Popular queries in search engines. How to view search query statistics

Review information can set the vector for a more in-depth analysis of a particular topic, in order to then plan an advertising campaign (or even an entire business). We analyzed what they want to buy in the regions and talked about it specifically for VC.ru.

To collect data we used the Wordstat.Yandex.ru service. It predicts the number of views based on statistics for the last 30 days before the update date. Therefore, the results of the study are relevant specifically for the summer season of 2017.

Methodology for collecting statistics

We analyzed the popularity of the ten most frequent queries with the word “buy” in different cities of Russia and compared the data according to two indicators: the number of impressions per month and regional popularity.

Regional popularity is calculated using the following formula: the share of impressions for a given word in region n / the share of impressions of all search results in region n. For example, the popularity of a word equal to 120% means that in the region under study there is now increased interest in this word; if it is less than 100%, it means decreased interest.

First, let's look at the all-Russian top 10 queries with the word “buy”. We cleared the data from general queries and took only the most frequent ones for specific categories of goods/services.

What Internet users are willing to pay money for

The leader in the number of queries was real estate: the queries “buy an apartment” and “buy a house” are the most popular. Interestingly, the request “buy a book” made it into the top 10. According to statistics, Russia is still one of the most reading countries in the world, as recently confirmed by a GfK study. There were also some seasonal wishes: “bicycle” and “plane ticket” took their places in the top ten.

In seventh place is the request “buy an iPhone”: despite the jumping exchange rate and the abundance of Android gadgets, the Apple product remains one of the main “wants” of the Russian population. The hit parade is closed by a popular toy called a spinner: the trend for it has not bypassed any region of our country.

Now let's see how the number of requests and the share of interest in each of them changes in different regions.

The absolute leaders in terms of the number of impressions were Moscow and St. Petersburg, so we will not consider this indicator for the capitals in the comments to the graphs. However, the indicator of regional interest in Moscow and St. Petersburg for some requests turned out to be significantly lower. And it’s already interesting to compare it with other cities, which is what we did.

The request “buy a car” is generated more in Nizhny Novgorod and Yekaterinburg. At the same time, regional interest is higher in Krasnoyarsk, Voronezh and Krasnodar:

The situation with more accessible transport is completely different: Yekaterinburg leads both in the number of requests for “buy a bicycle” and in terms of the popularity of the request.

Interest in cycling here is 70% higher than in Moscow (the graph did not show the regional popularity of Moscow - 97%, since the number of impressions overtook this indicator). We assume that this is partly due to the weather, which this year does not allow Muscovites to fully appreciate the convenience of traveling on two wheels, and partly due to the presence in the capital of a successfully functioning city bicycle rental system.

Interest in purchasing real estate varies curiously across regions. “Buy a dacha” is wanted most of all by users from Novosibirsk, “buy an apartment” - from Nizhny Novgorod, and “buy a house” - from Yekaterinburg. There is increased regional interest in dachas among residents of Krasnoyarsk, in apartments in Krasnoyarsk and Voronezh, and in houses in Voronezh and Krasnodar. It is noteworthy that in terms of regional interest in dachas, Krasnoyarsk was ahead of both capitals: the figure was as much as 161%.

“Buy a plane ticket” is most wanted by users from Yekaterinburg and Krasnodar (not counting residents of both capitals). At the same time, there is increased regional interest in tickets - in Tyumen:

Yekaterinburg was recognized as the most reading city - both the number of requests to “buy a book” and the corresponding regional interest are in the lead. We decided to check whether people read more in the “cultural capital”. It turned out that the Moscow interest rate is still higher - 173% versus 155%.

Yekaterinburg is eager to buy dresses: both the number of requests and the interest rate are higher than in other regions. But Muscovites are the most interested in dresses: of all the topics considered, this particular request showed the highest coefficient of local regional interest - 206%.

Also, residents of Novosibirsk really want to “buy an iPhone” - the regional popularity of this request here is in third place after the capitals. The greatest interest in Apple's smartphone is shown in St. Petersburg - there the level of regional popularity of the iPhone reached 159% versus 140% in Moscow.

