How to find out the frequency of search queries in Yandex? Instructions for SEO. Types of search query frequencies or why one-word position does not guarantee receiving traffic

Hello, dear readers!

The idea came up to combine all the articles related to the topic of search query frequency. And so I hasten to implement it.

Today we will talk about analyzing the frequency of search queries, combining all the knowledge accumulated in previous texts.

Request frequency

First of all, let's again decide how we will group requests. It’s no longer a secret that low-frequency (LF), mid-frequency (MF) and high-frequency (HF) speakers stand out. But how do you determine which group to assign a request to? Previously I proposed this scheme:

LF – up to 700 requests per month;
MF – up to 2000 requests per month;
HF – all the rest.

This scheme is still valid, but it is applicable to SEO topics.

In reality, most SEOs are guided by the following scheme:

up to 1000 – low-frequency;
1 – 10 thousand – midrange;
over 10 thousand – high-frequency speakers.

This formula is also correct, but it is considered general. If you work in competitive areas where it is extremely difficult to break into the TOP of search engines, then these numbers decrease.

Now you understand that it is better to determine the frequency depending on what topic your resource belongs to.

LF, MF and HF

I think there is no need to describe in detail each type of request, its features and nuances. All this has already been described in sufficient detail in previous articles, you just need to read them:

This topic has also been raised several times in previous articles (for example, in the article), but, as they say, repetition is the mother of learning.

So, there are three services that are suitable for analyzing the frequency of requests:

Google Adwords
Rambler.Adstat

The most accurate is Yandex.Wordstat, because it covers more than 50% of the Russian-speaking audience (through search engines Yandex, Mail, etc.), accordingly, the numbers here are the closest to the truth.

In second place is AdWords from Google. The RuNet coverage area is about 30%, so the accuracy of determining queries is lower here. But still, this service should not be discounted.

Rambler.Adstat, whose statistics cover about 10% of the RuNet, determines the frequency of requests worst of all. Read about Google.Adwords and Rambler.Adstat in the article "". Let's talk about Wordstat in more detail.

Wordstat

You can access this service using this link.

By entering a search query, you will get a picture of its frequency. Don't forget to use Wordstat operators:

If a query is entered into the window (PVC windows), then it will be counted how many times this query was typed in Yandex (PVC windows, cost of PVC windows, buy PVC windows, PVC windows in Moscow, etc.)
If the query is entered in quotation marks (“PVC windows”), then the number of times this query and its word forms (PVC windows, PVC windows, PVC windows, PVC windows, etc.) will be counted.
If you enter a query in quotation marks and with an exclamation mark before each word (“!windows!pvc”), it will be counted how many times this particular query has been entered.

Therefore, if you need to know the exact number of requests, then use quotes and exclamation marks.

When determining frequency, do not forget that a low-frequency request is not always low-competitive, and a high-frequency request is not always highly competitive. Therefore, be careful and try to determine both the frequency and competitiveness of the request.

Hello, dear readers of the blog site. Today I want to continue my research in the field of definition and further periodic checking positions occupied by my site in search results. It’s useful to always be aware and know for which requests the promotion is going well, and for which ones it is stalling or even rolling back, in order to understand the reason in time and take action.

What is noteworthy is that our hero today, whose name is Topvisor, knows how to not only take positions, but also offers collect a semantic core for you, i.e. helps you select the very keywords (future search queries) that you will use in the future.

In addition to displaying the daily dynamics of changes in the positions of your site (in Google, Yandex and Mail.ru) and the frequency of these requests (exact or general, at your discretion), Topvisor can also show the traffic that you received for each specific request at one time or another day. Find out detailed information about Topvisor: prices, features, comparison with competitors.

There is also color differentiation in the summary table, which visually helps to assess how good everything is and what general trends are observed. In addition, they recently had the opportunity remove positions in Yandex (and soon in Google) for free. How, you ask? Well, let me create intrigue and say that you will read about this in the continuation of this publication.

Features of the TopVizor online service

I think that before proceeding with a detailed description of all the possibilities of this online service, you should briefly describe all the features currently available in it. What’s remarkable is that new functionality appears with enviable regularity, which is good news.

