Quantitative operation flow of traffic and keywords [Taiyuan SEO]

Intro:   Quantitative operation flow of traffic and keywords [Taiyuan SEO]Most of us know that to do SEO optimization is to optimize the ranking of keywords. For the vast number of stationmaster friends, there

Quantitative operation flow of traffic and keywords [Taiyuan SEO]

Most of us know that to do SEO optimization is to optimize the ranking of keywords. For the vast number of stationmaster friends, there is no brand awareness in the early stage, what can stand out in all the small stations? That’s your talent! Or your website content is very readable, the value is very high, the original originality 100%, causes a large number of keywords in the search engine to get the ranking, so your website traffic also comes. When the traffic of the small station reaches a certain level, the popularity of the website is coming, and finally there will be the so-called brand word flow. SOM learning network is such a way of thinking, ready to work hard to manage this website, the following is my detailed analysis of the flow and keyword quantitative operation of the train of thought, I hope to the majority of grassroots stationmaster friends have some help! 5 G’i / @ ‘x! X8 N + c5 j + I

How much traffic does the keyword generate? There is also a ratio here. SOM Learning Network temporarily calls it “traffic ratio”, using the traffic within the station to compare the amount of keywords (it is recommended that the time latitude of the data model be extended to more than half a year, so that the data will be more accurate).

Of course, there are a lot of similar comparative analysis above, and finally we will find that there is in-depth correlation between these seemingly independent data. These values can reflect the current performance of the search engine, the specific analysis method, SOM Learning Network (Xuesom.com) with a case brief introduction: / f: M$ w “^ * B

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There is a site, Baidu daily average 8w ip, site page data a total of 40w+, Baidu is currently recorded in 200000 pages, communication learned that the daily average keyword 4w, there are currently 20 editors, the demand is: how long does it take to achieve 400000 daily average ip, how much money? -h0 X$ x + M, u) H5 s

Analyze the performance of the site in the search:

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1. Analysis ratio: 40 ≤ 20 = 2 (2 data produce one collection, 50% inclusion) + X5 Q2 o / p9 Q “K1\% I / y0 A

two。 Analysis keywords: 20 ≤ 4 = 5 (5 pages produce one keyword, 5:1 keyword production) 8 m x amp.\% S9 K6 T7 V6 I

3. Analysis of flow ratio: 8 ≤ 4 = 2 (1 keyword produces 2 ip, macroscopically looking at the flow of single keywords) # Q + F ^-Q9 U$ I

4. Analysis workload: 40 editors per day / 20 people per day = 800 articles / day

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Then, according to the performance data of the current site in the search engine, to achieve 40wip/ every day, need 20w keywords / daily, need 100w included pages, need 200w in-station pages, and editors work rated, they need 20 people to work, it takes 6 years and 8 months; Some people say that this is too long, it should be said that only according to the data analysis is like this, but we can see from the subjective point of view, some are not reliable, because we ignore the changes in objective issues, in this process, the site in the search engine performance (can be considered to be the weight) changes, brand words, changes in the number of team personnel, content resources collection channels, and so on, according to experience, This final result is generally superior to formula settlement results (because most websites are doing better and better) but if these values remain unchanged on your site, I don’t think the results will be too bad.

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Some people would say that if one of my big traffic words ranks up, the whole thing will change, but what I want to say is, if you magnify and prolong the data in the data model, you will find that the fluctuation of the ranking of single keywords in macro data has little impact on the overall traffic, especially in large websites, because the fulcrum of traffic lies in the long tail and the fulcrum of the long tail lies in the content. Therefore, in macro data, the fulcrum of traffic lies in the amount of content data, rather than the ranking of several large traffic keywords. 4 f3 N3 X2 _!}, M

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