And finally, let's see which region was most influenced by fashion. Apart from users from Moscow and St. Petersburg, people in Nizhny Novgorod and Novosibirsk want to “buy a spinner” more. We couldn’t find any obvious reasons for this, so we’ll assume that it’s all about the two letters “n” in the name of the toy.

Results

So, we have seen that the indicator of regional interest changes unpredictably in each case under consideration. How can you use this information?

1. Evaluate not only the number of requests, but also regional interest. If you decide to start selling a product because it seems to you that it will sell out like hotcakes in Chelyabinsk, and your budget does not yet allow you to spend money on marketing research, the Wordstat tab with statistics by region will help you compare your expectations with reality.

On it you will find out not only the level of probable demand today, but also the expected prospects. Perhaps precisely where the percentage of regional interest is minimal, there is no competition. Cards in hand: Generate interest with inclusive display advertising and reap the rewards of increased demand.

2. Work with each region, taking into account its level of interest in other topics. For example, regions with increased interest in purchasing real estate are more likely to be interested in the services of an interior designer or new flooring products entering the market.

3. Use regional interest assessment to predict the effectiveness of an advertising campaign. Analysis of demand in the context of individual regions will allow us to draw up a media plan that is as close to reality as possible. It is worth taking this coefficient into account both before launching an advertising campaign and at the stage of making a forecast for each subsequent period (month, quarter): the situation can vary greatly depending on the season, weather, political and other external factors.

The article was prepared forVC.ru.

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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.

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

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What queries were popular among users in 2017

Popular topics. At the end of each year, Yandex collects statistics on queries that aroused the greatest interest among users. Top topics are different from top queries. In the topics, Yandex analyzes events and people of the past year and compiles a rating:

events in Russia and in the world;
things and phenomena;
popular men and women;
sport events;
music;
movies;
memes.

Information is taken for January-November.

Additionally, popularity is shown by month separately. The popularity of certain topics grew throughout the year, while others lasted only a couple of months.

Dynamics of popularity of the topic “Cryptocurrency” in 2017

Dynamics of the popularity of the “Spinner” theme in 2017

Mobile interests on the map. Internet searches vary from area to area. In the spring of 2017, Yandex collected statistics on requests sent from mobile devices and compiled an interactive map of user interests in different areas of Moscow. Explore popular categories with its help.

Search in the metro. Yandex separately conducts research on the interests of users in the subway. According to the search engine, in 2017, 150 thousand metro passengers accessed Yandex search every day.

Internet activity in the metro also has peak hours. This is 7.40 - 9.40 in the morning and 17.20 - 19.50 in the evening. The greatest number of requests occurs between 8 and 9 am and from 6:20 pm to 6:50 pm in the evening.

The overwhelming majority of requests are informational. They are related to the topics IT, Transport and Leisure. Requests change throughout the day. In the morning, the most popular words and phrases are “how to get there” and “how to get there.” Courts, museums and shops lead the way in terms of destination. In the evening, users search for recipes and food delivery services. Before the metro closed, most requests related to the night bus schedule.

The most popular queries in the Moscow metro every hour

Search by time of day. In Yandex, search starts at 6 am. From 9 am to 5 pm the main search queries are related to work, from 5 pm to 10 pm - with study, after midnight - movies, games, sex.

Distribution of user interests by time of day

How to select popular queries

Select queries in Yandex using the Wordstat.Yandex service. If the topic of the queries being analyzed is broad, use a parser to reduce the time for collecting information.

Frequency. Enter the analyzed words into the Yandex search bar; the word can be single or as part of a phrase. The frequency shown by the service includes words and phrases in any cases and word forms. Sorting goes from maximum to minimum.

Working with operators. To find out the number of queries in the exact word form, use operators. Main operators:

"" - statistics only for specified words without taking into account additional ones;
! - for precise entry, fix the endings;
+ - to add prepositions to the query: trip + to London.