Queries for which you want to track positions can be downloaded manually (by copy-paste or from a file), or you can select them directly in the Topvisor window, and it will cost mere pennies. In other words, without leaving the cash desk, you can sketch out a semantic core either for the entire project or for individual articles.
In this case, you only need to indicate the initial phrase (main) for which in Wordstat Both columns will be copied, and there you can also pull out keywords containing this phrase from search suggestions Yandex, Google and Mail.ru. Get a whole mountain of keywords, which you then sift through using the two points below.
For all queries you enter, you can, and not only the general frequency is available, but also with filtering out dummies (accurate). Thanks to this, you can eliminate all unpromising keywords from the semantic core being collected.
Completely free of charge, along with the frequency, and will be determined, which is usually assigned to this request.
Why is this necessary? And in order to understand which keywords are highly competitive and, perhaps, exclude them from the seed (in any case, that’s exactly what I do for my information resource).
It is possible to give Topvisor access to your account data in Yandex Metrica and Webmaster in order to see exactly how many visitors came to you for this specific search query (very clearly and may make you think about setting up a more attractive snippet or title).
At the same time, in summary statistics for your site you will be able to see the number of visitors who came from the three main search engines of the Runet over the last 24 hours, track the dynamics of changes in the number of indexed pages and the number of backlinks leading to your resource.
If the structure of your site is such that you use subdomains, then it is not at all necessary to create a new project for each of them - just check one box when adding the main domain.
SEO offices and freelancers may find it convenient to have the option of providing guest access to an account in Topvisor with a fairly flexible system for setting up guest capabilities. If necessary, you can even completely transfer the account into the hands of another user; you just need to indicate his Email in this service for online checking of positions and assembling the semantic core.
And, of course, reports.
They can be generated either manually on the page for viewing position dynamics, or configured to be automatically sent to the specified Email weekly or monthly.
Valid in Topvisor referral program with a very high percentage of return - 10% of the amounts spent by the clients you attract. They already have advertising materials in the form of banners of the most popular sizes, made in the colors of the main site, which is quite logical.
Naturally, first you will need to register, and then just click on the banner of the required size and its code will automatically fall into your clipboard with the . Lepota.
A log is kept for all paid transactions performed in the service, where you can see a report on every penny. You can top up your balance with traditional WebMoney and, and through Robokassa with everything else. For , LLC and everyone else, it will be possible to enter amounts of more than five thousand rubles by bank transfer.

Registration in TopVizor, adding a site and setting up a project

Well, now let's talk about this in more detail. Just as a theater begins with a hanger, so work in an online service begins with registration. The button located at the top of the window serves this purpose. Topvisor home page button "Registration".

It will be enough to indicate your Email and you will be automatically authorized in Topvisor (the password will then be sent to the specified mailbox).

If desired, you can log in and without registration— using an account in one of the social networks you use (will only work in the same browser where you are logged in to the social network).

The first thing you will see after logging in to topvisor.ru is a page with data on your projects, which, in fact, does not exist yet. But you will have 10 rubles on your balance, which will allow you to test the capabilities of this service.

Let’s create our first project in Topvisor without delay by simply clicking on the plus sign in the upper left part of the window. You will be prompted to enter the domain name of the site you are researching:

After this you will be promptly offered select those search engines(out of three possible) in which you plan to shoot positions for this site. I apologize, while I was writing the beginning of this review, in the Topvisor interface, in addition to the traditional Yandex, Google and, interregional Yandex.com and Google.com appeared in the drop-down list.

To add search engine you will need to use the button located on the right. Moreover, if you add the usual Yandex and Google, then you will still need to select a region for them, for which positions will then be removed. You can select several regions if necessary, but for each of them positions will be charged separately.

As you know, there are geo-dependent queries and not (for example, “pizza delivery” and “Pushkin’s poetry”). In the first case, everything is clear, but in the second, you need to select exactly the region in which you want to see positions for this request, or any other, because if the request is geo-independent, then the output should not differ. For example, I personally use the “Russia” region to monitor such projects.

Red crosses are used to delete a search engine or an unnecessary region, and the switch on the right is to temporarily cancel the removal of positions for a given search engine. For interregional Go.mail, Yandex.com and Google.com, you do not need to select a region. Please note that there is no Save button anywhere, because everything is applied on the fly, which is quite unusual, but cool.

Yes, I also want to say that this is where you can uncheck the proverbial box "Ignore subdomains", in order to implement the opportunity mentioned just above in the text (do not add all subdomains separately).

And also note that for the Google search engine it is possible to set the interface language (search results):

Why is this necessary? For checking positions in the burzhunet. If I run a request in French in the Paris region with a Russian interface and a French one, the results will be different. If we are interested in the results for a native resident living in France, and not for a Russian tourist in Paris, then we need to choose the French interface (issues in this language).

Let's also go over the rest of the settings in the Topvisor interface, since we ended up here by the will of fate. The next tab is called "Check Intervals" and here you can choose one of three main options (daily withdrawal of positions at the hour you need, after a Yandex update, or you yourself decide that it’s time to find out the truth), and you can also suspend work on this project altogether (move it to the archive ) for some reason.

Next up is the tab "Integration". Here you will be free to configure uploading to Topvisor, and you can also get some data from it. If you have both of these services linked to one Yandex account, then by connecting one of them, the second will connect automatically.

After integration, your counter number will be displayed in Metrica, and it will also be possible to force update the data downloaded from these services (usually they are updated automatically once a day).

As I mentioned, you can set up weekly or monthly if you wish. receiving reports about removed positions in the form of a CSV file to the Email specified here (for yourself or for the client you have agreed to promote the site):

On the tab "Access" you will be able to add the Email address of the respondent to whom you want to grant full or reduced rights to manage this project (your main Email will be given maximum rights by default). The only thing is that this user must be registered in Topvisor.

And finally, on the last settings tab, you can transfer control of this project for taking positions for this site to some other user of this service, whose email will need to be specified in the form available there.

But that's not all. Remember what I talked about opportunities to determine positions for free by transferring your limits from Yandex.XML. What is it?

Well, if we talk about XML from the RuNet mirror, then it can be compared with what I previously described, but in the case of using XML, the flexibility and options for using this version of search significantly increase (for example, the same technology still uses this technology to access the Yandex database).

