Frequency of requests in Yandex: full analysis. Yandex Wordstat: detailed instructions for using the service and grouping operators and a complicated request

It is very important to make sure that the requests you are going to advance, someone is looking for. If you get a "semantic kernel", where all the keys will be with zero frequency - then your site will be zero. Therefore, let's not be flexing, but proceed.

What is the frequency of a key word

Obviously, different requests have different popularity among search engine users. The number of entering a specific query in the search engine is taken in one month. In this way, the frequency of keywords is the number of requests inquiries for the month.

It is possible that even there are empty requests

To promote your site, you need to create original content. For example, if you write articles, the uniqueness of your text should be usually above 90%. In theory, unique content brings a high indicator of attendance, consisting more from transitions from Yandex and Google. However, in real ranking conditions, write a unique article - only half of the success.

Search engines pay attention not only to the uniqueness of the text, but also on the content of key queries in it corresponding to the subject of the article or any other textual content. The correct distribution of keywords in the article is called text optimization. Unique, but not optimized article containing uncertain requests may not at all attract visitors to the site. Such a situation will mean in vain spent time and resources on creating content.

For optimizers, frequency is a criterion for choosing a request for its use in the text. Depending on the frequency, on high-frequency (HF), mid-frequency (s) and low-frequency (HF) requests. When optimizing the article, first of all, pay attention to the RF and SC requests. However, every year the promotion of new sites is becoming difficult, and the optimization is all thinner. Now it is believed that the use of LF keys can also bring some traffic.

How to check the frequency of the request

The frequency of keywords can be found with the help of appropriate search engines, as well as special semantic kernel programs. Search engines provide their services with the calculation of selection of requests for contextual advertising.

WordStat (Yandex)

WordStat - Survis Yandex to define key request statistics. Wordstat uses most optimizers not only in order to compile commercial requests for advertising, but also for the mining of keywords in the framework of normal text optimization. The VORDSTAT has three types of frequency:

The frequency of WS is the basic frequency of the query in the vordstat.
The frequency "" WS is the frequency to accurately enter the query. For example, the statistics on request ["Car"] will correspond to the request [car] without the addition of other words.
Frequency "!" WS - frequency to accurately enter each word in the request, eliminating bowls, etc. Request [! Chinese] means that statistics on the word [Chinese] will be issued without possible declosion (Chinese, Chinese).

On request [car] current frequency exceeds ten million shows. However, the basic indicator implies the addition of all sorts of words to the keyword, according to which the article will be ranked.

If you make a request in quotes, statistics will be reduced from ten million to 28 thousand. For an optimizer, it may be a useful right column with similar queries that complement the semantic collection.

The "According to" tab means that statistics are provided at the total amount of the introduced request. The "By Region" tab displays the statistics of shows in different regions of the country. And on the "query stories", you can track on the schedule to change the frequency of the query during the month or week, as well as statistics on requests through PCs or mobile devices.

Google

Google AdWords service itself is more sharpened for contextual advertising, rather than Vordstat. In the "Tools" section, you can find the necessary keys to the desired request. In the Targeting column, the desired region shows and language. You can also specify minus words.

Unlike the Wordstat, where statistics are indicated for the month, in AdWords you can select a monthly display range in the "Date Range" column. The disadvantage is an average number of results. The statistics itself is divided into two blocks:

Key words - analogue of the frequency "" VORDSTATI;
Keywords (by relevance) - analogue of basic frequency and similar WS requests.

The advantages are the presence of the level of competitiveness, as well as the ability to download selected words in the CSV file or google disk.

In addition to AdWords, Google has another tool for analyzing requests called Google Trends. This service evaluates the popularity of the request entered for a certain period of time and represents the statistics in the form of a graph. You can compare multiple key queries with each other. Statistics on regions are also displayed.

For the graph, not accurate numbers are used, but relative, based on relevant requests.

Mail.ru.

Mail.Ru also has a tool for the statistics of search queries in the Webmasters service. In addition to shared shows, the table presents the distribution of requests by sex and age of users.

It is no secret that Mail cooperates with Yandex, as the search engine places Yandex advertising.

Rambler.

Rambler every year loses its popularity, but their Wordstat can be very useful. The fact is that the statistics of requests in Yandex and Google can not always display the real state of affairs. Many companies can introduce "in idle" commercial requests in order to surveys for competitors, i.e. for analyzing Top, Tistle, etc.

