Query frequency 1. What is query frequency and how can I find it out? Let's find out data about requests in Yandex and Google. Browser plugins for ease of working with Yandex Wordstat

In articles about website promotion, we often recommend the Yandex.Wordstat service. This is a simple, convenient and (what is important!) free resource, which is highly popular among Internet marketers and optimizers. Today we will analyze Yandex.Wordstat for spare parts.

Why do you need Yandex.Wordstat?

Yandex.Wordstat is necessary to track the statistics of search queries in the Yandex system. Based on these statistics you can:

develop a semantic core for the site ();
select anchors for links;
predict traffic to the site (how exactly -);
prepare an advertising campaign in Yandex.Direct;
find out the seasonality of demand.

What does Yandex.Wordstat show?

The total number of queries containing the desired phrase.

Requests for specified phrases that include the phrase you are interested in.

Other queries that were also entered by users interested in this phrase.

Yandex.Wordstat allows you to view general statistics (for all types of devices), as well as selective statistics for desktop (this includes desktop computers and laptops), mobile devices (these are phones and tablets), only phones, and only tablets.

The mobile-only search rate feature allows you to predict mobile traffic to your site and helps you make decisions about site adaptation. Although “mobilization” is a steady trend in recent years, so in any case it’s worth thinking about how to adapt the site for mobile devices.

Impression statistics in individual regions.

If you sell bicycles in Tomsk, you are unlikely to be interested in statistics for all of Russia. Just find the region you are interested in and click on the “select” button:

If you are interested in several cities at once, you can see a general summary by region by selecting the appropriate search:

Here the data is presented in actual and percentage values. Percentage values show regional popularity: values above 100% indicate that interest in the request in the region is above the Russian average, and conversely, values below 100% indicate reduced demand.

Information helps make strategic decisions about entering new markets.

Thus, for a large bicycle seller, entering Yekaterinburg (107%) will probably be more interesting than entering the Novosibirsk market (74%), although the population of Novosibirsk is 125 thousand larger.

BUT! To make such an important decision, you need to look at other indicators (competition, average income of the population, etc.).

Query history and seasonal variations.

If you want to see how query statistics have changed over time, search for “query history.” Select the type of detail (by month or week) and set the region (if you are interested, statistics in a specific region).

The example shows that the request “bicycle” has a pronounced seasonal demand. Which, in general, is logical, given the climatic conditions of our country.

What do absolute and relative values mean?

Please note that statistics are presented in 2 graphs: absolute and relative. Let's try to figure it out.

Absolute indicator- this is the actual value of impressions over different periods of time.

For example, in June 2018, users requested phrases containing the word “bicycle” 5,909,651 times, and in August 2018 there were 4,152,377 such requests

Relative indicator is the ratio of impressions for the word of interest to the total number of impressions on the network. It demonstrates the popularity of the query among all others.

Both graphs should go smoothly, repeating each other (in the example this is the case).

If the graphs diverge dramatically, this may indicate that there is something wrong with the request. Perhaps the request is being automatically boosted or, despite the general seasonal decline, interest in the request is higher than normal (if the schedule relative value is higher than absolute). Or vice versa - demand should have been higher, but it is lower than expected values (if the schedule relative below absolute).

Yandex.Wordstat operators

All of the above examples demonstrate statistics on a wide range of queries. That is, when we ask Wordstat for statistics on the query “bicycle” and see the number 6,887,204, this does not mean at all that users searched for the word “bicycle” that many times. Statistics show the sum of different queries that include this word, including “buy a bike”, “bike price”, etc.

You can clarify query statistics using various operators.

Operator "" (quotes)

This operator clarifies statistics specifically for the word/phrase of interest (without “tails” - additional words).

Do you feel the difference? 85 thousand requests are no longer 6.8 million.

How many times have you asked for the phrase “buy a tricycle”?

1,045 times. In this case, all word forms are considered, such as “buy tricycles”, “buy a tricycle”, etc.

Such an operator helps in developing the correct semantic core of the site.

Operator! (Exclamation point)

This operator allows you to fix the form of a word (number, case, tense).

For example, if you want to find out the frequency of the request “buy a ticket to Moscow” and not “buy a ticket to Moscow”, this operator will be very useful to you.

Another example of how to use the operator! helps to filter out unnecessary requests.

Use this operator when looking for anchors for links.