But that's not the point. The main thing to understand is that output in Yandex.XML is almost identical to the main one (differences usually appear only on the eve of the next update), which means it is quite suitable for checking positions.

But XML for Topvisor is a backup option in case it is not possible to remove positions from the main search results due to force majeure circumstances. In order not to load your servers in Yandex.XML there are limits on the number of requests, which are allocated to each site wishing to use this technology. Naturally, Topvisor’s own limits are not enough to meet the needs of all its users.

However, limits can be transferred officially. That’s why they offer you to transfer the limits you don’t need, and in return receive a certain amount free position checks(10% of the number of transferred limits). Once again, I would like to draw your attention to the fact that the use of XML will be used in Topvisor only in the event of force majeure, and you can remove positions for free at least every day.

In order to find out the limits allocated specifically to you, go to this page, check the box at the very bottom to accept the conditions and, by going to the “Information about limits” tab, you can find out the limits allocated for those sites that you have on this account in Yandex Webmaster:

To transfer limits, use the link provided there. For more details about this case, watch the video:

Instructions for transfer are located on the “Yandex-XML” tab (you will need to select “Profile” from the context menu of your login).

On this Topvisor page you will need to indicate your Yandex login and the URL of the site whose limits you transferred.

That’s it, ten percent of requests from the total number of transferred limits (in my case it’s 370) can be processed every day for free, which is good news.

Adding queries and selecting a seed using TopVizor

That’s it, we’re done with the settings and it’s time to move on to a very interesting feature of this online service, namely the selection of the semantic core. To do this, you will need to go to the “Kernel” tab from the top menu. Here you will find Malevich’s gray square with a large plus sign on it. Great, that’s what we click on.

In the above screenshot, one group has already been created with search queries, for which positions will then be removed, but you are not looking at it. After clicking on the plus sign, an empty form with the name “New Group” will appear to the left of it. By double-clicking on this name with the mouse, you will be able to change it.

Let me make a reservation right away that by clicking on the green dot next to the name of the request group, you will repaint this very dot red, which will entail stopping the removal of positions for this group. But we are currently interested in ways to fill out the form that appears with keywords related to our site.

There are several options adding queries for checking in Topvisor:

You can enter one key phrase at a time in the “add request” field at the very bottom of the form that opens and click on the small plus sign located next to it. The keyword will jump into the form and remain there until you click on the cross that appears to the left of it or drag it with the mouse to another group of queries on the same page.
You can also drag the entire contents of the form with the mouse by grabbing it by the icon located in the lower right corner (see the screenshot).

If you already have a ready-made list of keywords (for example, I have one and I periodically, but the problem was that this list contained thousands of keywords and it took several days of manual labor to remove), then click on the second icon from the located at the top left of the toolbar.

There is also a cloud with an up arrow drawn on it and it is highlighted in both upper screenshots. Found it? Amazing.

In the window that opens, you will again have two options: either using the copy-paste method via the clipboard, paste a ready-made list of keywords into the form provided (one key per entry), or upload a ready-made file in which the queries are presented in the same form.

Please note that in the lower part of the window you are free not only to select one of the existing keyword groups, but also to create a new one, which can sometimes be useful. Well, don’t forget to click the “Download” button.

The third method may be useful to you when, for example, you are just planning to write an article on a certain topic, but are not yet quite sure what search queries you will optimize it for in order to have a chance to get to the Top for them and, what is much more important, to understand , will you receive traffic on them at all, even if you get into Top1.

In other words, we need to collect and sift from dummies and unpromising requests semantic core. Typically, for this purpose, webmasters have two sources for obtaining a list of keywords - called Wordstat and search suggestions from Yandex, Google or Mail.ru, which can be parsed programmatically.

Actually, TopVizor brings to your attention precisely these tools for collecting and expanding the cotyledon. Well, he also offers collect frequency for all these requests, as well as determine the cost per click in Yandex Direct.

If the request turns out to be not in demand (for example, less than 20 entries per month), then you can safely remove it from the list. Also, if the price per click on it in Direct is fabulous, then you should think about the prospects of spending money on its promotion.

Let's see how all this is implemented in practice in Topvisor. To do this, on the toolbar of the “Kernel” tab, you need to click on the fourth icon shown in the screenshot:

A window will appear with the option selecting a parsing area(Wordstat or search tips). When you select Wordstat, you will have the opportunity to collect data not only from the left column, but from the right, simply by checking the “Searched for this” checkbox.

Let me remind you that the left column of Wordstat displays phrases that include what you set as a starting point, and the right column displays associative queries that users asked Yandex in the same search session.

After you start parsing, you will have several new groups (for each initial request and for each Wordstat column), where, at the moment of receiving data, a snake will run or the glass will begin to fill with Tetris figures. At the end of the process you will receive the corresponding lists:

For example, for the phrase “website promotion” we received data from the left and right columns of Wordstat in the form shown in the screenshot. Please note that for some of the keywords the frequency (second column of numbers) and the cost of a click in Direct (first) are already shown.

Where did they come from if we didn't film it? It’s just that other Topvisor users had already paid for this data, and he kindly offered us to use the numbers stored in the cache of this service. The more users there are, the less often you will have to pay for frequency acquisition.

