In the process of website optimization, data analysis is essential, and it is also the work that takes the most time. Generally speaking, in the entire optimization time, data analysis takes up 70% of the time, while the other 30% of the time is spent on optimization. Work. In fact, many webmasters do not pay attention to data analysis. They wait until there are problems on the website before conducting analysis. In fact, this is very detrimental to website optimization. Problems cannot be discovered and solved as early as possible to avoid damage to the website. Website optimizers must continuously improve their analytical capabilities in their daily work in order to make the road to website optimization go further and more stably.
Data analysis is a difficult but extremely interesting job. You need to master some analysis skills to accurately analyze some problems. For novices, analysis has a certain degree of difficulty, but as long as you use your brain more, analyze more, and exercise more, analysis will The accuracy will also gradually improve, which is very important for future optimization work. It is recommended that novices communicate with other people when analyzing, and the establishment of the plan requires the cooperation of multiple people. There are a lot of data analysis. Today I will briefly analyze the relationship between PV and SEO. I hope everyone can learn something.
1. The necessity of PV data analysis for website optimization
Analysis of pv data will help us evaluate the quality of the website content pages. The higher the pv of the page, the better the page will be and the more it will meet the needs of users (except for login pages and registration pages). If we know which page has a higher PV, we must pay more attention to the content of this page, analyze what content users like on this page, and then provide more content that users like. Through the analysis of pv, it can help us quickly find out the inner pages and directories with high user demand. At this time, we must provide the best entrance resources to these pages with high user demand. For example, the best link entrance on the homepage is Under the navigation, display these high-demand contents at the first time, which will help increase the PV of the inner pages.
2. How to analyze PV data
PV data cannot be analyzed separately, and it is meaningless to analyze PV alone. It must be combined with IP for comparative analysis.
When the number of pv is greater than the number of ip and the multiple is larger, it reflects the high quality of the website content and users like to browse your website, except of course for photo exhibitions, because the click-through rate of photo websites is very high, so it is recommended that you compare it with your peers. Increasing the multiple of pv and ip is essentially to reduce the bounce rate of the page. The bounce rate of the page is determined by the user. In addition to providing content that users like, it is also necessary to avoid spam content and marginal word traffic, because spam content and The traffic of edge words leads to an increase in the bounce rate of the website. The content of edge words is relatively poorly targeted and cannot meet the needs of users well, resulting in a decrease in the user bounce rate. Generally, when the pv and ip are lower than the industry ratio, the website is not healthy, and analysis and adjustment must be made in a timely manner.
That’s all for today about data analysis. Data analysis is a relatively complicated job. In our daily work, we have to constantly analyze our own website in order to surpass our competitors and go further in optimization!
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(Editor: Chen Long) Personal space of the author Chen Xiaofeng