We talked about operators in detail in the article “”.

Regions. In Wordstat, select a region before searching for a query, or analyze a query across all regions. Filter separately by region: countries, federal districts, regions and cities, or by large cities and their subordinate regions. Pay attention to the regionality index. It is calculated based on the popularity of the request on average in Russia. For example, in Moscow, St. Petersburg and Yekaterinburg there is increased interest in the query “blockchain”, and in Nizhny Novgorod and Novosibirsk the interest is lower than in Russia as a whole.

Request history. See the growth of the request's popularity over time. The service shows changes over the past two years. The operators in the request are not valid; the total number is indicated in all word forms and phrases.

Example of request dynamics

Seasonality. If the query history clearly shows peaks of user interest throughout the year, then such goods or services are considered seasonal. When planning advertising or promotion, keep this in mind.

Example of a seasonal request

Mobile search. The service displays statistics separately for desktop and mobile requests. There is a separate division for phones and tablets.

Today in this article I want to talk to you about the Internet. Many beginning and experienced entrepreneurs begin to wonder: “What are they looking for on the Internet?” or “How to find out what people are looking for on the Internet?” Simply put, it is always interesting to know what people want to find, what information to get, what to buy, and so on. This is exactly what I want to talk about today.

What are they looking for on the Internet?

With every second, the Internet is becoming more and more an integral part of the life of any person. It is difficult to imagine a person who does not know what the Internet is and how to use it. Even television will soon cease to exist, because it will be swallowed up by the World Wide Web www. I learned about this at the media school where I am now going to study. In 5-10 years there will be a symbiosis of television and the Internet. We will start watching all programs on the Internet.

Answering the question of what people are looking for on the Internet is quite simple. On the Internet, people are looking for information about how to solve some problem, news,... People are looking for entertainment: games, music, forums, social networks. And people also search on the Internet for some things, products and services that they want to buy.

And many people, thanks to the Internet, become entrepreneurs and earn millions of dollars using this web. There is even a separate term: Internet entrepreneur. That is, this is an entrepreneur who carries out business activities on the Internet.

Many people enter a query into Yandex or Google: . And now this is very relevant in our time. Every year the turnover on the Internet increases, there is more information, traditional businesses disappear into oblivion or they move to a new format (the Internet).

Surely you are interested in finding out whether a person is looking for this or that product on the Internet. And most importantly, how many people are looking for a specific product. Well, this is not difficult to do. Now I’ll tell you the secret of how I personally choose topics for articles so that they don’t hang out on the Internet without being read, but on the contrary, so that people find and read them.

Yandex has a system wordstat.yandex.ru. Follow the link and enter your request. Before writing an article: “What are they looking for on the Internet?” , I went to this service and checked the popularity of the request. The results are in the screenshot.

17598 impressions per month for this request. If you look closely at this screen, you can see that this figure is the sum of many other requests: “Looking for a job on the Internet”– 2261 impressions per month. "Search Internet search"– 569 impressions. And we need to know how many specific people enter the query: “What are they looking for on the Internet?”. To do this, we put quotation marks. See screenshot.

In total, we see only 362 impressions. This means that 362 people per month enter this particular query. This is no longer 17598, it is much less. My experience says that the number 362 is a low-frequency driver. (Queries are high-frequency, mid-frequency and low-frequency).

Low frequency queries are from 0 to 1200, mid frequency queries are from 1200 to 5000, the rest are high frequency. Please note that each entrepreneur has his own figures on this matter. I gave examples when writing articles. In sales, a high-frequency driver can be from 500 requests per month.

So, these numbers show the popularity of the request. This is what people search for the most on the Internet. Yandex also provides hints when you just start entering a query. Let's look at the screenshots.

As you can see, I entered only one word. In the first case "How", in the second case "Why". And Yandex immediately returned the most popular queries that begin with these words. And indeed, if you click on the first queries, you can immediately see that the number of impressions is significantly higher than for the other queries that are located below.

