Search Engine Optimization keyword phrase information evaluation
The majority of the SEO job revolves around the 3 points of " search phrases, site material and web link framework", each of which needs to rely upon data analysis skills. As a first step, the goal is to recognize the search demands of users and the search behavior of different users in different circumstances, as well as to correspond to the content of the site to find the search website traffic that is currently overlooked. It plays a direct role in assisting the instructions of site content and link structure.
Throughout the numerous Search Engine Optimization forums, the following inquiries usually emerge when referring to keyword evaluation.
1, exactly how to classify keyword words
2, similar words exactly how to take care of
3, how to use these words
In the face of a large number of entries and complicated sorts of original word lists, it is evident that pure handbook processing is not realistic as well as pure program handling is certainly not exact. So you require to use a great deal of suggestions, utilizing the program to process the initial word list, outcome the candidate grouping and also specified reference information, in the guidebook to choose the means, effective as well as fast and ensure the top quality of the above problems, the general process is as complies with.
1, to acquire the original word list, I am below with the Baidu promotion API, you can likewise use Baidu phoenix metro nest, online search engine drop-down box and also relevant search, competitive information, and so on, techniques as well as prefabricated devices, not to state much more, the data is as adheres to.
2, the initial word list for handling.
Many users will utilize the usual search mix, accounting for around 60% to 70% of the proportion, each combination has the "word" and "variable".
For example: "where to lease economical houses in Beijing", where "Beijing" is a geographical variable, "Beijing" itself can replace any type of city, district, county, road or other geographical associated term Words "Beijing" itself can replace any type of city, district, county, road or various other geographically relevant term, while "where to lease economical" is a suffix, which is composed dead on the theme rather than dynamically adjusted like a variable.
On top of that, words with a high search volume usually represent multiple words with the very same meaning, such as "where to rent cheaply in Beijing", "where to lease cheaply in Beijing", and so on
. The next thing to do is to make a initial group of the initial word list to offer trusted data for the following hand-operated selection. The copying is based upon my individual routines.
The copying is based on my personal routines: for each and every word in the initial word list, the prefixes and also suffixes of the word are drawn out and the number of occurrences of each suffix in all words as well as the overall variety of searches.
This is the original word list after processing.
This is the calculated suffix data.
3, manual testing, removal of variables.
Suffixes have actually been found, but still except the equivalent variables. Because of the intricacy and also diversity of the variables, it still needs a quick glance by hand.
As the previous action has actually been calculated on the suffix information, the suffixes in descending order by total search volume, to locate the prefix, suffix search quantity of the initial 200 suffixes, and then a fast glance over the keyword phrases containing this suffix are what variables, are recorded.
The layout of the document can be totally free to play, integrated with the real scenario, document the information needed for their own analysis.
The means I have done this is as complies with, heaven boxes left wing are for comparable terms, i.e. " comparable terms with the same search needs yet different search behavior". Heaven box on the right is the corresponding high-frequency search mix, having different mixes of patterns or various variables.
4, the use of data.
This is not a dealt with technique, relying on the real scenario of the website. Yet the much more unified means is that comparable affixes are taken into a page, high search quantity attaches put title, low search volume fastens fairly embedded in the page, such as the blue box part of the above chart.
A total amount of 7 words, initially find the complete search volume corresponding to each word suffix, the search quantity in front of the word suffix priority on the title, the continuing to be search quantity of reduced affordable embedded in the web page, for example, at the end of the page plus the message description of the page, such as ' customers that have actually seen the page additionally browsed:" city work search network, city job search should be hired, city work search information network"'
Because of the low search volume of words suffix if a lot of variables, the possible long tail traffic plus a great deal, due to the tiny degree of competition, the Web contains these long-tailed words in very few web pages, if the site has a website or more web pages can be complete in these long-tailed words, then the opportunities of these words will certainly show a lot.
Here is a sense of the online search engine to take the top quality of the index library. Baidu is separated right into 3 degrees of indexing, top notch collection, ordinary collection, low-quality library, high-grade library of the number of pages represented 20% of the overall index collection, however can fulfill more than 60% of the search demand. In the quality of the library of websites will have the possibility to show, so the exact same class of search terms, it is best to moderately ingrained in A, B, C and also various other types of pages, in case A installed part of the web page did not go into the top quality library, it does not matter, possibly B, C can complete it.
There are lots of people will experience this situation, " work search network, task search to find job" is to " work search" as the origin of words, the search volume is high, need to be placed on the title, that has been " employment" as the root of the word The search quantity of " employment network, employment and also task search" is likewise extremely high, a title can not place so many high search quantity of words, just how to do?
It is advised to make use of different web pages to bring the matching web traffic for words with various roots however the same demand and tough competition. For example, "job search" as well as "recruitment", the matching page material is employment details, so if " work search" currently has a web page, we suggest making use of the exact same data, as well as work search page different If there is currently a page for " work search", it is advised that a new collection of pages be created with the very same data, yet with a various call method and a different design template to record the recruitment website traffic.
There is also a word seo-hk.top/ co-occurrence issue, with tried several times, to locate "Ma Yun" "Ali cloud" "Wan network" this semantic connection is fairly excellent, for search phrase analysis, such as information consulting kind of The search term importance is not strong terminal, you can by hand set a couple of seed words, export the equivalent write-up, by assessing the seed word context to extract the TAG words with solid significance to the seed word. There is a prefabricated toolkit on the net: word2vec, which can conveniently achieve the above requirements. But for routine web site key words analysis, I directly feel that it is not very valuable.
Also do not think about any type of program that can do it in one step, the program is only in charge of handling, the decision still relies on individuals.