Refusing to watch the effect of reverse thinking stable site rankings

Intermediary transaction SEO diagnosis Taobao guest Cloud host technology Hall

Website data is the most able to reflect the status of the site, through the site data we can clearly understand the current site's health status, site audience, site positioning and so on. Through the feedback on the site data, we can timely optimize the work of the site to adjust, so that the site ranked more stable.

Many of the Seoer's Web site data are representation values and do not have an in-depth understanding of the meaning of the data. And today I want to share with you the Web site data research methods, is to deny the onlookers effect, will not pay attention to the data information as our focus of research objects, in order to enrich the site SEO work to achieve stability of the site ranking purposes.

Website data is the basis of SEO work, data can be feedback to our user behavior, Site page quality issues, in order to judge the overall quality of the site. And through these website data we can also clearly know the root cause of the ranking fluctuations, easy to our daily maintenance work site. But most of the time we just look at the site's IP, PV, bounce rate, stay time and so did not specifically to the site data on the numerical research. When the user clicks on a page, if the direct shutdown then jump to 100%, but if there is a click on the bounce rate of 0. And what I see is that the bounce rate doesn't look at the gap between 0 and 100.

From the jump rate, the bounce rate is low, page stay time is high page value, and the layout of the chain is reasonable. Conversely, the page value is low, will not be through the chain to bring points to the site. If the quality of the content to check some of this has become the site ranking risk factors, is not conducive to the overall ranking of the site.

When we analyze the Web site data, we need to learn more about each page in the page click Diagram. We are all trying to improve the website user experience, but the user will not tell you where the site is flawed, but the data traces after the user's visit will feed back to your point of view. Why are the pages clicked? Why are there stay time and bounce rate? This is the data reference for the next Web Site Optimization tool program.

When we find that our site is down from the first page to the second page, the data will tell you the reason for the drop. Generally caused by this situation is mostly because the content does not meet user needs, by the Search engine page elimination mechanism put in the back, if you can not improve, the site is probably hundreds later. The volatility of such sites is not so much a drop in weight as a ranking warning.

This is our understanding of the website data, but it is far from enough. Not only to timely analysis of their own website data, the competitor's data also have to be elegant, so that we can really grasp the site rankings. For everyone to analyze the data we can sweep over, and for everyone do not attach importance to the data we should focus on research, such a reverse thinking principle can stabilize our website rankings.

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