You will definitely come across idiotic requests. Here they are: “Why is Putin a crab”, “Why am I a shampoo?”, “Why am I a toilet?” and so on. Don't pay much attention to this. People are just going a little crazy. This is normal for Russia.

Now you know how to determine what a person is looking for on the Internet and how popular this request is. People on the Internet search for literally everything. The Internet is a great place to create a business. There are countless fish here. You just need to create a strong fishing rod and cast an attractive bait. Then the catch will be excellent.

The Internet is a great helper of our time. Almost any issue can be resolved if you use this powerful system correctly. Don't forget that the Internet is a provider. Seller and buyer meet on the Internet, new acquaintances appear, and meetings are organized.

And of course, the Internet is full of scammers who cleverly scam people out of money. This is what you need to watch out for. In general, there is an opinion that the Internet is a complete scam. This is a place where people are scammed out of money. In fact, it's not about the Internet, it's about the person who is either honest or dishonest. When buying this or that product, you need to study it inside and out, read real reviews from real people. Don't be lazy.

On this note, I am ending this article, and let's move on to look for topics for future articles that are popular with people. All the best to you, good luck everywhere and in everything. Ciao!

what they look for on the Internet


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Have you ever asked yourself the question: what are people looking for on the Internet? What are they interested in? I think if you are a webmaster, or you are simply interested in the topic of the Internet, then you have asked yourself this question. Let's find out which search queries are the most popular in 2017 in Yandex and Google.

The most popular queries in Yandex 2017

The most popular phrase in Yandex is download for free, and other phrases are also very popular: either with the word “free” or with the word “download”! Well, what can you do, people love free things: download for free, watch for free, play games for free. But besides them, there are other common requests: March 8, New Year, February 23. Yes, holidays are another very popular topic. True, these are so-called situational requests, the traffic for which increases immediately before the event itself. Usually this happens 2-3 days before the holiday and after its completion, requests drop to almost zero. I also want to mention seasonal requests. These are those requests that arise during a certain period of time of the year. There are a lot of such queries, for example, “answers on the Unified State Exam,” “where to relax in the summer,” etc.

Here is a list of the most popular queries in Yandex in 2017.

The most popular queries on Google in 2017.

In Google, the list of the most popular queries is similar to the Yandex list. But there are also some differences. For example, the most popular word here is download. Download for free (also a leader), download MP3, download a movie, download a game. By and large, the lists of the most popular queries for both search engines are almost the same. This is if we take, of course, the Russia region in Google.

Well, now, look at the list of the most popular queries on Google in 2017.

What topic for an article should a webmaster choose to get maximum traffic to the site? First you need to check how many times a particular question has been asked. Some requests are very popular (download for free), others are extremely rare. It is clear that according to popular phrases, there is maximum traffic. But the competition for them is very strong. As a result, it is very difficult to get into the TOP10 of search results using such queries. For rare requests, and even more so for zero ones, getting to the top is usually not a problem. The problem is different, according to them, the traffic is either very small or there is none at all.

To determine the popularity of queries, there are two popular tools - Yandex Wordstat and Google keyword planner.

How to view keyword statistics in WordstatYandex

Yandex Wordstat is the most popular tool in RuNet for obtaining search query statistics. It is free, it allows you to collect data on all search phrases entered by users of the Yandex PS. It's no secret that Yandex is the most popular search engine in Russia.

What I like about the WordstatYandex service is its simplicity. To use it, just create an email account in Yandex and go to wordstat.yandex.ru. Next, enter a query and get its statistics. And it's all!

This way you can get the dynamics of statistics for any search query. Moreover, you can get data by region and month.

Yandex Wordstat shows statistics not only for the selected phrase, but also for other search queries related to the search phrase.

Unfortunately, this tool has some disadvantages.

The display of statistics is not entirely clear. For example, if you need statistics on the phrase “summer dresses,” then Yandex will show that this search query was requested 73,000 times. But that's not true. In fact, 73,000 times is the total number of searches that included the words “Summer Dresses.” That is, they also searched for “summer dresses photos”, “buy summer dresses” and so on. If you look at the statistics directly for the phrase “summer dresses”, it turns out that there were significantly fewer such search queries.