To complete the picture and begin further analysis, we lack the semantic core data from search suggestions popular Russian Internet search engines. By definition, these are the most frequently asked questions to the search, which are slipped to everyone in order to facilitate the work of finding the necessary letters on the keyboard.

Parsing hints in this service is activated by the same fourth button on the toolbar of the “Kernel” tab, but in the window that opens you will need to select another option from the drop-down list:

You can collect tips from all search engines, or only from the ones you need. In addition, just below you can select depth of hints(from 1 to 3). What is it? A good question, which is not so easy to answer in words, because it is easier to see and hear from the lips of a popular blogger:

Each search engine will have its own group of queries taken from the tips. Please note that the scraping cost displayed at the bottom of the form will depend on both the number of search engines selected and the depth of the suggestions. It can vary from ten kopecks to one and a half rubles, which, in general, is not much at all.

Checking the frequency of queries and the cost per click for them in Yandex Direct

Here, look. We collected queries from the left and right columns of Wordstat, parsed the search suggestions and obtained a whole set of keyword groups. Now it's time get rid of dummies and unpromising. To do this, you will need to hit all these key phrases.

The fifth icon on the toolbar of the “Kernel” tab serves this purpose. In the window that opens, you will be free to choose which frequency you want to determine (out of three possible ones, described below), in which region and whether you want to save money by checking the box that prohibits updating existing data (that you or other Topvisor users took) .

But at the most interesting moment, I ran out of the ten rubles that were given upon registration. Therefore, I had to select the “Bank” item from the drop-down menu of my login and go to the tab in the window that opens "Payment".

Actually, I already mentioned the available payment methods, but, as usual, I used my WebMoney wallet.

After making the payment, I still launched a particular search for all collected requests, which was accompanied by a wave-like striping of the button:

After a few seconds, an orange sign appeared asking you to refresh the page and view the results.

If you suddenly still do not see the value of the frequency of their use for all requests, then do not rush to scold Topvisor and demand your money back.

The fact is that you can take three values frequency (general, phrase and exact). For example, I shot phrase, but by default, general was selected in the top drop-down list. Therefore, by simply selecting the phrase frequency, I got the oil painting shown in the screenshot.

Yes, I forgot to say a few words about these very frequencies. There is nothing complicated about this and the roots of this gradation go back to what I described, namely quotation marks and an exclamation mark placed before the word. These same operators and with the same purpose can be used in the Wordstat window when entering a query (enclose it in quotes or put it! before each word).

The requests collected in each group can be sorted alphabetically, by frequency, and also by cost per click in Yandex Direct. If there are a lot of keywords in the group, then you can use internal search.

Now all you have to do is go through all groups of requests and delete those that have frequency close to zero and whose cost per click is off the charts. For example, the request “site promotion” has a price for Special Placement of 45 rubles per click (perhaps this particular option for displaying the price best characterizes the prospects of promotion), which is too expensive and indicates monstrous competition for this key phrase.

I would never optimize for it, although there are cases when promotion by midrange brings a site to the Top by midrange. Actually, my blog is no longer in the Top 10 for the phrase “site promotion” (although it was in ninth position), but even the current place on the second page is explained only by the action of the Spectrum algorithm, and not by my financial investments.

When you remove everything unnecessary, you can drag all the key phrases into one group and delete the unnecessary ones. With this, adding queries and assembling the core has come to an end, and we continue to study Topvisor’s capabilities for checking and displaying site positions in Yandex, Google or Mail.ru results.

Checking site positions in TopVizor

Go to the “Positions” tab from the top menu. Let me immediately make a reservation that you can also get there from the context menu of your login by selecting "Projects" and clicking on the icon shown in the screenshot on the page that opens.

Please note that I allowed Topvisor to take data from my Metrica and Webmaster accounts, so I can clearly observe the dynamics in the following parameters on this page:

The large green button is used to manually start the removal, and the cost of such an operation is displayed below.
The number of visitors over the last 24 hours who came to my website from the search engines Yandex, Google and Mail.ru (for each separately)
Number of pages in the Yandex and Google index
Number of backlinks according to Webmaster
Titz and Pr
Availability in - by clicking on the green checkmark you can go to the page of this catalog with a description of your site

But we digress, now let’s finally go to the tab "Positions" and let's see what's what.

From the top menu, using the drop-down lists, select the search engine, region, as well as the group of queries for which you want to see the dynamics of changes in positions recently.

A little to the right is a window for selecting the reporting period and buttons for uploading data in CSV and Html format (the latter allows you to both send data by mail and download it to your computer).

If you look carefully at the table with the removed positions, you will notice that next to some positions there are numbers (other than zero) taken from Metrica, which indicate how many people came to your site that day by entering these words in that search engine for which you are viewing positions.

There is a separate column with the frequency of these requests. But which of the three possible frequencies is displayed and how to change them? Quite simple - click on the word “frequency” and it will be displayed with quotation marks, with an exclamation mark, or in its natural form. Very convenient, in my opinion.

At the top of each column is the date the positions were verified. If you click on it, the data in the table will be sorted by the values of the numbers in the column. Under the date, you can see the percentage of queries that made it to the Top 10 and the total traffic that they brought to your resource.

What is noteworthy is that if you click on any position in this table, you will go to the page of your site that is the target (landing) page for this request according to the version of the search engine that you selected from the top right list. The URLs of these pages also end up in the CSV file when uploading.