Due to the low ramplater popularity, their vordstat statistics have less reinforcement and can make some clarity for optimizers. In general, it will be quite good as an additional tool.

How to check the massive frequency of requests

Most optimizers are chosen to collect and analyze the semantic kernel such as Key Collector or Slovoeb. There are also online services for determining frequency.

Key Collector.

Get the necessary keys for the semantic nucleus and massively check their frequency using the Key Collector desktop program. We open the Wordstat, in the field we enter the main keys from the new line on your subject and click "Start Collection".

In the settings you can set the required region to collect, as well as stop-words. After the keys are gathered, determine the frequency through the directory.

In the end, you will have a table with keys and frequency of shows. Immediately remove all the keys that have accurate frequency "!" equal to zero. To do this, make filtering in the "Frequency!" Column. Click on the blue icon. A filter window appears. We choose "greater than or equal"\u003e "1" and click "Apply."

To get a larger key list, you can collect search tips from Yandex. We make a new group (right window). Also make sure that the tank is turned on "Collect only top tips without a busting ...". Now click on the created group - a new empty tab will open. Click icon for collecting search tip.
After collecting phrases, we do the same as when PARSING WORDSTAT: Removing the frequency, we remove unsuitable in the sense of the phrase and phrases, where the frequency "!" equal to zero.

Similarly, you can collect keys and frequency with Google using Key Collector.

Rush Analytics

Rush Analytics is an online alternative to Key Collector. The plus of the key collection tool is the absence of the need to use proxy, antikatch, etc.

To collect frequency from the Wordstat, you need to go to the "Collection of Frequency" tab and put a tick in front !keywordThat is, the exact frequency. Next we enter keywords. After the service considers the cost, click "Create a new project".

Results can be saved to an Excel file.

In the articles on the promotion of sites, we often recommend the Yandex.Andestat service. This is a simple, convenient and (which is important!) Free resource, which is highly popular with Internet marketers and optimizers. Today we will analyze Yandex. Avordstat for spare parts.

Why do I need Yandex.vordstat?

Yandex. Avordstat is needed to track the statistics of search queries in the Yandex system. Based on this statistics, you can:

develop a semantic kernel for the site ();
pick an attorney for references;
predict traffic to the site (exactly -);
prepare an advertising campaign in Yandex.Direct;
find out seasonality demand.

What does Yandex.vordstat show?

The total number of requests containing the desired phrase.

Requests for refined phrases, which includes the interests of interest.

Other requests that also entered users interested in this phrase.

Yandex. Awardstat allows you to watch general statistics (for all types of devices), as well as selective desktop statistics (desktop computers and laptops are included here), mobile devices (these are phones and tablets), only phones and tablets.

Request frequency display feature Only for mobile devices allows you to predict mobile traffic to the site and helps in making a decision on the adaptation of the site. Although "mobilization" is a steady trend of recent years, so in any case it is worth thinking about how to adapt the site for mobile devices.

Stopping statistics in separate regions.

If you sell bicycles in Tomsk, you are hardly interested in statistics throughout 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 regions by selecting the appropriate search:

Here the data is presented in actual and percentage values. Interest values \u200b\u200bshow regional popularity: values \u200b\u200babove 100% suggest that interest in request in the region is above average in Russia, and vice versa, values \u200b\u200bbelow 100% are talking about reduced demand.

Information helps to make strategic decisions on the releases into new markets.

So for a large bicycle seller, the exit to Yekaterinburg (107%) is likely to be more interesting than entering the Novosibirsk market (74%), although the population of Novosibirsk by 125 thousand more.

BUT! To make such an important decision here, it is necessary to watch other indicators (competition, the average income of the population, etc.).

Query history and seasonal fluctuations.

If you want to see how time query statistics changed, set the search for "query history". Select the type of detail (for months or weeks) and specify the region (if interested in statistics in a particular region).

From the example it is clear that the request "bike" has a pronounced seasonal demand. What, in general, logical, given the climatic conditions of our country.

What does absolute and relative meaning mean?

Please note that statistics testimony are represented in 2 charts: absolute and relative. Let's try to figure out.

Absolute indicator - This is the actual value of the shows at different periods of time.

