffic to PV value. In fact, this is very bad. Especially when you want to analyze the details of the website, it is not accurate to just look at the traffic and PV value, let's just look at the traffic. Simply looking at that traffic number will only give you an idea of how much traffic there is each day, nothing more. But by analyzing the source of traffic, you can know which keywords users use to access the website, and what channels users use to enter the website, whether it is search engines, self-promoted links or bookmarks. Therefore, when analyzing website data, it is not enough to just look at the number of traffic. In-depth analysis of the source path, source place, and source channel of this number is the most accurate data analysis of the source of traffic, and this is also used as a statistic. There is no room for sloppiness in data analysis.
2. Analysis of website visited pages
This step of data analysis is very critical. If a webmaster wants to know which pages on his website are the most popular among users, he must naturally analyze which pages users visit. This can also serve as a reference for webmasters on how to update content that users like. Then when the webmaster performs data analysis, he can easily know which pages his website users visit by analyzing which pages are visited by the most users, which pages most users stay on, etc. The content is more interesting. Naturally, when updating the content, we can focus on this aspect of content update, and then guide users to other pages through hot and cold stimulation. Therefore, the analysis of the visited pages of the website is very important. This is very helpful for how to update the website content, what content to update, which pages in the website users like to browse, etc.
3. Analysis of website total PV value and per capita PV value
PV value has always been a major reference standard factor for judging the quality of website user experience. No matter what kind of website it is, the higher the PV value, the better the user experience of the website. This is the default of all webmasters. Of course, if you only look at the total PV value, it is difficult to analyze whether the user experience of the website is good. The statistical tool only counts the pages viewed by all users who visit the website. To analyze the user experience, you should focus on the per capita PV value. For example, if two users visit the website at the same time, one visits ten and the other visits two, then on average each person visits six pages. This does not determine that the user experience of the website is not good. It can only mean that the website has not given the second A user provides the information he needs. Therefore, the level of PV value is very critical to judge the quality of user experience, and the search engine determines the quality of user experience not by the total PV value, but by the per capita PV value. After all, the total PV value can be brushed out. , and it is more difficult to increase the per capita PV value. Therefore, when webmasters do data analysis, they must not only look at the total PV value and ignore the per capita PV value data.
4. Analysis of user return rate
By analyzing whether the website has a large number of repeat customers, the webmaster is actually analyzing whether the website is popular. Successful websites have a large number of repeat customers, so how do you determine whether your website has repeat customers? We can analyze the user return rate in the statistical tool. From the analysis of the user return rate, we can get two data. One is the website Having a large number of repeat customers shows that the website has a very high value, and the ranking and weight of the website with repeat customers will not be bad. Second, the website has a large number of repeat customers, which shows that the user experience of the website is very good, which is naturally very helpful in improving the ranking and popularity of the website. Therefore, when doing data analysis, webmasters must be good at analyzing whether the website's user return rate is large. From this point, we can know whether our website is attractive to users and whether the content can give users the information they need. In this way, we determine the methods and goals for how to optimize and promote ourselves in the future.
5. Analysis of visitor regional distribution
By analyzing the visitor distribution areas in the website statistics, we can use this data to determine where our website users are concentrated, and then we can focus on the promotion of these areas when promoting. For example, if the users of your website are mainly concentrated in Guangdong, Shanghai, Shenzhen, and Guangxi, then this will give you a very clear indication of your promotion destination. When promoting, you can search for forums and blogs related to these places. , classified information is promoted more effectively. Therefore, by doing a good job in data analysis of the regional distribution of visitors, you can know how to promote the website more effectively, and it is more conducive to discovering potential users of the website.
Still the same sentence: Data analysis is a boring job, but it is also very important. Because if you want to understand the details of the website, you naturally need to rely on the data in statistical tools. Then the webmaster can clarify his own optimization methods, promotion methods and a series of optimization methods by analyzing the statistical data. Therefore, even if the data analysis is no longer No matter how boring it is, the webmaster should calm down and do this step well. This article is exclusively provided by http://www.bengou.cc Bengou Cinema. Please indicate when reprinting, thank you!
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