Operator + (plus)

By default, Yandex.Wordstat does not count prepositions and conjunctions in statistics (they are considered stop words). Sometimes it is very important to take these parts of speech into account, since in another case the meaning will change. Compare what Wordstat shows when you enter the query “studio recording” just like that, and using the “plus” operator:

Operator - (minus)

This operator does the opposite - it excludes unwanted “tails” (words) from the statistics.

For example, if an online store sells only luxury furniture, then all the information on queries related to inexpensive furniture will only get in the way. They can be removed using the minus operator.

If we had simply looked at the statistics for the word “buy furniture,” we would have seen 439,013 requests, and having excluded the “tails” that were uninteresting to us, we would have received other data. And again, in this case we make it easier for ourselves to further work with refined queries.

This operator helps to narrow the number of viewed keywords, for example, when compiling the semantic core of a site.

. Operator (|) - parentheses and vertical bar

To avoid entering similar queries one after another, we use the brute force operator.

For example, we are interested in queries such as “buy a folding bike”, “buy a sports bike”, “buy a mountain bike”, etc. depending on the store's assortment. You can search for statistics on all these queries one by one, or you can do them all at once

This operator helps in developing a semantic core, significantly saving time on query selection.

* Several identical words in the request

When using the operator "" (quotes), repetition of the same word/preposition/number is perceived by Wordstat as any word from Wordstat results for the specified keyword length. That is, if there are 3 words in quotes, 2 of which are repeated, then Wordstat shows statistics on phrases of 3 words, including 2 specified + 1 any other.

If we enter the query “buy a bicycle bicycle bicycle bicycle” (5 words in quotation marks), we will receive statistics on queries such as “buy a bicycle in Moscow inexpensively”, “buy a bicycle in Moscow on sale”, etc.

This point must be taken into account when working with queries that include repetitions. For example, statistics for queries such as “movies about films”, “1+1” will be distorted.

If you need statistics on such repeated requests, use the “!” operator.

Disadvantages of Wordstat operators

Yandex.Wordstat operators are a convenient thing. They allow you to obtain accurate data on a large number of requests in a short time. But even they have shortcomings.

First, some operators do not combine with each other. So, for example, you cannot use the operators “” and (|) at the same time, but you would like to. However, use the operators "" and! at the same time you can:

Secondly, the operators do not work when viewing the request history. Therefore, we can view history and seasonality only for requests from a wide range.

Common mistakes when working with Yandex.Wordstat

Working with a wide range of keys

If the user does not know how to use service operators, he often receives erroneous data and wastes his time on dummy requests.

When developing a semantic core and searching for anchors for link promotion, be sure to use the operators “” and/or “!”.

Region selection

If you are planning to promote a website in one specific region, but do not specify the region when viewing statistics, you will receive erroneous forecasts.

Ignoring seasonal demand

If the site owner orders promotion from specialists, then dishonest optimizers can deceive him, especially if the promotion is based not on positions, but on traffic (we wrote about the difference between these 2 methods). After all, traffic growth can occur naturally.

Or, on the contrary, the keywords are chosen correctly and the promotion tactics are chosen correctly, but the decline in seasonal demand is not taken into account - the result is not impressive, after which a decision is made to change course.

If all of the above is tiring for you, then contact us, we will help. When working with keywords and anchors in the “Business” tariffs and when writing texts, as well as during complex promotion, we take into account the operator “” (quotes) and be sure to look at the region in which the site operates.

Hello, friends. Any webmaster simply must know how to use Yandex Wordstat. This is one of the main tools that helps you select keywords for writing articles and attracting search traffic. Let's see how to use it correctly.

How to use Wordstat - basic or wide frequency

Everything is extremely simple - enter the phrase you need and in a few seconds you will receive the number of times users search for these words per month. But here we need to make an important note. If you simply enter the desired words, Yandex.Wordstat will show the number of searches for all queries that include the entered words. Example:
I entered the phrase “create a website.” Is it really searched 270 thousand times? No, because the service showed us the so-called basic or broad frequency. It displayed the total number of searches for all queries that included these words. And these could be queries such as:
“where to create a website”, “why create a website”, “I want to create a website” and even “create a calculator for a website” (both words are included in this query, so Wordstat will even count it). As you can see, the statistics are very inaccurate.

Phrase frequency

To more accurately determine the number of searches for a phrase, you need to enclose it in quotation marks.
As you can see, this gave a much more accurate picture. Now it shows us the number of searches exactly for the phrase + word forms. For example, “create websites.”