Sami cells with positions have color differentiation according to the following principle:

Who can benefit from this online service?

It turns out that the service will be convenient not only for those who check positions, but also for those who work with the semantic core, and this could be, for example, people who use contextual advertising systems or other users who need to select keywords.

What is noteworthy is that during testing there was not a single lag associated with the slow operation of this online service. It seemed like you were working with a desktop program. How did you, dear readers, find the Topvisor service?

How to correctly check the frequency of search queries in Yandex and clear them of “garbage”? Which operators should be used to maximize keyword detail? How to check basic and exact frequency? More details about everything in this article.

Frequency is the number of impressions of search queries received by users over a certain period of time. In the Yandex WordStat service, these statistics are displayed for the month. Most webmasters and website owners are familiar with this service, however, even many experienced specialists do not fully understand the full application power of this tool.

Checking the frequency of queries in Yandex for dummies

In order to check the base frequency, you need to enter the desired keyword into the WordStat search bar. By default, statistics are displayed for all regions and devices, however, you can detail them by desktops, mobile devices, phones only, and tablets only. In addition, the service automatically shows similar keywords, provides the ability to view the history of specific search queries for 2 years, as well as detail queries by region and city. In this article we will only look at statistics for keywords, all devices and WordStat regions.

Let's consider the display of the base frequency of WordStat for the request “buy a lock”.

Thus, the number 244,253 next to the phrase “buy a castle” indicates the number of impressions per month for all requests with the keyword “buy a castle”: “buy an ignition switch”, “buy a door lock”, “where to buy a lock”, “buy a door lock”, etc. The top number of impressions is the sum of all lower impressions for all displayed words.

But how, in this case, can you check the number of impressions strictly for the request “buy a lock” (door lock), removing all non-thematic garbage: “children’s locks”, “ignition switches”, “car lock”, etc. There are WordStat operators for this purpose.

6 operators to clarify requests

WordStat statements- these are symbols that will help you more accurately formulate the key phrase to obtain statistics. There are currently 6 of them.

Operator	What does	Example Keyphrase	Display statistics
!	Rigidly fixes the word (tense, gender, number, case)	buy a castle in! Moscow	buy a castle in Moscow buy a door lock in Moscow buy a castle moscow
" "	Quotes indicate the number of words in the query	"buy a castle"	buy a castle buy a castle buy a castle in Moscow
+	Plus records all particles, prepositions and function words in the query. By default they are ignored	buy a lock + for the door	buy a door lock buy a lock for the front door buy a door lock
-	Minus removes all unnecessary words from the query	buy a car lock	buy a door lock buy an ignition switch buy a car lock
	Square brackets fix the order of words in the query	buy [door lock]	where to buy door locks door locks buy Moscow buy a door lock
() and \|	Pipe (vertical bar) and parentheses help when grouping complex queries	buy a lock (inexpensive\|door)	buy a door lock buy locks inexpensively buy a door lock inexpensively

The beauty of operators is that they can be used with each other. The combined use of operators to detail queries gives a good webmaster a powerful SEO tool that will help not only to assemble a high-quality semantic core, but also to isolate from the entire mass of queries exactly the necessary objective statistics without semantic garbage.

Determining the exact frequency of the request: Pro level

Let's try combining operators and see what happens. For example, let's take the new request “buy a car”. Base frequency of 1,533,200 impressions per month across all regions and devices.

This is a very broad query that includes many other subqueries from different niches, for example, “buy a washing machine,” “buy an Audi car,” “buy a dishwasher.” How can we drill down into these queries? Let's say we are interested in washing machines.

If we want to see the exact number of requests for the key phrase “buy a washing machine,” we start using the operators: quotes and exclamation point. That works out to 9,257 impressions per month. Note that the number of impressions in the table remains basic.

To look at the same query, but at the same time strictly fix the sequence of words in it, excluding, for example, the queries “buy a washing machine”, “buy a washing machine”, add the operator . The exact number of impressions for this particular phrase, preserving the form and sequence of words, is 8903.

Note that if we change the sequence of words in our regular expression, we will get a completely different result of impressions - only 308. It is quite logical and intuitive that the number of people who are looking for a washing machine are more likely to base their query on the word “buy” ".

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

This is how, for example, you can fix a preposition in a query and add a geo-dependent word. Please note that the screenshot is collecting statistics for all regions of WordStats, and not just for Moscow.

Let's move on. Let's assume that you sell only washing machines without related products. The request “buy a washing machine” includes many subqueries, including “buy a sink for a washing machine”, “buy a heating element for a washing machine”, “buy a hose for a washing machine”. To collect the necessary semantics, you will spend a lot of time checking each request using the " " and! operators. In this case, the minus operator will help us.

This way, you clear out the junk queries in your statistics by filtering only relevant keywords for your business.

Frequency check: 80 lvl

Let's move on to the more complex intricacies of collecting statistics on queries from Yandex.

Example #1

Let's start with the " " operator and formulate one rule for its use: if a phrase enclosed in quotes contains the same prepositions or words, then one of them is replaced with the existing word in the nested query. For example, consider the request “car loan Moscow”.

If we add another preposition “in” to this keyword before the word “Moscow”, we get the following data.

