How to check the frequency of requests by words. Not yet registered? How to automate the collection of keywords in the Yandex service

Search query is the request that the user enters into the search:

The frequency is largely due to the theme and business of the business, as well as a region, seasonality and search engine.

You can check the frequency using Yandex.Upptat.

Types of search queries at their frequency

• How to choose low frequency queries? Take everything that Wordstat will show up to 1 show per month. The more LC on the start of the work, the more traffic will be.
• How to promote low-frequency queries? These are the most simple and undemanding requests, they do not need to reinforce the links - you only need to create relevant content: write articles, news, goods cards that most meaningfully and accurately answer the user to his question.
• Traffic on such requests will begin to grow immediately, but maybe slowly: low-sound requests, the results may not be impressed at the beginning, but the more such requests will be implemented on the site, the higher the end is its attendance.

Highly competitive LF requests are, but rarely - mainly in narrow commercial niches with high competition. That is, people who introduce such requests, very little, to output the site in the top will not be easy, but if the user comes to your site, then most likely it will become a buyer.

Mid-frequency queries, their concept and features

Mid-frequency queries - how much? Sch is a little more popular than LF. Medium-grade and low-frequency requests are the basis of website promotion, because their most. Using both groups of requests, you can achieve optimal attendance with not the biggest investments.

On the commercial account to promote the site more difficult than in information, and this should be considered: commercial requests - selling, and competition above. In mid-frequency queries, the number of proposals corresponds to the level of demand: sites that are advantageous mainly in the account, really quite a lot. For example, on the Internet, not one company offers "Buy plastic windows inexpensive", so be prepared that work on the site in this case can take quite a long time.

High-frequency requests, their concept and features

What requests are considered high-frequency? Those users are injected in the search most often - more than 1000 times a month, for example:

High-frequency queries are how many widespread variety and the total number of options: not only information and commercial, but also branded requests for which there are very large traffic. But such requests are extremely highly competitive, so the most high-frequency requests are the most expensive in all respects.

Another drawback of high-frequency queries in Yandex and Google is not the highest conversion: it is not clear what the user wants, entering the request in the search bar "Laptop screen". He needs information on caring, addresses of workshops, where can it be fixed or replaced, or some specifications? And the contents of the page may not be at all as looking for.

• How to determine the high-frequency query or not? Take advantage of all the same Yandex.Upptat.
• How to promote high-frequency queries? Long and expensive. In order to get to the top of the search results, it will have to work long and hard to work on the site, impartially investing including financially. It should be borne in mind that in particular the most high-frequency queries (Yandex or Google - it does not matter) is a huge stream of the audience, including inappropriate, and extremely high competition.

What requests are best to choose to promote?

What requests are low-frequency, medium- or high-frequency - collect for search engine optimization of your Internet site? Ideal promotions for promotion are low-frequency and highly competitive, but it is rarely selling the optimizer and customer's dream. Therefore, what requests it is better to choose for your site depends actually from the site itself.

If SEO has not been done earlier, the site is not optimized and you only at the beginning of the way, then you need to take it first for the LF and work on them, connecting gradually sch and HF.

If the site is maximally optimized for sch and NF, you will be thrown over HF.

By optimization vector, you can also choose requests for promotion:

• if the site develops to demand in the direction or sphere as a whole - use HF;
• if you need to attract target visitors who are looking for one or more areas of your company's work - use more sch;
• if you need a high conversion and sales growth - do focus on the NF.

Before doing something on the Internet: Create a site, customize an advertising company, write an article or a book, you need to see what people are generally looking for, what are interested in what is introduced in the search bar.

Search queries (key phrases and words) are most often assembled in two cases:

• Before creating the site. In this case, you need to assemble the maximum keywords to cover your entire sphere. After collecting, search queries are analyzed and on the basis of this decide on the structure of the site.
• To configure contextual advertising. For advertising, not all choose, but only words for which you can determine interest in the product or service, it is desirable to be an active interest in the words "buy", "price", "order", etc.

If you are going to set up contextual advertising, then.

