LF, MF, HF - types of key queries, how they are deciphered and how to determine their frequency! Frequency of requests, high-frequency and low-frequency requests.

Many novice optimizers ask questions regarding query frequencies. What are LF, MF and HF?? How do you determine if a query is high-frequency or low-frequency? Does the theme of the site affect the assignment of a request to one of the intervals? And so on. We will try to answer all these questions, as well as reveal in more detail some points regarding frequencies.

Definitions

Please note that you should not confuse the terms “ frequency" And " frequency“! Frequency is a characteristic of a periodic process, measured in the number of units over a certain period of time. Frequency is a characteristic of the occurrence of a given object (word) among a certain set and is measured as a percentage. Roughly speaking, for our case, request frequency is how many times a month a given key phrase was searched in a search engine, and request frequency(let's say on a page) is the percentage of the query content (word) on the page in question. This article will only discuss the concept of search frequency for a specific key phrase.

HF (high frequency) requests – the most requested word (words, phrases) in your topic (the most popular queries).
LF (low frequency) requests – words and phrases that are requested with low frequency in search engines and relate to your topic.
midrange (mid-frequency) request - something in between LF and HF (later there will be an exact quantitative definition).

Competitive request– this is a query for which it is difficult to get to the top of the sickle (the first results in a search engine) due to the competition of sites relevant to this query.
Highly competitive request– a query in which there are a lot of competitors for a given key phrase in the sickle.
Low competitive request– a request in which internal optimization factors are sufficient for the site to be on the first page of the sickle for a given key phrase (word).

Significance of the request– the concept is subjective and is determined by the webmaster (optimizer, site owner) independently, depending on the topic and goals of the site (for more details on significance, see here What is the minimum significant request sampling frequency). The frequency below which queries are not included in the significant sample and are not reviewed for analysis is called minimum significant sampling rate.

How to determine RF requests for your site

To determine the search frequency of queries in search engines, there are services that provide this information. For example, to search for frequencies of Russian-language words, you can use the service provided by the Yandex PS - query statistics. To search for statistics on English words, you can use the KeywordDiscovery service.

Let's say that you have a website for the production of air ducts (for those who are not familiar with the concept of air ducts, you can read here: about air ducts). We enter the phrase “air duct” into wordstat and get a list of relevant queries, where “air duct” is in first place with 16,949 impressions per month. But in right column we can also see the word “fans”, which is searched much more often (75485 per month), however, fans may not be relevant to your topic and, therefore, considering the word “fan” in your topic as a high-frequency query would be incorrect. That is, from the entire set of queries, you need to select the most significant ones (down to words with a minimum significant frequency, which is determined by the webmaster or optimizer). And this sample can be divided into HF and LF. Sampling meaningful queries is the definition semantic core (this is what optimizers mean when they say that “the theme of the site affects whether a request is considered HF, MF or LF”).

Precise determination of the boundaries between HF, MF and LF

So you have a sample. Now we need to remember probability theory and the distribution function. Let us note once again, although this is intuitively clear, that midrange- This average frequency between HF and LF. However, it can be difficult to determine this average. For example, HF “air duct“ – 16949 and LF “sale production of air ducts“ – 6 requests/month. What will be the midrange then?

If we take the arithmetic average, then it turns out that among the sample we have no midrange at all. To do this, consider the sample dependence on the graph (Figure 1.1). It is clear from the graph that the dependence is logarithmic, since if the abscissa axis (request number) and ordinate axis (request frequency) are taken on a logarithmic scale, then with some error we will obtain a linear histogram of request frequencies. This means that the SP will be in the middle of this linear regression.

Figure 1.1 – Graph of the distribution of search queries by frequency (the axes are taken on a logarithmic scale).

Let us introduce the notation
hvc — maximum value RF request frequency;
Hnch — minimum value frequency (minimum significant frequency) request

Then, it can be argued that

Hch = /(Hch – Hnch)

(square root of the difference between the maximum and minimum frequencies)

The above dependence comes from the property of the logarithm log(x)/2 = log(x^0.5) = log(/x).

Often Hnch much less hvc and, therefore, it can be neglected, we get:

Hc = /Hc

Now let’s check these values ​​using the example “ air ducts“:

Khch = 16949, Khch = 6

Hch = /(16949-6) = /16943 ≈ 130

A value of 130 will be mid-frequency meaning. Now it is necessary to determine the interval in which the frequency will be considered average. To do this, divide the linear interval into 3 equal parts, so each part will have its own frequency range. The deviation from the absolute average frequency will be approximately equal to 33% .