Thus, the repeated prepositions "in" were combined, and one more word was added to the queries. For different queries, these are the words “buy”, “used”, “new”, “pledge”, used”, “register”.

This technique is an incredible tool for informational sites whose main goal is to grow traffic. It allows you to select from a topic the entire range of queries that include a specified number of words, for example, all queries on a topic of 5 words. As a rule, very advanced queries of 5-7 words are less competitive, and therefore it is easier to attract traffic and take high positions for them. What if these queries are not inferior in impressions to high-frequency queries? Selecting the highest frequency and least competitive queries will allow you to quickly achieve results. Let's look at an example.

In this query, we ask WordStat to show a range of queries that includes 7 words that necessarily contain the words “instructions for use.” 5 words “instruction” are combined, one remains, 4 words are replaced with new nested queries. Let's look at one of hundreds of nested queries, the frequency of a 7-word query is 8090 impressions per month. For comparison, the request “buy a car in Moscow” has 647 impressions per month. Has the pattern broken yet? Then let's move on.

Example #2

Now the more complex operator () and | will come into play, with its help we will collect a pool of requests, from which we can later make tagged pages. Let’s take for example the request “buy a BMW car.” This car brand and its series can be searched for by a variety of queries: “buy a BMW car”, “buy a BMW X 6”, “buy a BMW 5 car”, etc. In order to get a pool of requests without repetitions, we use a regular expression:

Buy (car|car) (BMW|bmw) -mileage -photo -won't -start -download -used -what

Let's immediately add a number of irrelevant negative keywords that are not suitable for our business. We get the following data, which is easier to structure later.

This sampling will help you more easily collect data for tagged pages and data clustering.

Please note, you cannot use the operators " " and () | in one expression. The logic of one operator violates the logic of another.

Example #3

This example is suitable for quickly structuring information sites or collecting tags for online stores. For example, let's take an information site about fishing and try to quickly get the main directions and fishing spots by grouping queries by pretext. Let's do this with a simple regular expression:

Fishing (+s|+na) -game -free -download -Russian -hunting

Negative words, of course, need to be added, but in this case this is just an example. We get this result:

Example #4

Using operators together will help you distinguish between queries that are similar in spelling but different in meaning. For example, the request “buy a tour to Moscow” implies an excursion train V Moscow.

The request “buy a tour in Moscow” implies taking into account the user’s geoposition to purchase the tour from Moscow.

Example #5

Another example of a regular expression that will help you collect queries for tag pages or directory filters in the swimsuit niche.

Even if these examples are not relevant to your niche, we hope they will help you improve your WordStat skills. If you have any questions, find errors, or want to supplement the article, please write in the comments, we will be happy to answer you!

Hello, dear readers of the blog site. Today there will probably be a rather boring article about working with search query statistics from Yandex, Google and Rambler. Well, what could be interesting in analyzing the frequency or number of questions entered by users into search engines?

Therefore, it turns out that if you write articles yourself, then your project is simply doomed to success and high traffic, the lion’s share of which will be provided by transitions from Yandex and Google (search traffic). But, unfortunately, in the real world this is far from the case and everything is to blame for the notorious search query statistics, damn it.

Why bother with search query statistics?

The fact is that the statistics of queries from Yandex, Google or Rambler (Wordstat is usually the most popular) can negate all your attempts to attract users from search engines by writing interesting, absolutely unique articles, but blindly optimized for randomly selected queries.

This is exactly what happened with most of the articles on my blog site, when I finally decided to conduct a full analysis of all the keywords that may be related to my blog in Yandex statistics.

The results mostly disappointed me, although there were some successful articles that could attract visitors from a huge number of keywords at once, often with a very high frequency. But let’s still begin to deal with the problem of accounting for statistics on search queries from Yandex and, to a lesser extent, Google (well, although this system can probably already be classified as the living dead).

The problem is that by working blindly (without preliminary drafting at least for the article that you are writing at the moment), you can seriously miss and optimizing the text of the article and internal linking (link anchors from other pages of your site to the promoted page) are not at all for those search queries that can bring you a large number of visitors.

It’s very easy to miss the intuitive selection of promising queries, but then it will be very disappointing to see in the statistics of Yandex or Google that they turned out to be dummies (i.e., search engine users extremely rarely use this particular combination of keywords in their questions).

No, of course, if all webmasters were in the same conditions and no one had the opportunity to view and analyze statistics in the same Yandex, then there probably wouldn’t be such a problem. But the statistics of requests from search engine users is available to everyone without restrictions, and by not using it, you are simply putting yourself in unfavorable conditions.

You should not listen to the “trolls” who shout that you have lowered your SDL (project for people) to the level of GS (a project for making money, designed for a short life cycle) by first compiling a small semantic core for a future article, using online services for this statistics of Yandex or Google and Rambler search queries.

This is due to envy or their “troll” nature. But you shouldn’t spam the text of the article with keywords - in this case, you can ruin everything.

Let me first provide factual information, and only then will I pour water on the matter your experience working with search query statistics, mostly Yandex (I don’t know how to write briefly, so there will be a lot of letters; sorry, but it seemed to me that this was all important). So, the facts. Why do you think search engines like Yandex, Google or Rambler give you the opportunity to dig into their statistics?