And below, we will look at how to assemble the statistics of search queries in popular search engines, as well as small secrets how to do it better.

Immediately add that I myself use paid services, because you can collect the amount of data for a very long time that I usually need to promote and configure advertising. But when you need to quickly look, then these methods are also suitable.

How to see Yandex requests statistics

The Yandex search engine has a special service "selection of words", located at http://wordstat.yandex.ru/. It is very easy to use: Introduce any words and usually, except for statistics for these words, we also see what they were looking for together with these words.

It is very important to understand that statistics on shorter queries includes statistics of all detailed requests with these words. For example, in the screenshot request "Request Statistics" includes Request "Yandex Query Statistics" and all other requests below.

The right column displays the requests that people searched for people who have searched the request you entered. Where does this information come from? These requests that were entered before your request or immediately after it.

To see the exact number of requests on the phrase, you need to enter it in the "phrase" quotes. So, specifically the request for "query statistics" was looking for 5047 times.

How to view Google search query statistics

Recently, the Google trend tool has been available for Russia, it is located at http://www.google.com/trends/ . It displays the popular search queries recently. You can enter any of your request to assess its popularity.

In addition to the frequency of requests, Google will show popularity by region and similar requests.

Second way Watch the frequency of google search queries is to use the service for AdWords.Google.com advertisers. To do this, you need to register as an advertiser. In the "Tools" menu, you need to select a "keyword scheduler" and further "get query statistics".

In the scheduler, except for statistics, you will learn the level of competition of advertisers on this request and even the approximate cost of clicking if you decide also to advertise. By the way, the cost is usually overestimated.

Statistics of search queries Mail.Ru

Mile.ru updated the tool showing the statistics of search queries http://webmaster.mail.ru/querystat. The main feature of the service is the distribution of requests by sex and age.

It can be assumed that the Yandex word selection service also takes into account requests from Mail, because At the moment, the search engine Mail.Ru shows the advertisement of Yandex, and the service is mostly designed for advertisers. And before, by the way, Google advertising was shown in Mail.Ru.

In addition, you can use such a cunning. The approximate distribution of the audience between the search engines is: Yandex - 60%, Google - 30%, Mail - 10%. Of course, depending on the audience, the ratio may change. (For example, programmers can give Google preference.)

Then you can see the statistics in Yandex and divide on 6. We get an approximate number of search queries in Mail.Ru

By the way, the exact distribution of the audience between the search engines for February 2014 can be seen on the screenshot below:

Rambler query statistics

From the graph, it is already possible to see that the search engine Rambler covers only 1% of the Internet audience. But nevertheless, they have their own keyword statistics service. It is located at: http://adstat.rambler.ru/wrds/

The principle is the same as in other services.

Bing's search engine enjoys even less than our compatriots. And to see the statistics of keywords, you will have to register as an advertiser and understand the instructions in English.

You can do this at Bingads.microsoft.com, and the request statistics can be viewed at the stage of creating an advertising company:

Yahoo query statistics

In this system, as in the previous one, you need to register as an advertiser. View search query statistics It is necessary here http://advertising.yahoo.com/

How to see Search queries YouTube

YouTube also has its statistics of search queries, which is called the "keyword prompt tool". It is mainly designed for advertisers, but it can be used to prescribe suitable keywords from your video.

And it looks like this:

Outcome.

We reviewed all popular search queries selection systems. I hope this review will be useful to you to write articles, creating websites or advertising settings. If you have any questions - ask them in the comments.

The query frequency is the number of requests for specific key phrases for a certain period of time.

More video on our channel - Learn Internet Marketing with Semantica

Methods for determining the frequency of requests may differ depending on the search engine used. The most popular are Google and Yandex services.

Key phrases have a different degree of popularity among users seeking information on the Internet. Part of the requests can be asked by search engines several times a 30 days, the other part is from 2-3 thousand times to several tens of thousands. The algorithms of search robots are arranged in such a way that the more often the specific phrase is used, the higher its frequency. Having such statistics and knowing how to use these numbers correctly, the SEO specialist can find out exactly which traffic he will receive if you bring the site to the first page of search results for its requests.

