Website SEO data analysis to start from each directory

Source: Internet
Author: User
Keywords SEO we practice each usually

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In our usual optimization practice, for some small sites, nothing more than to add some high-quality content, and then more high-quality, high related to the chain, so the ranking is very easy to go up, and optimize the number of keywords is also very few, sometimes three or four, home layout one to two difficult some high, Then the other keywords are arranged in the section page as well as inside pages, this idea is right, but for some large and medium-sized sites, it is not so simple, nor is it possible to optimize a few key words, often to optimize a number of keywords, but also pay attention to the whole, optimization is the first whole, after local, in this process, Often need to rely on data statistics, data analysis, then we want to collect and analyze what data?

1, collect and analyze the collected data, including each catalogue (feature URL), collect, analyze

For a website, we can take the strategy of chunking optimization, in other words, a directory to a directory, in such cases, the data collection, analysis will be separate from each directory, then how we want to achieve the data analysis of each directory, we can use the search engine site: Your site domain name + Inurl: Feature words to achieve, for example, we want to statistics A5 aspires this directory collection, we can use the site:admin5.com inurl:article This command to achieve, each catalog of data collected, every day to record down, Then a week to analyze a weekly report, one months to do a monthly report. I am usually a practical locomotive to collect the implementation of automated operation

2, collect, analyze the flow of each directory

In the previous step we have collected data for each catalog to monitor up, and then we have to collect, analysis of the flow of each directory, included with the flow is related, included more, generally speaking, the higher the flow, even if we collect the catalogue of data, Then we must put the flow of each directory every day, when Baidu or a search engine traffic down, we can through this directory, to analyze exactly which directory traffic down, and then to deal with that directory can be.

3, collect, analyze each directory search engine crawler crawl data

Included basically by the search engine crawl to determine, in the Site page quality certain circumstances, search engine spiders crawl More, then it will be included in the more, so in this piece, we have to find ways to improve the search engine crawl, want to do science some, We're going to record the crawl data for every search engine in each directory, this is a lot of log analysis tools can be implemented, such as light-years log analysis system, fire log analysis system can be collected in this data, and later when the flow of a directory down, we can see whether it is included in the fall, And then see if it's crawling down, this step-by-step to find the reason, this will be more scientific.

4, collect, analyze each directory search engine landing page data, and landing page keywords

This can be achieved using GA statistical analysis, very convenient, and GA is very powerful, we want the total search flow of the landing page page and keywords to record down, every day to record their number, if the day the site traffic down, we can see if the landing page is reduced, is not the source of the number of keywords reduced, so you can have targeted to find the reason.

5. Collect and analyze the traffic situation of each search engine

The source of our search traffic is a lot of search engines, we need to be clear about the flow of each search engine, such as each search engine every day to the UV, each search engine every day to the number of keywords, each search engine landing page number every day, we have to be very clear, so if the flow of a day down, We want to analyze whether every search engine to the traffic is down, if all fall, then it may be really our site out of the question. The above content by the Chinese Construction Talent Network www.jianzhuhr.cn in Admin5, reproduced please keep the URL, thank you!

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