Exact Frequency

Most webmasters and optimizers are only interested in the exact frequency of the request. It shows how many times it was searched in a search engine in its exact spelling. To perform such a search in Yandex.Wordstat, we first need to enclose the entire phrase in quotation marks, and then put an exclamation point before each word.
We received a slightly smaller number of searches than in the case of phrase frequency. This number is the most accurate. So we were able to find out that the phrase “create a website” is searched 17,130 times a month. That is quite often. This request can be classified as high-frequency and very competitive.

Analysis

As you understand, it is not enough just to know how to use the Yandex Wordstat tool. You also need to be able to analyze the information received, select suitable words and phrases, determine the competitiveness of requests, etc. All this is very important for a person who wants to attract a lot of people from search engines. I will definitely write about this in future articles on this blog. And today my task was to convey how to use Wordstat correctly. Use this tool and develop your project correctly.

Query frequency is the number of queries for specific key phrases over a certain period of time.

More videos on our channel - learn internet marketing with SEMANTICA

Methods for determining search volume may vary depending on the search engine used. The most popular services are Google and Yandex.

Key phrases have varying degrees of popularity among users searching for information on the Internet. Some queries can be asked by search engines several times every 30 days, while others can be asked from 2-3 thousand times to several tens of thousands. Search robot algorithms are designed in such a way that the more often a particular phrase is used, the higher its frequency. Having such statistics and knowing how to use these numbers correctly, an SEO specialist can find out exactly what kind of traffic he will receive if he brings the site to the first pages of search results for queries that interest him.

In addition, frequency statistics make it possible to most effectively select the semantic core for a site or an individual web page, as well as exclude non-target key phrases in the first stages of resource promotion.

Determining the frequency of requests by type

High frequency (HF)

They have a broad focus and, as a rule, contain one or several words that are most popular among users when searching for certain information. High-frequency queries are used as advertising to form a positive opinion of the target audience about the company in general and the products/services offered in particular.

HF are not suitable for promoting web resources that have been in operation for less than one year. In this case, you need to start with the bass and midrange.
The maximum frequency of RF requests can reach several tens of thousands (according to Request Statistics).
They are asked by users who are just starting to study the subject area and, being the most competitive option, are much more expensive in promotion than other types.

Midrange (MF)

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 high frequency, requests are the basis of promotion, endowed with not the broadest, but not too narrow focus. They are great for online stores and other sites that promote specific products or services, where users know what to look for and what keywords to enter into the search engine.

Low frequency (LF)

They have a narrow focus, describe a specific need of the target audience and, as a rule, consist of three or more words. In other words, LF is asked by people who know exactly what product they need in what configuration (for example, buy a Philips toothbrush in Moscow). The average frequency of requests here can be from 1 thousand views. the most converting and suitable for promoting any Internet sites at all stages. The main advantage of LF is that, not having much demand, they are not competitive and are much cheaper for search engine promotion.

Checking the frequency of requests in Yandex

High-frequency, mid-frequency and low-frequency queries are calculated based on the number of impressions per month. They cannot reflect accurate statistics, but in the process of promoting web resources they are used as a rather rough rounding. Without exact indicators, they can be divided as follows: a request of 100 impressions is low-frequency, over 1-2 thousand is high-frequency. At the same time, it is impossible to determine exactly the average frequency query - each SEO specialist determines it for himself independently.

Different search engines use different query frequency checking services. In the Yandex search engine, you can assess user interest in specific topics for selecting keywords using the WordStat service. To do this you need to enter a request. In response, statistics will be shown on the request itself and on its analogues (or word forms). In order to clarify the phrase, you can use additional operators. For example, if you enclose a query in French quotes (or “herringbone quotes”), you can get data on the frequency of a query consisting only of the specified words, but written in any form and sequence.

Types of request frequencies in the Yandex service

There are several types of frequency in the Yandex search system - basic, precise and refined (they are indicated by different signs and symbols).

The base frequency is of purely research interest to the webmaster, as it is considered the most inaccurate. To calculate it, you need to enter a query without special characters, but the result will be non-specific, since it will contain data both on the query itself and on all others, which include all the words specified in the keyword. The only application of such frequency can be found in the analysis of general interest in a topic. So, if you enter “buy flour” and indicate the region of interest, you can understand how many people want to buy flour on the Internet (without specifics - what kind and in what volume). However, do not forget that there may be more such people, they can use queries like “flour price”, “cost of flour”, etc.
The exact frequency (“herringbone quotes”) reflects the number of times users enter a query in different declensions. For example, a webmaster needs to calculate the frequency of the request “iron doors”. To obtain this information, you should put the query in quotation marks before selecting. This will allow the service, which shows statistics of keywords and queries in the search engine, to display the total number of specific queries for iron doors and all forms of declension (iron doors, iron doors, etc.).
The updated frequency (!) contains only relevant and relevant information. It reflects the amount of user input of a specific form (declension, conjugation, number...) of a particular phrase that the webmaster is looking for. It is recommended to calculate the specified frequency, because it reflects the essence of the request and determines its popularity among the target audience. This way you can find out how many people enter a query exactly in the form in which you wrote it - very useful, if necessary, to find out which of two or more keys will be more useful to use in direct entries in texts. For example, “how to make candy with your own hands” or “how to make candy with your own hands.”