In addition, the statistics of frequency makes it possible to make it possible to most effectively select the semantic kernel for the site or a separate web page, as well as eliminate the non-target key phrases in the first stages of the work on the promotion of the resource.

Determination of frequency of requests by type

High-frequency (HF)

They have a broad focus and contain, as a rule, one or more words most popular among users when searching for a particular information. High-frequency queries are used as advertising on the formation of a positive opinion of the target audience about the company as a whole and the proposed goods / services in particular.

1. RF are not suitable for promoting web resources, the duration of which is less than one year. In this case, it is necessary to start with LF and SC.
2. The maximum frequency of QF requests can reach several tens of thousands (according to query statistics).
3. They are asked by users who are just beginning to study the subject area and, being the most competitive option, stand in promotion much more than other types.

Mid-frequency (s)

These are more specific queries consisting of several words. Their frequency can reach from one to several tens of thousands of requests per month. They are suitable for promoting any web resources, regardless of the duration of work. Like HF, requests are the basis of promotion, endowed with the widest, but not too narrow ornament. They are great for online stores and other sites, promoting specific commodity positions or services where users know what to look for and what keywords to enter a search engine.

Low-frequency (HF)

They have a narrow orientation, describe the specific need for the target audience and, as a rule, consist of three or more words. In other words, the NF is asked by people who are exactly known which product in which configuration they need (for example, buy a toothbrush Philips in Moscow). The average frequency of requests here can be from 1 thousand views. The most conversion and are suitable for promoting any Internet sites at all stages. The main advantage of the LF is that, without having a lot of demand, they are not competitive and cost much cheaper for search promotion.

Check query frequency in Yandex

High-frequency, mid-frequency and low-frequency requests are calculated based on the number of shots per month. They cannot reflect accurate statistics, however, in the process of promoting web resources, they are used as a rather coarse rounding. Without accurate indicators, they can be divided as follows: a request to 100 shows - low-frequency, over 1-2 thousand - high-frequency. In this case, it is impossible to determine exactly the average-frequency request - each SEO specialist determines it for itself.

Different search engines use various query frequency check services. In the Yandex search engine, evaluate the user interest in specific topics to select keywords using the WordStat service. To do this, enter a request. The answer will be shown statistics on the request itself and on its analogues (or wordforms). In order to clarify the phrase, additional operators can be applied. For example, if you make a request to French quotes (or "quotes-christmas"), you can get the data frequency data consisting only of the specified words, but written in any form and sequence.

Types of frequency of requests in the Yandex service

In the search engine of Yandex, there are several types of frequency - basic, accurate and updated (they are designated by different signs and symbols).

1. Basic frequency is a purely research interest for a web master, since it is considered the most inaccurate. To calculate it, you must enter a request without special characters, however, the result will be non-specific because it will contain data from both the request itself and for all other, which include all the words specified in the key. The only use of such frequency can be found in the analysis of the overall interest in the subject. So, if you enter the "buy flour" and specify the region of interest, you can understand how many people want to buy flour on the Internet (without specifics - which and in what volume). However, do not forget that such people may be more, they can use requests like "flour price", "cost of flour", etc.
2. Accurate frequency ("chill quotes") reflects the amount of input by users of the request in different decrencies. For example, the web master needs to calculate the frequency of the query "Iron Doors". To get this information, you should put a request in quotes before the selection. This will allow the service showing the statistics of keywords and queries in the search engine, to display the total number of specific requests for iron doors and all forms of declination (iron doors, iron doors, etc.).
3. Refined frequency (!) Contains only relevant and demanded information. It reflects the amount of input by users of a particular form (declining, hidngth, number ..) of a particular phrase that the webmaster is looking for. It is recommended to calculate precisely refined frequency, because it reflects the essence of the request and determines its popularity from the target audience. So you can find out what number of people introduces a request in the form in which you wrote it is very useful, if necessary, find out which of the two and more keys will be more useful to use in direct entries in the texts. For example, "candy how to make with your own hands" or "how to make candy with your own hands."

