Brief discussion on the data analysis of SEO I-opening & included part

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SEO to data, at present in the country peace light years, the promotion of the Forum has been a lot of friends began to understand the importance of SEO data analysis. In fact, SEO data analysis, is not a new concept of fashion, very early on, there are a group of "experts" advocated, "we want to analyze the data, analysis opponents to do seo."

Look back at the previous SEO data analysis. There are so many common entries

Home PR

Alexa rankings

Site collection Number

Home Snapshots

Outside chain quantity

Core Keywords Ranking

And so on and so on ...

First of all, why the previous SEO data analysis, can not be done from the data-driven SEO. We analyze the previous entries.

In other factors unchanged, PR high, traffic must be high? It is obviously not, but also just the PR value of the home page, for any one site, the first page of traffic is only a small part of the super big stations, the first page of the proportion of traffic to be negligible. (due to the large base, small proportion of the data is also considerable than many sites). Because the first piece of data, there is no need to analyze.

Alexa data also has certain reference, but to the domestic website, almost can ignore, in addition to engage in it, basically no one will install this goods. Alexa statistics flow is all traffic, not just SEO flow, so the SEO does not have much relationship, but the Alexa data acquisition is relatively easy, as a reference bar.

Site included not allowed to say first. The question is, what's the point of data from site? If I have a site with 100 million pages, my site out of 1 million, is good or bad? I have 10,000 pages of a website, I site out is 10,000, is good or bad. Therefore, in addition to site data, you have to at least know how many pages this site, otherwise site data meaningless.

Home snapshots, the Web page has been updated, reptiles may take a photo, snapshot time to update. More often than not you move the page. How do you expect the snapshot changes to affect your SEO? and the same as the home page PR, the homepage is just a pages, not so special.

Chain number, OMG, outside the chain for the king, the number of chain is certainly important. Is the chain really the more the better? Some of the query is clearly ranked 1th than the 10th of the chain is much less than the outside. In fact, the overall quality of the chain is difficult to measure, anyway, you also statistics are not complete, why use this quantity as a result, if the relevant outside the chain, the ranking will improve, this is not what I said, is Google, Baidu said. So that's the direct factor in our ranking.

Speaking of rankings, this side said the core keywords ranking and the overall ranking of the site problem. I believe that webmaster have their own site, see Traffic Report it, those core keywords can bring traffic accounted for all the proportion of the flow? But generally do SEO optimization, we are accustomed to concentrating resources on a few core words, and a large number of keyword traffic, are belong to no one wants, Random allocation of resources in the past, traffic on the rise. Only look at the ranking of the core words to do SEO, belong to foolish, lost watermelon. Both hands must be grasped, both hands must be hard, the average allocation of resources in order to maximize the benefits.

From a few data we can see that the past SEO data analysis, analysis of the data are mostly unreliable, inaccurate. Naturally it has little impact on SEO, and from these data, it is difficult to find the core issues. SEO data analysis, often become a "gimmick", spent a lot of time and energy, but even a little effect and guidance is not.

That how to do SEO data analysis, my side first recommend some predecessors wisdom:

(former Alibaba SEO personnel) national level

Detailed "Light-years SEO Log Analysis System 2.0"

How does the speed of the Web page load affect the SEO effect

(former Tenkine SEO personnel) Waste millet

Baidu included spot checks

A long way to go-it Vertical class Portal Search engine keyword ranking comparison

Although some of the articles are very old, they are now very instructive. My side also first don't borrow whose theory, we start from the fact, well recall how some users came to our website through the search engine?

User enters a keyword in the search box

Users read a large number of results in the search results page

The user clicks into some of its satisfied results

OK, this is the simplest user access, in fact, the user has some other circumstances, this article does not start the discussion.

We still for each user operation, set some problems, and then the corresponding problem, we find some data to solve this problem.

We want to know what keywords the user searched for? What is the purpose of this keyword? can our page not meet the needs of users?

How does our page appear in the search results page?

How to stand out from the search results page and let the user click on you?

If these three points do well, I believe that a site SEO traffic will not be low. How do we get started? (Night interest Note: This article does not have a step-by-step method, if you want to skyrocketing can bypass)

Take the second question, how does our page appear in the search results?

This is a seemingly silly question, "haha, is not included in the question?", some people will say, "My site has long been included in Baidu, but there is no traffic." Let's take a look at the following example.

This site Baidu contains more than 7 million pages, looks good, we go to this site to see.

There is a channel called "International Hotel", which contains 130,000 hotel reservation service information. In other words, I have at least 130,000 distinct pages to describe these hotel information.

Baidu included 1770,google included 18200, if counted on some index pages, that the overall rate is only 1%, or even less. (Night interest Note: Inurl Query method is not very accurate, so it remains to be verified, this article is just an example)

In other words, if I am in Baidu, Google search for most of the International hotel booking information, this site's pages may not come out in search results. Because it hasn't been included.

See a 10-year data, said China 10 years when more than 50 million people exit. If the estimated 30% people need to stay in the hotel, then this is a huge traffic opportunity. Obviously, there's a lot of room for improvement on this piece of cake. If as an SEO focus on resolving this channel collection problem, I believe that the website business has a very obvious upgrade.

How to solve the problem of inclusion, I believe many people have a way. I also don't have a long talk, a lot of things can be found in the above recommended articles, summed up my own analysis of the SEO data.

The daily crawl amount of a channel crawler

A channel crawler does not repeat the amount of crawling daily

One channel crawler single page download time

Response speed of a channel Web page

Number of daily reptile visits on a channel

Top directory of a channel

A certain channel collects the proportion spot check

Response code statistics for a channel

Relying on these data, we are very clear to know how a channel's site is included, the problem is where.

Did you not crawl or climb too little? Or is the page quality too low? Or is the server down? All problems cannot escape the discernment of these data. "---------

Author: Night Interest http://www.imyexi.com/?p=448 welcome reprint, please keep the source