After all, optimizers (Seo specialists) have always been on the other side of the barricades in relation to search engines. Do you know why? There is no place for any principled considerations or ideologies. Everything is tritely simple and, as one would expect, comes down to money, because optimizers take away from search part of their main source of income from contextual advertising. A large number of potential Direct or Adwords clients receive visitors to their projects using the services of optimizers (SEO specialists).

Therefore, it looks very strange that Yandex and Google give optimizers (you and me) access to search query statistics. The answer here is again tied to the main way search engines make money - contextual advertising. The fact is that context advertisers need this information to compile the most or Google Adwords. It is thanks to them that this request statistics is available to us too, and it would be a sin not to use it in our personal (selfish) interests.

Yandex, Google and Rambler statistics services

In my unprofessional opinion, there are three or even four main sources for obtaining direct (there are services that collect data from these services automatically - they parse them) statistics of search queries:

How to work with Yandex query statistics

I am not a professional SEO specialist, so for me to understand the overall picture and compile a semantic core, Yandex statistics are quite enough, although it is possible that when promoting a project using very high-frequency phrases, it would make sense to clarify the data in Rambler or Google services, but I do not need this.

A little theory. Search queries and keywords very often confused with each other, so I’ll try to clarify. A search query is a set of words that any user types in the search bar. There are sets of words that are searched very often (high-frequency queries or HF), there are less popular combinations of words (mid-frequency or MF), and, of course, there are sets of words that are rarely found (low-frequency or LF).

I don’t draw a clear line between these queries based on the frequency of their impressions, but it is usually considered that if a set of words has a frequency of over 10,000 impressions per month, then it is high-frequency. If a phrase has a frequency of less than 1,000 impressions per month, then it is low frequency, but mid frequency lies somewhere in the middle. But these figures are more than arbitrary and strongly depend on the topic.

It is clear that it is best to choose more frequent queries for the future semantic core, because if you get on the first page of search results, you will receive a very large influx of visitors. But it will most likely be very difficult to advance in HF or MF, because there will probably be a lot of other webmasters as smart as you.

Therefore, when selecting search queries for the future semantic core, both for the site as a whole and for a separate article, you should correctly calculate your strengths - otherwise you may not get a single visitor at all via HF, because you will not be able to get even close to the Top 10 (first page of results).

True, there will not always be many people willing to promote themselves for high-frequency and mid-frequency queries. There are cases when the competition in HF and MF is quite low and everyone has a chance to make it. Here you need to look and analyze those sites that are in the Top for your chosen query. If there are not very trusted resources there, then you can try to fight.

When we come directly to optimization, this is where we talk about , which essentially represent individual words from the queries you have chosen, for which you will try to advance and get to the Top (the first ten sites in the search results).

Very often, the dozen search queries selected (as a semantic core) for a given specific article may consist of only a few keywords, which you will need to use N number of times in the text of the article and be sure to include them in the Title. Moreover, at the beginning of the Title, include the words of the more frequent request and then in descending order. For example, the semantic core of this article can be said to consist of:

I checked the frequency according to Yandex statistics, enclosing the given words and phrases in quotation marks to weed out obvious dummies. Those. I started by typing something like “query statistics” and got a bunch of possible options with these words, as well as a bunch of associative queries in the right column. I checked each of the proposed options for the actual frequency of impressions by enclosing them in quotes and as a result I received the list given just above.

As you can see, with all the richness of phrases from the semantic core of the article, there are not so many keywords for which I should optimize the text. Now you just need to create the correct Title for the page with the article, so that at the beginning there are keys from the most frequent request, and use each keyword in the article from one to two percent of the total number of words in the article.

Be careful not to spam the text and increase the density of keys to 3 percent or more - it is possible to exclude the article from . It is better to use keywords in different word forms (do not try to cram only direct occurrences into the text), in accordance with the logic of your narrative. I once mentioned that online service where you can conduct articles on the density of occurrence of keys.

As you can see, this article seems to have everything in order, except that the frequency of the first word (I am not citing it so as not to further increase the density of its occurrence) should be reduced. You can ignore the nausea indicator, because... it is calculated there as the square root of the most frequently used word, which means that the larger the text, the higher the nausea will be, which is not logical. And in general, nausea has already sunk into oblivion.

Let's summarize again. After you sketch out on a piece of paper those queries (analysis of statistics in Yandex usually takes a few minutes) from which you expect to receive an influx of visitors, you will need to isolate keywords from this semantic core of the article and be sure to use them in the Title of the promoted page (which the higher the frequency, the closer to the beginning of the Title tag) and use keywords selected from the semantic core in the text of the article with frequency from 1 to 2 percent of their total number.

I admit that I started writing articles based on Yandex query statistics only a little less than a year ago, and doing it with my eyes completely open only about a month ago. And the reason for this is not laziness at all (I don’t have a lot of it), but rather some inertia (not flexibility) in relation to something new. Well, like, I’ve always done this and will continue in the same spirit.

But sometimes you need to take a breath, look around and understand whether you are moving in the right direction. It is precisely the use of Wordstat to analyze your project that allows you to look around and change the direction of movement if necessary. For the last couple of weeks, I have been trying to extract from Yandex statistics all the options that may be relevant to my blog.