For example, in June 2018 Users 5 909 651 times the phrases containing the word "bike" were requested, and in August 2018 such requests were 4 152 377

Relative indicator - This is the relationship of the ideas to the word to the total number of display shows. It demonstrates the popularity of the request among all others.

Both graphics should go smoothly, repeating each other (for example, it is so).

If the graphics dispel sharply, it may mean that something is wrong with the request. Perhaps there is an automatic cheating of the request or, despite the general seasonal decline, interest in request above the norm (if the schedule relative value above absolute). Or, on the contrary, the demand was to be higher, and it is lower than the expected values \u200b\u200b(if the schedule relative below absolute).

Operators Yandex.Vordstat

All the above examples demonstrate statistics on requests for a wide range. That is, when we request statistics at the Vordstat at the request of "bike" and see the figure of 6 887 204, it does not mean at all that users looked for the word "bike" such a number of times. Statistics show the amount of different requests, including this word, including "buy a bike", "Bike price", etc.

You can refine the statistics of requests using various operators.

Operator "" (quotes)

This operator clarifies statistics on the word / phrase (without "tailings" - additional words).

Do you feel the difference? 85 thousand requests, this is not 6.8 million.

And how many times did the phrase "buy a tricycle"?

1,05 times. At the same time, all wordforms are considered, such as "buy three-wheeled bicycles", "buy a three-wheeled bike" and so on.

Such an operator helps when developing the right semantic core of the site.

Operator! (Exclamation point)

This operator allows you to fix the word form (number, case, time).

For example, if you want to know the frequency of the request "buy a ticket to Moscow", and not "buy a ticket to Moscow", this operator is very useful.

Another example, like using the operator! Helps cut out unnecessary requests.

Use this operator when you are looking for an anchorage for links.

Operator + (plus)

Yandex. Avordstat by default does not consider pretexts and alliances in statistics (they are considered to be stopped). It is sometimes very important to take into account these parts of speech, as in another case, the meaning will change. Compare that the Wordstat shows when entering the request "Recording in Studios" just like this, and using the PLUS operator:

Operator - (minus)

This operator acts on the contrary - it excludes unwanted "tails" (words) from statistics.

For example, if the online store sells only elite furniture, then all information on requests associated with inexpensive furniture will only interfere. They can be removed using the minus operator

If we just looked at the statistics on the word "buy furniture", we would see 439,013 requests, and excluding the "tails" uninteresting to us, and other data received. And again, in this case, we will facilitate further work with updated requests.

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

. Operator (|) - Round brackets and vertical trait

In order not to enter one by one, similar queries, we use the "Boring" operator.

For example, we are interested in such requests like "buy a folding bike", "buy a sports bike", "buy a mountain bike", etc. Depending on the assortment of the store. You can search for statistics for all these requests alternately, and you can all right

This operator helps in developing a semantic kernel, significantly saving time to select requests.

* Several identical words in the request

When using the Operator "" (quotes), the repeat of the same word / pretext / numbers perceived by VORDSTAT any word from the issuing Wordstat at the specified key of the keyword. That is, if in quotes 3 words, 2 of which are repeated, then VORDSTAT shows statistics on phrases of 3 words, including 2 specified + 1 any other.

If we introduce a request to "buy a bike bike bike bike" (5 words in quotes), we will receive statistics on requests such as "buy a bicycle in Moscow inexpensive", "Buy a bike in Moscow Sale", etc.

This moment must be taken into account when working with requests that include repeat. For example, statistics on requests like "film about films", "1 + 1" will be distorted.

If you need statistics on such repeat requests, use the "!" Operator.

Disadvantages of WordStat operators

Operators Yandex. Avordstat is a convenient thing. They allow you to obtain accurate data for a large number of queries in a short time. But even they have flaws.

First, some operators are not combined with each other. So, for example, it is impossible to simultaneously use the operators "" and (|), and I would like. However, use the operators "" and! At the same time, you can:

Secondly, the operators do not work when viewing the history of the requests. Therefore, we can only look at the history and seasonality only at the requests of a wide range.

Frequent errors when working with Yandex.Sordstat

Work with a wide spectrum keys

If the user does not know how to use the service operators, it often gets erroneous data and spends its time to raw requests.

When developing the semantic kernel and search for ankors for reference promotion, be sure to use Operators "" and / or "!".

Choosing a region

If you plan to promote the site in one particular region, but do not specify the region when viewing statistics, you will get erroneous forecasts.