To obtain frequency of requests in other search engines, other services are applied. To obtain statics in Google, for example, you must have an account in the AdWords contextual advertising service. Going to a personal campaign account, you need to go to the "Tools" section and use keyword prompts. Entering the desired phrase, the service will provide a ready-made analysis result not only on the specified words, but also similar. This allows the web master to choose the most optimal query option for search promotion.

In this case, Google does not have the ability to check the frequency of requests, but the user can add to the results of web resources with content for persons who have achieved majority, as well as use additional filters. In particular, you can check a specific request in geographical location: in a separate region, country or around the world.

Services to determine the frequency of search queries

In addition to AdWords, there is a web service in Google, which shows how many times the users are looking for a specific phrase (for a certain period of time) to the total volume of search queries separated by geographical location (region, country). This service is called GoogleTrends. Entering requests interested, the webmaster receives statistics in the form of a graph with the ability to compare several phrases. At the same time, not exact indicators are displayed here, but conditional.
The statistics of search queries to the service Search Mail.Ru also uses popularity. Here you can see information on general shows divided by age and sex categories.

Mass check frequency frequency check, as well as the collection and analysis of the semantic kernel can be carried out using the Key Collector program and Rush Analytics Web interface. The first program is paid (the fee for the purchase of the program is one-time), the second is provided in various price solutions - from 0 to 6000 rubles per month. At the same time, their functions and opportunities are in many ways similar.

The need to use these services is determined by the fact that in addition to checking the frequency of requests, Wordstat cannot be used to effectively compile the semantic kernel. Of course, it is possible to focus on the information received, but with some nuances. In particular, keywords with minimal frequency may have competition in the search engine and bring a certain amount of traffic to the web resource.

You can learn the frequency of Wordstat manually, but it is long and uncomfortable. To speed up the work there are parsers: desktop programs, browser extensions, cloud services and scripts. All of them are similar - there are only differences in the nuances of work. Own appeared in the Promopult system. We understand how it works and what it is better than the analogues.

The main features of Wordstat Parser in Promopult:

• mass check of frequency from the left column WordStat for the specified phrases;
• loading phrases with a list or using the XLSX file;
• the ability to pave frequency in any region of Yandex;
• accounting Type of compliance with PARSING (Operators " phrase«, «! phrase"And [ phrase]);
• saving all reports "in the cloud".

Features of the service:

• an unlimited number of search queries when checking at a time;
• collection of frequency online - no need to install software;
• no need to create fake accounts in Yandex specifically for parsing or risk your own accounts;
• no need to use proxy servers and enter captcha;
• summation in the frequency report at the specified regions or breakdown for each region;
• high speed parsing;
• comfortable for subsequent processing report in XLSX format.

A little theory: why know the frequency of keywords?

The main reason why the frequency is collected - traffic prediction. Knowing how many times the users were interested in a certain phrase, you can roughly calculate how much the site will receive transitions if it takes a n-uy position in the search.

How it works in practice:

• you have formed a list of key phrases for which you plan to advance;
• for the phrase, on which you plan to estimate traffic, determine the frequency (for example, " buy Tahtu in Moscow"- 2852);
• learning the CTR values \u200b\u200bdepending on the position in the search (approximate data on the distribution of CTR can be found in open sources, but if your site works at least a few months, then more accurate data available in the "Search queries" / "Query History" report : "CTR in positions,%");
• make a traffic forecast for the top 10 (for this you multiply the frequency on CTR and divide 100%; let's say if CTR 2-3 position is 25%, then the forecast traffic when this position is reached: 2852 * 25/100 \u003d 713).

The second reason to collect frequency - cutting "trash" phrases. These are phrases whose frequency is striving for zero, and they make no sense to include on existing pages (and even more so create new pages under them).

What kind of phrases consider "trash"? It all depends on the subject matter. For example, if the subject is narrow, the traffic is small (for example, on the keys " purchase of the MRI apparatus" or " repair Vertu."), And every user by weight of gold, then you can leave and phrases with frequency 1. For mass market stores, queries with frequency below 5. And for information sites, the frequency 10-20 may well be the lower limit. The main thing, do not overdo it with the removal of unnecessary phrases, otherwise there is a risk of losing traffic on low-frequency requests, which sometimes amounts to 70-80% of the total traffic.