Midrange Width:

D = log(Xwh)/3 = 3 /log(Xwh) = 1.41;

This means the interval from 10 log(Hc) – D/2 before 10 log(Hc) + D/2 will be considered the mid-frequency interval. In our case it is

=>

This interval includes such keywords as (information as of March 6, 2008 00:00 Moscow time): air duct cleaning, air ducts price, PVC air ducts, price air ducts, etc. Everything that is above the 646 mark will be high frequency, and below 26 will be low frequency. All queries whose search frequency is in the range from 26 to 646 are entitled to be called mid-frequency queries.

Conclusion

The basic relationships for determining the mid-frequency interval are as follows:

Xsch.min = 10 log(Hc) – D/2, Xcount.max = 10 log(Hc) + D/2
Hc = /Hc, D = log(HWH)/3

Note that when determining the SP interval, you should take into account the individual sample for your site and it may not always have a logarithmic dependence. However, the above formulas are suitable for most cases keywords(tested on several dozen topics). For another characteristic of the behavior of the search frequency of key phrases, it is necessary to look for a function that describes the distribution of frequencies.

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Selection of low-frequency queries for the site: identification marks

Before describing the stages of low-frequency promotion, we will look at what they are. These are queries that include more than 2 words that are requested in the search engine line less frequently than high-frequency queries. It is much more difficult to promote the project using them. By “more difficult” we mean more expensive and longer in time. These are all highly specialized requests that best characterize the needs of each consumer. Optimizing for them involves promoting a fairly large number of pages, each of which is tailored to one promoted query.

Examples of low frequency words

You can determine whether an option is high-frequency, mid-frequency or low-frequency using the well-known Yandex service WordStat. Having specified the desired region, enter the required key phrase. You will see the total amount of impressions per month for it.

For example, let’s take the word “stairs” - 556, 200 impressions per month in the Russia region, and “production of stairs” only 1,350 per month, also in Russia. If we select “production of oak stairs”, we will get an even smaller quantity (only 5 per month). The fewer impressions, the more highly specialized the request.

Benefits of low frequency promotion

Now let's focus on the positives. This:

• Fast and stable. You need to promote a young website using rarely encountered expressions. Since to bring it to the TOP for high- and mid-frequency options, you need to adhere to the parameters that are necessary for the general ranking algorithm of the Yandex PS. Traffic promotion of a website for low-frequency queries when reaching the TOP gives good results, as well as the trust of search engines.
• Step-by-step investment of your funds. No need to invest right away large amounts money. Initially, you can limit yourself to small financial injections.
• Long-term results. If you promoted a project using certain words, it will not lose its position for a long time.
• By promoting your website, you fill it with unique, competent content for people. It means that potential visitors not only will they visit the resource, but they will also stay on it. They will be interested in learning new information on the site.
• Targeted quality traffic. You will spend a minimum of effort and will be able to see the results of your work soon. Choosing wisely low frequency queries and by optimizing the page, you will get fairly decent traffic, which will consist of targeted visitors.

If we talk about the disadvantages of website promotion with low-frequency queries, then:

• Low-frequency promotion often requires changing the structure of the site: it will be necessary to create new pages and subsections on the project.
• The process of collecting a low-frequency semantic core will take a lot of time.
• It will take a lot of quality and unique content, which means time (if a full-time content manager writes) and money (if it’s a third-party freelancer). But it is worth noting that in any case, the financial costs of promoting for low-frequency queries will be much less than for high-frequency ones.

When can we expect the first results? After the first text update search engines, that is, in about 2-3 weeks.

In what cases is it profitable to promote using this method?

For example:

• The company has many services and products that do not overlap each other - online stores.
• The target audience of the site is users who have decided on their needs.
• The resource that is being promoted is already located in the first positions of search engines in the mid- and high-frequency search engines. Now we need to increase the flow of visitors.
• You need to save your budget.

Due to a fairly large volume of text and the presence of keywords on the topic, the search engine on your page begins to form a large number of phrases with keys. Additional phrases are being formed. It is impossible to predict how many impressions will be shown. There are a lot of them.

How to select low-frequency queries

1. The selection of low-frequency queries for the site begins with hints from Yandex and Google
2. The well-known Yandex service Wordstat - wordstat.yandex
3. Pastukhov's databases - there are words here that you will not find in Wordstat.

How to promote low-frequency queries

Consider that we have successfully completed the selection of low-frequency queries, and now all that remains is to advance to the TOP 10. Even though you won’t need a lot of money, you will have to spend a lot of time and effort. After all, for each request you will need to create separate page, write text for it, add meta tags and develop competent linking Online.
So, how to promote low-frequency queries and what is needed for this:

• High-quality SEO texts;
• Internal linking;
• Keywords in title, description, h1.
• To increase natural link weight It would be ideal to add some quality inbound links to your promoted pages. This will help you reach the TOP faster.