Ignoring seasonal demand

If the owner of the site orders promotion from specialists, then dishonest optimizers can deceive it, especially if the promotion is not on positions, but by traffic (about the difference of these 2 methods we wrote). After all, traffic can go naturally.

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

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

Analysis of search queries uses each competent optimizer. Statistics show that most often people are looking for people on the Internet using search engines.

Its main purpose is the compilation of the semantic kernel. If you do not have any (most often we are talking about blogs), the statistics of search queries are treated when writing articles, "dragging" it under a certain keyword.

The main tool for selecting keywords most webmasters consider statistics of Yandex requests.

WordStat.yandex.ru (Vordstat) - Yandex Query Statistics

Yandex Wordstat (WordStat.yandex.ru) Unites all sorts of wordworks, while most often not given the prepositions and questionnaires. If you just write a keyword in Yandex to Yandex, then the service will show you the total number of impressions of this word, word forms and phrases in which it was found.
For example, write:

query statistics
(Views: 31535. Words include: yandex Query Statistics, Search Query Statistics etc.).

In order to achieve concretization on a specific word form form in Yandex Wordstat, you need to use special operators.

The most common is the conclusion of the desired search query in quotes (""). In this case, a specific keyword will be taken into account in any word form.
Example:

"Query Statistics"
(Shows already 4764. Included: query statistics, query statistics etc.).

Operator exclamation mark! Allows you to consider only accurate values \u200b\u200bof keywords.
Example:

"! statistics! Requests"
(Shows already 4707. Now we have learned the exact number of requests of interest to us. Please note the operator! It is before each word).

With the help of the operator - (minus) there is an opportunity to exclude specific words from the show.

Using the plus + operator, you can force Yandex statistics to take into account alliances and prepositions. You will receive data on wordforms with these parts of speech.

Bracket operators () - grouping and | - or. These operators are used to compile under one request as a group of keys.

It is worth noting that operators can be combined with various ways to significantly reduce the time collection time of statistical analysis.

Statistics of Yandex search queries leads not only derivatives from the words entered, but also associative requests that users used with your requests. Such an opportunity contributes to the essential expansion of the semantic nucleus (the tab on the right - "what else was looking for people looking for ...").

The first tab WordStat.yandex.ru "According to" contains the total number of options for specific search queries. Using the Region tab, you will be able to determine the particular keyword in one or another search region.

The "On Map" tab reflects the frequency of use of requests on the world map. To track the frequency of this query for a certain period, you can use the "For months" tabs, "on weeks". This is especially true for seasonal requests.

First, Yandex statistics do not provide data on the number of people who made the search for specific requests, it only issues the number of deposit results of the search results containing this request.
Secondly, Yandex Wordstat default shows data for the last month. It should be borne in mind that some requests can wear a seasonal nature, as well as there are requests, the so-called "takeoffs of interests".
Thirdly, the figure that stands on top of the request includes all the keywords containing the request itself and its word form. Special operators should be used.

When taking into account all the features that WordStat.yandex.ru provides, and the competent use of all tools, this service becomes the most important component that most webmasters use when promoting modern resources.

Google request statistics

Google has as many two services that can be applied as key request statistics. Google statistics for selection of keywords is often used as an additional tool for expanding the semantic kernel. This service usually determines the language and region to search, the task of the optimizer - the preparation of the starting set of words. As a result, the system will offer you similar requests, indicating the frequency of their impressions and competitiveness.

Google search statistics are more designed to compare the popularity of several search queries. In addition, a visual representation of changes in the dynamics of the popularity of the query in the form of graphs is proposed.

Rambler request statistics

Rambler request statistics is not as popular as the search engine Rambler is not so active "uses" Internet users. The main difference from Yandex statistics is that there is no combination of results for different words. In other words, you can get accurate statistics in the query frequency in the desired number and the case without the use of additional operators.

Rambler search query statistics would be a convenient addition to Yandex if this search engine was more authoritative in RuNet. It is worth noting that the rambler statistics allows you to determine the number of views, both the first and any other pages relative to a specific set of words.

Search queries - frequency and competitiveness

What else should the beginner optimizer about target queries know? It is usually accepted to divide all search queries for high-frequency (RF), mid-frequency (s) and low-frequency (LF). As well as highly competitive (VC), mid-ritberry (SC) and low-competitive (NK).