To determine exact statistics for a phrase, you need to use the “quote” operator. And then the answer will be completely different.

But you can find out the exact data for each search phrase using the exclamation point operator, see the screenshot.

Thanks to Yandex Wordstat, you can quickly find out statistics on the selected phrase and only then decide whether to use this phrase for promotion.

How to view statistics in Google Planner.

In addition to the Yandex Wordstat service, there is another service. This is a Google service and it is called Google Planner (Keyword Planner). In RuNet, the description of this service is much less common than the description of Yandex Wordstat. And in vain. Since the capabilities of the Google planner significantly exceed the capabilities of Yandex Wordstat.

As with Yandex, you also need to have your own account here. Simply put, you need to have an email account in Google. Next, go to adwords.google.com, after which you need to go to the Tools menu,

and select the item – Keyword Planner.

Now you need to select the item – Search for new keywords by phrase, site or category

Enter the desired search term. Here you can also set additional settings: landing page, category, and so on. However, it is not necessary to specify these settings; you can simply enter the desired phrase and click on the button - Show options.

A window will open with a lot of numbers. It displays how many options there are with the selected keys (as in Yandex), and separately, how many options there are for the selected query. There is also a button here - Download.

The report shows how many impressions a particular search query had. The statistics displayed are approximate. The values, from and to, differ tenfold: a hundred to a thousand requests, a thousand to ten thousand, and so on. For example: the search query, “Summer dresses,” has a total number of one hundred to one thousand (region – Russia). And this error applies to all search queries.

For a general assessment, such statistics will be sufficient. After all, in any case, this is only a rough assessment of whether it is necessary to work with this request. But there is one trick in AdWords. Thanks to this feature, you can get accurate statistics on all queries. True, for this you need to transfer money to an advertising company. Each country has its own minimum requirement for creating an advertising company.

Since I have such an account, here is a screenshot with the exact readings.

As you can see, the exact numbers are already displayed here. More precisely, exact average figures for the year. Although, when creating a report, you can check the box, and then it will indicate the values for each month for the past year.

Finding out the statistics of search queries in Yandex is not a problem. It's even easier to do this in Yandex. But Google immediately displays all related queries into an Excel file, thanks to which you can immediately select the necessary keys. You can sort the keys alphabetically, by frequency, by level of competition, by approximate cost.

What is the cost of advertising for a search phrase? First of all, AdWords is designed for advertisers. And of course, it is simply vital for potential advertisers to know how much advertising costs for a particular request. But for webmasters who do not intend to provide paid advertising, it will not be superfluous to know the meaning of this parameter.

In Yandex you can also find out how much advertising costs for a specific request. But for this, you need to open another service. And this is not at all so convenient.

One more thing. The fact is that Google can show phrases that may not contain the keywords you requested. However, these search queries may also be related to the search phrase.

For example, for the phrase “summer dresses,” Google will also suggest the word “sundress.” Essentially, this is a tip for webmasters. Which will allow you to use even more search queries for search engine promotion.

How to combine Yandex and Google tools.

Although Yandex is ahead of Google in terms of the number of search queries, Google also has a very large share. And therefore, for me these search engines are equal. When I receive statistics in Yandex, I understand that the statistics in Google will be similar. And vice versa. Therefore, both tools are relevant to me. And here the scheme of my work is simple.

For example, for Yandex requests
“buy an apartment in Moscow” and
“Buy an apartment from Moscow” will be the same

To avoid this, you must use the + operator before the preposition
“buy an apartment + in Moscow” and
“Buy an apartment + from Moscow”

This is especially important when creating semantics for Direct!

Answer

Good addition on operators, they really need to be used. By the way, I myself also often use “+”

Answer

Well, I think that any user who is going to work with Wordstat should memorize these operators and understand what each of them represents.
Moreover, there are not so many of them.