In conclusion, I would like to say that website promotion using low-frequency impressions is an excellent opportunity to attract a large number of visitors to the resource in the shortest possible time, save money, and start earning money. This is a profitable, proven method.

If you still have any questions, you can contact SEMANTICA specialists who will help solve them. Good luck!

And its pages involve the constant implementation of analytical tasks for the selection, comparison, and evaluation of search queries made by users on the Internet. Important comparative characteristics queries is their frequency of use by users in searches, calculated over a period of time, usually a month.

Based on the frequency of use of queries, they are divided into high-frequency (HF) and low-frequency queries (LF). They will be discussed in this article. There is such a thing as mid-frequency request (MF), about them in other articles.

High and low frequency queries

User search queries are divided by popularity into high and low frequency queries. High-frequency queries are very popular queries made by Internet users. Accordingly, low-frequency queries are not popular, but consistently present queries of users on the Internet.

For example, according to statistics Yandex Wordstat, the phrase “buy a car” was requested 1,602,495 times this month. The frequency of requests is high, this is clearly a high-frequency request (HF). And the phrase “buy a Volkswagen Beetle” was requested only 71 times. This is clearly a low frequency request.

High frequency of requests
low frequency requests

Two query optimization strategies

Each Internet resource is optimized for specific search queries. The theory of Internet resource optimization includes two optimization strategies for queries:

• Optimization for a small number of high-frequency queries, otherwise they are called keys (keywords);
• Optimization for big number low frequency queries.

In practice, both of these promotion strategies are usually used in combination.

Advantages and disadvantages of HF and LF requests

Disadvantage of high-frequency queries, and as a consequence the difficulty of moving along them is high level competition. means that a lot of sites are promoting the resource for these requests. It is almost impossible for a young site to rise to the top of search results for HF (high-frequency) queries.

Advantages of RF request, this is very high traffic, in case of successful promotion.

The advantage of low-frequency queries This low level competition for them. For a low-frequency query to work, it is enough to mention the necessary keywords and phrases (keys) on the page and do minimal text optimization. The promotion strategy for low-frequency queries involves the use of a large number of such queries. If done correctly, there is no spam in the number of keywords in the texts, then low-frequency queries can provide very decent search traffic.

Lack of low frequency queries, this is a large amount of content to achieve normal traffic.

Frequency of requests and its focus

What is the task of website optimization? That’s right, attract new visitors to the site and retain old visitors. Since most commercial sites are focused on selling various goods or services, this means attracting new customers and retaining old ones.

Compiling the semantic core of the site and conducting search engine optimization(promotion in search results), you must strive to ensure that visitors to your site are targeted, that is, aimed at purchasing a specific product or service (in a store) or searching for specific information (on an information site).

It is better to make several articles targeted at precise low-frequency queries than one article for a high-frequency query with a lot of competition.

Let me give you an example. The request “TV” is much more popular and an order of magnitude more competitive than the request “ samsung tv UE42F5000AK" ( specific name models). But for the TV seller, the user making the second request is much more valuable and it is much easier to receive it - there is little competition for the second request.

Optimization for a specific low-frequency request can be more important than optimization for a general high-frequency one.

An assessment of the frequency of a query, when compiling the semantic core or keys of an article, should be combined with an assessment of the degree of competition of search queries. About this in the article: .

Note:

• High-frequency requests (HF), from several thousand requests per month. Evaluated by every search engine.
• Low frequency queries (LF), up to a thousand queries per month. Evaluated by every search engine.
• Mid-frequency queries (MF), between HF and LF.

/ Date: 2014-07-30 at 22:35

Hello everyone friends. In this article I will tell you what LF, MF and HF are, how these letters are generally deciphered in the SEO environment and how frequency is generally determined.

The topic of website promotion covers a lot important points, which every novice webmaster should be familiar with. One of these points is keywords, which are an important component of every website.

Keywords, also called keywords by some webmasters, are words and phrases that users typically type into a search engine to find information on a given topic.

I have mentioned them several times in previous articles, introducing you to the basics of SEO, so it’s time to tell you about keywords in more detail, teaching you how to work with them.

Why is it important to optimize your articles for KS?

I also talked about how the site should be optimized for key queries. Each site has a lot of pages, this includes the main page, sections of the site, as well as articles posted in these sections, and all of them must be optimized for a certain key.

