SEO key phrase information analysis
A lot of the Search Engine Optimization job focuses on the 3 points of " keyword phrases, web site material and also web link structure", each of which requires to rely upon data analysis abilities. As a primary step, the objective is to understand the search needs of customers and the search practices of various individuals in different scenarios, and to correspond to the content of the site to find the search web traffic that is currently neglected. It plays a straight duty in directing the direction of site web content as well as web link building.
Throughout the different Search Engine Optimization forums, the adhering to concerns typically emerge when describing keyword evaluation.
1, how to categorize keyword words
2, comparable words how to take care of
3, how to make use of these words
In the face of a multitude of entries and also complicated sorts of initial word lists, it is noticeable that pure guidebook processing is not realistic and pure program processing is clearly not precise. So you need to use a great deal of suggestions, utilizing the program to process the original word list, outcome the prospect grouping as well as defined reference information, in the guidebook to pick the way, effective as well as fast and ensure the quality of the above troubles, the basic procedure is as complies with.
1, to obtain the original word list, I am right here with the Baidu promo API, you can likewise make use of Baidu phoenix metro nest, search engine drop-down box as well as associated search, competitive data, and so on, approaches and prefabricated devices, not to say more, the information is as follows.
2, the initial word list for processing.
Most customers will certainly make use of the common search combination, audit for around 60% to 70% of the proportion, each mix has the "word" and "variable".
For instance: "where to rent inexpensive apartments in Beijing", where "Beijing" is a geographical variable, "Beijing" itself can change any city, area, region, street or various other geographical relevant term Words "Beijing" itself can replace any city, district, region, road or various other geographically related term, while "where to lease low-cost" is a suffix, which is created dead on the template rather than dynamically changed like a variable.
On top of that, words with a high search quantity usually represent numerous words with the very same definition, such as "where to rent out inexpensively in Beijing", "where to lease inexpensively in Beijing", etc
. The following thing to do is to make a preliminary grouping of the original word list to give reputable information for the next hands-on option. The copying is based on my personal practices.
The following example is based on my individual behaviors: for each and every word in the original word list, the prefixes as well as suffixes of words are drawn out and also pbase.com/topics/w2jjcgx231/yczvymk610 the variety of events of each suffix in all words and also the total variety of searches.
This is the initial word list after handling.
This is the computed suffix data.
3, hand-operated testing, removal of variables.
Suffixes have been found, yet still except the corresponding variables. Because of the complexity and diversity of the variables, it still requires a fast glimpse by hand.
As the previous step has actually been relied on the suffix information, the suffixes in coming down order by total search volume, to find the prefix, suffix search quantity of the very first 200 suffixes, and after that a quick glance over the key phrases including this suffix are what variables, are tape-recorded.
The layout of the record can be cost-free to play, combined with the actual scenario, record the data required for their own analysis.
The means I have actually done this is as complies with, the blue boxes left wing are for comparable terms, i.e. "similar terms with the same search needs but various search behaviour". The blue box on the right is the corresponding high-frequency search mix, consisting of different mixes of patterns or various variables.
4, using data.
This is not a taken care of method, depending upon the real situation of the site. However the extra unified way is that similar affixes are put into a web page, high search volume affixes put title, reduced search volume fastens moderately installed in the page, such as heaven box part of the above chart.
A total amount of 7 words, initially locate the overall search quantity corresponding to each word suffix, the search quantity in front of words suffix priority on the title, the remaining search quantity of low sensible embedded in the web page, as an example, at the bottom of the web page plus the message summary of the web page, such as ' customers who have visited the web page additionally browsed:" city task search network, city work search must be hired, city job search details network"'
As a result of the reduced search quantity of words suffix if a lot of variables, the potential lengthy tail web traffic plus a great deal, as a result of the little degree of competition, the Internet contains these long-tailed words in very few pages, if the site has a websites or even more pages can be full in these long-tailed words, after that the opportunities of these words will reveal a great deal.
Right here is a sense of the online search engine to take the high quality of the index library. Baidu is separated right into three levels of indexing, high-grade library, normal library, low-grade collection, top notch library of the number of pages represented 20% of the complete index library, however can satisfy more than 60% of the search demand. In the high quality of the library of website will certainly have the chance to show, so the very same class of search terms, it is best to fairly embedded in A, B, C as well as various other types of pages, in case A put up part of the web page did not go into the quality collection, it does not matter, possibly B, C can fill out it.
There are lots of people will encounter this situation, "job search network, job search to discover job" is to " task search" as the origin of the word, the search quantity is high, have to be placed on the title, that has been "recruitment" as the origin of the word The search volume of "recruitment network, recruitment and also work search" is likewise extremely high, a title can not put many high search volume of words, just how to do?
It is recommended to make use of various pages to bring the corresponding website traffic for words with different origins yet the exact same demand as well as difficult competitors. As an example, " work search" as well as "recruitment", the corresponding page web content is employment details, so if " work search" currently has a page, we recommend using the exact same information, as well as job search web page various If there is currently a web page for " work search", it is recommended that a new collection of pages be developed with the exact same information, but with a various telephone call approach as well as a various theme to capture the employment web traffic.
There is likewise a word co-occurrence problem, with attempted several times, to locate "Ma Yun" "Ali cloud" "Wan network" this semantic relationship is rather excellent, for key words evaluation, such as information consulting kind of The search term importance is not strong station, you can by hand establish a few seed words, export the corresponding short article, by evaluating the seed word context to extract the TAG words with strong importance to the seed word. There is a prefabricated toolkit on the net: word2vec, which can easily accomplish the above requirements. But also for regular site keyword analysis, I personally feel that it is not really valuable.
Also do not think about any program that can do it in one step, the program is just responsible for handling, the final decision still depends upon individuals.