To obtain the frequency of queries in other search engines, other services are used. To obtain static data from Google, for example, you must have an account in the AdWords contextual advertising service. After logging into your personal account for an advertising campaign, you need to go to the “Tools” section and use keyword suggestions. By entering the desired phrase, the service will provide a ready-made analysis result not only for the specified words, but also for similar ones. This allows the webmaster to select the most optimal variant of queries for search engine promotion.

At the same time, Google does not have the ability to check the frequency of queries, however, the user can add web resources with content for persons of legal age to the results, as well as use additional filters. In particular, you can check a specific request by geographic location: in a specific region, country or throughout the world.

Services for determining the frequency of search queries

In addition to AdWords, Google has a web service that shows how many times users search for a specific phrase (over a certain period of time) to the total volume of search queries, divided by geographic location (region, country). This service is called GoogleTrends. By entering queries of interest, 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 ones.
Statistics of search queries for the Search Mail.Ru service are also popular. Here you can see information on general impressions, divided by age and gender categories.

Mass checking of query frequency, as well as collection and analysis of the semantic core can be carried out using the Key Collector program and the Rush Analytics web interface. The first program is paid (the fee is only for purchasing the program - a one-time fee), the second is provided in various pricing solutions - from 0 to 6,000 rubles per month. At the same time, their functions and capabilities are largely similar.

The need to use these services is determined by the fact that, in addition to checking the frequency of queries, WordStat cannot be used to effectively compile a semantic core. Of course, you can rely on the information received, but with some nuances. In particular, keywords with a minimum frequency can have competition in the search engine and bring a certain amount of traffic to a web resource.

Download archive with parser
This parser collects keywords and frequency into an Excel file from the Yandex wordstat service.
If your frequent tasks include collecting statistics on keywords from the Yandex Vodstat service, then one of the ways to optimize the workflow is to delegate the task of parsing keywords to the parser.
This parser is not original in functionality, but it is original in the ease of settings and obtaining data by keywords.

The functionality of this parser allows you to collect keywords from the wordstat.yandex.ru service, statistics on the number of requests for collected keys, the exact frequency of keys, as well as ungroup the collected keys into clusters.

Parser settings:

1. Login from yandex.ru - in this field you must enter the address of your mailbox from Yandex mail

2. Password from yandex.ru - in this field you must enter the password from your Yandex mail

3. File with keywords - this field specifies a file with a list of keywords (the file must be saved in utf-8 format, each key on a new line). If you plan to activate query clustering after collection, then this file should contain only 1 basic keyword phrase (all words only in lowercase (small letters))

4. File with negative words - this field contains a file with a list of negative words (the file must be saved in utf-8 format, each negative word on a new line)

5. Parse depth - to what depth to parse

6. Explore results - this option activates the query clustering stage after the keys for the base phrase are collected (by activating this option you must specify a file to save the research)

7. Check for exact frequency - this option activates the collection of exact frequency using collected keys

8. Deep scanning - this option activates deep scanning

9. Key for captchas - optional

10. File for saving keys - Excel file in which keywords from the wordstat.yandex.ru service will be saved

11. The file for saving the study is an Excel file in which the grouped clusters will be saved after clustering

If you have questions or suggestions, write to us by email [email protected]
skype - vipvodu
Download archive with parser

An example of a file with clusters by key - client database.

Adviсe:
1. Check the settings carefully before starting.
2. If the program, after clicking on the “run” button, turns off, then most likely there is something wrong with the settings, or there are hung processes from the previous interrupted parsing, the hung processes must either be killed in the task manager, or the computer must be restarted.
3. Do not interrupt parsing, wait for the message - All data has been saved

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 delve 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 banally 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 rarely found sets of words (low-frequency or LF).

I don’t draw a clear line between these queries based on the frequency of their displays, 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 won’t 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 have sketched 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 taking into account 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). At the same time, the brain is already melting, but the analysis is drawn out 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.