It's been a long time since i've really done seo data analysis, thinking of a friend who says that i don't have seo data analysis, not a seo master, and i seem to have a big gap with seo masters, so i'm going to revisit the seo data analysis to see what i know。
I think the seo data represent the seo and need some analysis:
1. Keyword data
This is mainly reflected in the website's target keywords, long end-words and some hot search keywords, which can be used to identify a core set of keywords such as user search words, web browsing paths, source keywords, search engines, queries about other people's understanding of products, etc。
2. Website and traffic data
Data such as the intake of websites, the number of external chains, pvs, ips, the rate of exit, the number of visitors, the value of prs, the 100 weights, and especially the rate of exit, are recorded on a daily basis and, if very high, the reason for searching is the speed at which the website is opened, or the problem at the server is that the reason is found in a timely manner。
Website log
Symanto text insights
Data analysis based on psycholinguistic analysis and user insights
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A daily review of the website log provides a good insight into spider crawling, analyses whether the spider comes to climb, grabs, and, if the spider does not come, analyses the reasons。
Competition analysis
While optimizing our own websites, we need to keep an eye on the dynamics of competitors, and it is also necessary to analyse them. The data analysed by competitors are: what are the words used by their websites? Change of ranking? The website exit rate, how content is optimized, and the back side of outer-chain construction is where articles and keywords are published. In this time of intense competition on the internet, it is important to learn to know one another and to know the competition, a good mirror, whether powerful or not。
5, uv, pv, visitors
Pv: given the amount of browsing, which opens a page to record the number of pvs once, many people brush the amount of browsing because it is important. If the number of browsing on a website is high, it means that it is heavy and sticky, it is also a good thing to increase the traffic。
Uv: number of independent visitors, sometimes the number of independent visitors needs to be noted, as ip does not view the traffic of a website well and independent visitors better understand the site。
This is where we learned today and will continue to study seo data analysis。