Of course, the best option will be high-frequency and at the same time low or the midconditioner request. But such rarely meet. It happens that low-frequency request is highly competitive. Usually high-frequency - these are highly competitive requests, mid-frequency - these are mid anconditional, etc.

It should be borne in mind that these terms do not bear any specific quantitative values \u200b\u200bunder them, since for each topic, these figures will be varied. It is worth understanding that the promotion of a particular site will determine not only its subjects, but also a specific situation in the market.

It must be borne in mind that the competent use of statistics of search engine requests is one of the components of the optimization process. Visitors who will follow certain search queries should receive the information on which they calculated only in this case they will want to return to your resource.

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

The main features of Wordstat Parser in Promopult:

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

Features of the service:

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

A little theory: why know the frequency of keywords?

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

How it works in practice:

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

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

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

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

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

On this score, there are many opinions: someone believes that you need to leave queries with frequency not lower than 50 by "!", And someone works with frequency requests from 1 to "!". In this manual, we will respond in detail to all questions regarding this topic.

When assessing Yandex tips, there is a problem of so-called "phantom" tips - tips that Yandex automatic generates based on personalization or other data. Our algorithms are effectively finding such tips and cut them out, allowing you to save many times and money.

What we have in the end:

more frequency, but often screwed, requests from "left column" Wordstat
nepiypical for Russian language, rebounds like "Kids Kids Moscow Buy"
less frequency, but real, live requests of users from search tip
* Search queries from Yandex Metrics and Google Analytics

* Such queries can be discharged for a long time period and at the time of collecting frequency may have zero frequency due to seasonality or inactivity of the request at the time of the frequency collection.

I gathered tips, but many of them have a small frequency "! WS", is it worth using them?

Certainly worth it. Our service is designed to find as many target keywords that can be used and they do not know competitors. Most of these keywords are low-frequency and they bring up to 70% of search traffic to websites in any country in the world. Plus, as already mentioned above, these are live requests of users who are relevant at the moment and can (often happening) to quickly gain popularity, creating new semantic trends and sections.

Keywords lower than what frequency to discard?

It all depends on the subject of your site:

In the subjects, where the search demand is narrow (as an example - repair of telephones Vertu) - it is advisable to use even the keywords with frequency "!" \u003d 1 because Here each user from search engines is important - they are in principle a bit.

For e-commerce, such as electronics / gifts / clothing stores, where very large search demand - you can discard all the keywords with the frequency less "!" \u003d 5, concentrating efforts on more frequency queries, and to a completely unpopular NF back later, with a second iteration.

For information sites, such as recipe sites, cinema-subject sites, essay sites, car portals and other similar sites - you can discard all keywords with frequency less "!" \u003d 50 because The demand in these niches is simply a huge and physically unreal working on the entire semantic core. Go from the most popular user needs, less popular. Work iterations.

How not to lose the desired requests and do not throw out too much?

There are such situations and subjects in which:

search demand is very little in principle
multile queries prevail in various flows and reformulations

a) The first option is to leave queries with frequency from "!" \u003d 1, as mentioned above. But not everywhere it is possible, in some subjects such requests or too specific (do not have common URLs in Serp with other requests and are not clustered) and it is impractical to promote them (there is no point to create a separate page for such low demand) or not quite targeted.

b) the second option is to use "", instead of "!". This method works when verbose queries in your semantics prevail in various flowforms and reformulations. The fact is that "!" Fastens a specific word form, and since a verbose request may have a huge set of reformulation, and "!" Gives only one specific, all the rest you lose. It is advisable to use this method if you see a steady trend of a sharp drop in frequency from "" to "!" - drop by 70% or more.

Do not forget about seasonality

It is also necessary to take into account seasonality for some requests. It can be viewed in Yandex Wordstat, if you select the "query history" after entering the keyword.

So, for example, requests associated with New Year holidays begin to increase in the frequency since September, and from mid-December already fall.

It is also very important to take into account the fact that Yandex shows the data over the past month. And if you have a new request, such that just appeared, data about it may not be, or there will be low frequency. Or, option is possible that you shoot the frequency in the "low season". If you have an exemplary idea of \u200b\u200bthe popularity of requests, but the frequency on them turned out to be much smaller than you expected, check seasonality and do not rush to refuse these requests! Starting promoting requests to the "low season", you will get an advantage over competitors who will begin to promote the same requests to the "high season".