I do this manually, which is quite tedious, but I am gradually gaining an understanding of the overall picture of this entire kitchen (my eyes are opening). The brain is already melting, but the analysis is addictive and gradually reveals obvious mistakes, and also allows determine the topics of future articles, because what users most often type in search engines is what interests them most. And keeping up with the wishes of future readers is, in my opinion, a direct path to the successful development of the project.

By the way, when analyzing your project using Yandex query statistics, you may need to find out whether your site already has any positions for the word or phrase you are interested in. To do this, I use the capabilities of the program, which I already wrote about, but forgot to mention the possibility of determining the visibility of a site by the keys you need using this wonderful program.

You will need to go to the “Selection” tab of the Site Auditor program, enter the words you are interested in in the “Check” area and click on the arrow located on the right. You will be redirected to the “Site Visibility” tab, where you will need to enter the URL of your resource and click on the “Check” button.

As a result, you will see the position of your site for the keyword of interest in the Yandex and Google search engines. If no positions appear, it means your project ranks below fiftieth in the search results.

Good luck to you! See you soon on the pages of the blog site

You can watch more videos by going to

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Frequency of requests in Yandex

Before filling a website or blog () with content, it is necessary to determine which target audience the information on our website will be directed to and, accordingly, analyze frequency of requests, in order to find the most popular and capable of attracting readers interested in this information. Based on what users are looking for on the Internet, we will determine a site development plan, create a semantic core and write optimized articles for these key queries. In order to determine the frequency with which certain information is searched in the Yandex search engine, we will use the services of the wordstat.yandex.ru service (the link is inactive; to go to the site, copy the domain into the address bar of your browser). Initially, the following picture appears before your eyes:

The first thing you need to do is determine the geography of search queries. For example, my blog is aimed at visitors from all over the country, while niche ones are only for a specific region or city. Based on this, we narrow the geography of requests by separating unnecessary regions in the context menu on the side. It looks something like this:

What needs to be done next? Decide what you want to write an article about. For example, you want to write an article about how to get a loan, and you are looking for the desired search query for which your article will be optimized. For example, you decided to make the phrase “how to get a loan” the main search query in order to attract visitors to your site who will be looking specifically for information on this topic. If you enter this phrase into the Yandex search statistics service, you will see that it would seem that a large number of people are looking for information on this topic.

But in reality, is this really the case? You don’t have to think, but I’ll say right away that no! In reality, this statistic only means that a significant number of people are interested in searching for information related to this topic, but in fact, they may be interested in a completely different topic, such as “how to get a loan with a bad credit history.” And even more so, if you write the meta title tag and the title of the article for only one (main) search query, then you will miss the rest of the potential audience, because they are more interested in specific information, but not general information. What is so good about analyzing nested phrases and the “what else were users looking for” columns? First of all, using this information, we can:

add keywords that accompany this initial phrase. For example, in a text that is optimized for the original request, it is very desirable to also use the expressions: “without certificates,” “without guarantors,” etc. (from the left column of the service) and, for example, “loan secured by an apartment” from the right column. Why is this necessary? First of all, in order to cover as many keywords as possible in the article and increase the credibility of the article on the part of search engines (that the article is truly thematic, since it includes words on related topics)
build on their basis a strong internal linking system
take into account the more specific direction of the article’s material, that is, not just adding keywords, but also more detailed elaboration of the text

In principle, these are the main points that are worth paying attention to. Let's move on. Now we need to make sure that it is advisable to write an article on this particular topic, that is, count the number of queries in the Yandex search engine for a given phrase without accompanying phrases. This can be done by discarding all accompanying root phrases by quoting the phrase. To be precise, the quoted phrase shows not only the direct occurrence, but also the different inflections of the word or phrase. From here we conclude that the true frequency of a request is determined only by adding quotation marks and an exclamation mark to the search phrase:

Naturally, the results obtained do not always reflect reality, since competitive commercial demands are artificially inflated in order to lead a competitor astray from the right direction, but we do not take these factors into account.

Statistics services from Google

If you decide to place a targeted emphasis on website promotion in the Google search engine, then you will need the service for determining frequency from Google at just the right time. Personally, I don’t yet use this service to its fullest extent, because I don’t put much emphasis on website promotion for Google, making do with the Yandex service described above, but I think that it wouldn’t be superfluous to use information from a second resource. In fact, the foreign competitor of Yandex has two services, but I consider only one to be more informative. And here are the actual addresses of these services:

Statistics from Google Adwords - https://adwords.google.com/select/KeywordToolExternal
Google trends - http://www.google.ru/trends/

the links are inactive, just copy them into the address bar of your browser to go to the above sites. Well, with the first one, I think there will be nothing complicated, since this is a service for selecting keywords primarily for contextual ads and its mechanism is similar to the mechanism of action of the first Wordstat.Yandex service. Plus, the service will show the competitiveness of the request based on the presence of contextual ads, evaluate similar requests, and so on. The second service, as I understand it, evaluates the trend dynamics in relative values and I don’t see much point in using it now (after all, it’s better to use absolute indicators in this case).
Request frequency in other services (more precisely, in the services of other search engines), in principle it makes no sense to count. Well, perhaps the Rambler statistics service (address http://adstat.rambler.ru/wrds/) will help you assess the popularity of search queries in a given search engine.