Another reason to clarify the frequency - laying the query hierarchy on the page. More frequency queries are added to Title and H1, and in less frequency - form sections and subsections.

Promote the site on the machine? With the SEO module from Promopult is real! Internal optimization, linkbilding, content content - all this is automated in a couple of clicks. You just have to control the result. Ready? !

How to correctly check the frequency of search queries in Yandex and clean them from "garbage"? What operators to use to maximize keyword details? How to check the basic and accurate frequency? All details in this article.

Frequency - This is the number of search queries scored by users for a certain period of time. In the Yandex Wordstat service, this statistic is displayed in a month. Most webmasters and website owners are familiar with this service, however, even many experienced professionals do not fully understand the entire applied power of this tool.

Check the frequency of requests in Yandex for "kettles"

In order to check the basic frequency, it is necessary to drive the keyword in the WordStat search string. By default, statistics are displayed in all regions and devices, however, you can detail it on desktops, mobile devices, only phone numbers and only tablets. In addition, the service automatically shows similar keywords, provides an opportunity to see the history of specific search queries for 2 years, as well as detail requests by regions and cities. In this article, we will consider only statistics by keywords, all WordStat devices and regions.

Consider the display of the basic frequency of Wordstat on request "Buy Castle".

So, the number 244 253 is next to the phrase "Buy Castle" indicates the number of hits per month on all requests with a keyword "buy a castle": "Buy Ignition Castle", "Buy a lock on the door", "Where to buy a castle", "buy a door lock", etc. The upper number of appeals is the sum of all the downstream shows on all displayed words..

But how, in this case, check the number of shows strictly on request "buy a lock" (door), removing all nethematatic trash: "Children's locks", "ignition locks", "car lock", etc. For this, WordStat operators exist.

6 operators to refine requests

Operators WordStat. - These are symbols that will help you more accurately formulate a key phrase to obtain statistics. They currently exist 6.

Operator	What is he doing	Example key phrase	Display statistics
!	Hard fixes the word (time, genus, number, case)	buy castle in! Moscow	Buy castle in Moscow Buy castle for door in Moscow Buy Castle Moscow
" "	Quotes fix the number of words in the request	"Buy Castle"	Buy Castle buy lock Buy castle in Moscow
+	Plus records all particles, prepositions and service words in the request. Default they ignore	buy lock + on the door	Buy lock on the door Buy lock on the entrance door Buy door lock
-	Minus removes all the extra words from the request.	buy Castle -Automobil	Buy lock on the door Buy Ignition Castle Buy lock for car
	Square brackets fix the order of words in the request	buy [door lock]	Where to buy door locks Door locks to buy Moscow Buy door lock
() and |	Pipe (vertical feature) and round brackets help when grouping complex queries	buy Castle (cheap | Door)	Buy door lock Castles buy cheap Buy door lock cheap

The entire charm of operators is that they can be used with each other. Sharing operators to detail requests gives a good webmaster a powerful SEO tool that will help not only collect a high-quality semantic kernel, but also to strip out of the entire mass of requests it is the necessary objective statistics without semantic garbage.

Determine the exact query frequency: Pro Level

Let's try to combine operators, and let's see what happens. For example, take a new request to "buy a car". Basic frequency of 1,533,200 show per month for all regions and devices.

This is a very wide request that includes many other subqueries from different niches, for example, "buy a washing machine", "Buy Audi Machine", "Buy dishwasher". How can we detail these requests? Suppose we are interested in washing machines.

If we want to see the exact number of requests for the key phrase "buy a washing machine", start using operators: quotes and exclamation mark. It turns out 9257 shows per month. Note that the number of appeals in the table remains basic.

To see the same request, but at the same time hardly fix the sequence of words in it, eliminating, for example, the requests for a "washing machine", "washing machine", add an operator. The exact number of deposits is on this phrase with the preservation of the shape and sequence of words - 8903.

