How to analyze SEO data

I have been doing SEO for a long time, and I have never really done SEO data analysis. Just like a friend said, I don’t know SEO data analysis, and I am not an SEO expert. It seems that I am still far away from being an SEO expert. There is a gap, so today I want to review SEO data analysis and see how much I know.

I think seo data is reflected in SEO and some data needs to be analyzed:

1. Keyword data

This is mainly reflected in the target keywords of the website, long-tail keywords and some hot search keywords, etc. These words can be used by user search terms, website browsing paths, source keywords, search engines, and asking other people for their understanding of the product. Wait to find a series of core keywords.

2. Website status and traffic data

Record the website’s included volume, number of external links, PV, IP, bounce rate, number of visitors, and PR value every day. Baidu weight and other data, especially the bounce rate, if it is very high, you need to find out the reason, whether your website is not opening quickly or there is a problem with the server, find out the reason in time, and then solve the problem.

3. Website log

Looking at the website log every day can give you a good understanding of the spider crawling situation, and analyze whether the spider will crawl after the website is updated. Take, if the spider does not come, analyze the reason.

4. Competitor analysis

While optimizing our website, we should also pay attention to the dynamics of our competitors. It is also very necessary to analyze our competitors. Competitors The data analyzed include: Understand what words are used on the opponent's website? Ranking changes? The bounce rate of the website, how the content is optimized, and the platforms on which articles and keywords are published in external link construction, etc. In this fiercely competitive Internet era, it is important to learn to know yourself and your enemy. Understanding your competitors is a good mirror. No matter whether your opponents are strong or not, don't ignore them.

5. UV, PV, number of visitors

PV: It is the number of views. The number of PV is recorded once a page is opened, so in view of this, many people brush the number of views , because this value is very important. If a website has a high number of views, it means that the website weight is high and the user stickiness is high. It is also a good thing to increase website traffic.

UV: Number of unique visitors. Sometimes you need to pay attention to the number of unique visitors, because IP cannot see the traffic of a website very well, and independent visitors can better understand the situation of the website.

I learned this today, and will continue to learn SEO data analysis in the future.

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