E-commerce SEO: What data does SEO need to analyze every day?

Data analysis helps us to sum up some experiences, so as to improve our income better. Then, according to my observation, very few people really understand and are willing to spend time analyzing the data. So what data can we analyze? \x0d\\x0d\ 1。 What data can be analyzed in SEO data analysis \ x0d \ \ x0d \ SEO? Number of entries, number of related fields, number of reverse links, etc. , as well as the number of friendship links, the number of individual links, the number of foreign domain names and other data, if these data are analyzed for a long time and made into tables, a lot of SEO experience will be summarized; There is also the data analysis of the log, how many pages spiders climb every day, which pages they climb, and want to really do a good job in SEO, all of which must be analyzed. \x0d\\x0d\ II。 Ad Click Data \ x0d \ x0d \ Let's talk about taobao guest Single Page Station first. Taobao guest single-page station usually takes a program casually, and then hangs an advertising page template above the home page. Now, there are generally more leaderboards. After the traffic from the website, have you clicked on the advertisement? Which one is it? Most webmasters ignore these data, and some. Some people don't know how to count these data. To put it simply, we can link this advertisement to a page of the website, and then this page will jump to Taobao, and put traffic statistics on the jumped page, so that we can count which product has the most clicks, and we can make appropriate adjustments to the product according to this click. \x0d\ Advertising data statistics of traditional traffic stations are also very important, but the methods are different. Take adsense as an example. As far as I know, most people will analyze the data of various websites for the convenience of using one channel to build advertisements. However, it is impossible to analyze which locations click best and which types of advertisements click the most. Therefore, we'd better set up an advertisement in one channel and then analyze the data. \x0d\\x0d\ III。 Traffic statistics \ x0d \ x0d \ As long as you are a webmaster, what you must do every day is to look at traffic statistics and see which keywords are coming to traffic. However, most webmasters will close the web page after reading these two items, and few people really analyze the data seriously. Nowadays, there are more and more traffic statistics functions, which provide us with a lot of data. Unfortunately. Many people have written articles about Baidu's statistical bounce rate before. Personally, I think the most practical place of Baidu statistics is which pages users enter our website, which pages they pass through and which pages they leave, all of which are presented in the clearest form. These data are very helpful for us to optimize the page and improve the user experience. \x0d\ Of course, there is still a lot of data to analyze. Those who bid for Baidu will analyze the value of each keyword through a large amount of data, and those who do Baidu online alliance will analyze what price can bring how many clicks and how many displays, so as to get the maximum benefit. To be a blog sprocket, we need to analyze how each blog is linked, how many blogs are linked together, and so on. No matter what we do, we need to analyze the data, in order to improve ourselves as quickly as possible and get the maximum benefit.