Notice if we change the sequence of words in our regular expression, then we will get a completely different result of the shows - only 308. It is quite logical and intuitive that the number of people who are looking for a washing machine with a greater probability will build their request with the words "buy ".

But if we change the word form of this request, then, again, we get a completely new result.

So, for example, you can fix the pretext in the query and add a geo-dependent word. Please note that the screenshot takes statistics in all regions of WordStats, and not just in Moscow.

Go ahead. Suppose you sell only washing machines with no accompanying goods. The request "buy a washing machine" includes many subqueries, among which "buy a sink for a washing machine", "Buy a TEN for a washing machine", "buy a hose for a washing machine". To collect the desired semantics, you will have a lot of time to check each request using the operators "" and!. In this case, the "minus" operator will help us.

Thus, you clean the "trash" requests in statistics, filtering only relevant keywords for your business.

Frequency check: 80 LVL

Go to more complex statistics collection intacts on requests from Yandex.

Example # 1.

Let's start with the operator "" and we formulate one rule of its use: if the same pretexts or words are present in the phrase enclosed in quotes, then one of them is replaced with an existing word in the attached request. For example, consider the request "car on credit Moscow."

If you add another pretext "in" before the word "Moscow" to this keyword, we will receive the following data.

Thus, the repetitive pretexts "B" were merged, and another word was added to the requests. For different requests, these are words "buy", "bu", "new", "pledge", used. "" Emboss ".

This reception is an incredible tool for information sites, the main purpose of which is the growth of traffic. It allows you to choose from the subject the entire range of requests that include a specified number of words, for example, all requests on the subject of 5 words. As a rule, very extended requests from 5-7 words are less competitive, to attract traffic accordingly and take high positions on them easier. And if these requests are not inferior in high-frequency requests? The sample of the most high-frequency and least competitive requests will allow you to quickly achieve results. Let's consider an example.

In this request, we ask the Wordstat to show the range of requests, which includes 7 words that define the words "instructions for use". 5 words "instructions" are combined, one remains one, 4 words are replaced with new invested requests. We look at one of hundreds of invested requests, the frequency of request from 7 words is 8090 shows per month. To compare the request to "buy a car in Moscow" has 647 shots per month. The template rupture has not happened yet? Then go on.

Example # 2.

Now they will go into battle more complex operator () and |, with it, we will collect the pool of requests, from which in the future we can make tag pages. Take for example a request to "buy a BMW car". This brand of cars, her series can search for the most different requests: "buy a BMW car", "Buy BMW X 6", "buy a BMW 5 car", etc. In order to receive a pool of requests without repetitions, we use a regular expression:

Buy (car | Machine) (BMW | BMW) - Schedule -Photo -Not - Wrongs - Too-buy - What

Add a number of irrelevant minus words at once, which are not suitable for our business. We obtain the following data that later is easier to structure.

This sample will help you easier to collect data for tag pages and data clustering.

noteIt is impossible to use operators in one expression "" and () |. The logic of the operation of one operator violates the logic of the other.

Example # 3.

This example is suitable for rapidly structuring information sites or collecting tags for online stores. For example, we will take an informational site about fishing and try to quickly get the main directions and places of fishing through the grouping of requests for pretexts. We will make it a simple regular expression:

Fishing (+ with | + on) -Igra -Free-Wood -Sour

Minus words, of course, you need to add, but in this case it is just an example. We get this result:

Example # 4.

The sharing of operators will help you delimit similar by writing, but different requests in meaning. For example, the request "buy a tour to Moscow" implies sightseeing train in Moscow.

Request "Buy a tour in Moscow" implies accounting of a geoposition of a user to buy a tour of Moscow.

Example # 5.

Another example of a regular expression that will help you to collect requests for tag pages or catalog filters in the swimwear niche.

Even if these examples do not belong to your niche, we hope they will help you improve your work skills with Wordstat. If you have any questions, you found mistakes, or want to add an article, please write in the comments, we will gladly answer you!