Let's stop at this point and try to understand why it is so important to optimize all content on the site for certain keywords. I'll try to explain this with a specific example.

Let's say you have a site on a construction topic, on which there is an article “How to build a house from bricks”, optimized for this key. In this article you describe in detail the process of building a house.

Will the user receive an answer to their question? Yes. And now the situation is different. The same article, optimized for the same key, but talking about some company engaged in the construction of brick houses.

Will the user receive an answer to his question in this case? No, and most likely he will immediately close your site, and the reason for this will be an incorrectly selected keyword. And then search engines, noticing that visitors have no interest in this article, will conclude that your article has no place in the TOP, lowering it in the search results.

It is for this reason that you need to wisely select keywords for each article on the site. Therefore, try to write articles for certain key queries and reveal the whole essence of this issue.

Also, you should not optimize an article for several keywords at once, as this will not achieve anything. Select 1-2 key queries, but related to the content of your article, and that will be enough.

What types of key queries exist (LF, MF, HF), how they are deciphered and how they differ from each other.

I also already said that keywords can be classified into low frequency, mid-frequency And high frequency.

High-frequency queries (HF) include the most popular queries that are searched by a large number of users. Let me give you an example. The key phrase “do-it-yourself construction” is a high-frequency search. It does not contain any specifics and is for informational purposes only on this topic.

The keyword “building a house with your own hands” can be classified as a mid-frequency (MF) query. This query is more clarifying, but far fewer people are searching for this query.

If users want more specific information, they enter low-frequency questions (LF), e.g. key phrase"Building a brick house with your own hands."

The differences between each of these types of keys are obvious: the lower the frequency of the request, the less competition, and the shorter the key, the higher its frequency.

As for articles, as a rule they are written for low-frequency queries, since the main goal of each article is to give the user specific information on an issue of interest to him.

Mid-frequency keys can be used to optimize sections of a site, since they clarify in more detail what issue the section is devoted to, but still do not provide specifics. Well, high-frequency keys, in turn, can be used for optimization home page by telling search engines and visitors the topic of your site.

And to make it more clear to you, I drew the following diagram for clarity:

How to determine frequency using Wordstat yandex and Allpositions

The next thing I would like to tell you about is determining the frequency of keywords. This is necessary in order to select the most frequent queries for your site. I will tell you how to determine the frequency of keywords using the example of such services as Wordstat yandex and Allpositions.

Let's start with wordstat. I enter the keyword I'm interested in and see the following:

Many beginners believe that the number 38565 is the frequency given key. But this is not so, and Wordstat just uploaded to us general statistics for all keywords in which it appears this phrase. To find out the exact frequency of our request, you need to put it in quotes:

The number 112 is the real frequency of this key. At first glance, it would seem that a high-frequency request in reality turns out to be completely different. In this way, you can filter out keywords when compiling a semantic core.

It will also be possible to sample by region if you are promoting a site in a specific area or city.

Now let's move on to the service Allpositions. In fact, this service is designed to check the position of your site in the PS, but you can also find out the frequency there. First you will need to register.

I will not dwell on this step, since registration is quite simple. After registering and logging in, you will be asked to create a project:

Enter your site's address in the URL field and click add. After this you will need to create a report:

This will not cause you any difficulties. There you will need to once again enter the site address, select the search engines and regions under which the site will be promoted and set the time at which the positions will be checked. After the report is compiled, you need to add the keywords by which the site is promoted:

Enter the keys you collected and add them. After this, you will see this sign in front of you:

In fact, there is another column in which keywords are written, but since I used them from my site, I will not advertise them. Wait a while for the report to update, after which statistics for each keyword will appear in front of you:

So the frequency column displays the frequency of each key.

How to correctly use query languages ​​in Wordstat yandex

And the last thing I would like to talk about is the query languages ​​in Wordstat yandex. I already mentioned one of the query languages ​​above when talking about checking the frequency of a key query in wordstat, so I’ll start with it.

Quotes. They are needed to find out how many times a specific query was entered. Quotes help exclude other queries that contain your keyword. If you need to exclude a word and collect keywords that do not contain it, then this can be done using a minus sign. Note:

These are queries without a minus sign, but here’s how the statistics will change if you add it:

Since there is a minus request, then there is probably a plus request as well? Yes, indeed, there is such a query, and it is intended to ensure that queries with prepositions and conjunctions are taken into account in statistics:

As you can see, in the second case, only those requests that contain the phrase “for home” are displayed.

Another request is Exclamation point"!" It is necessary in order to select all requests that contain the key you need:

And the last of the operators in the query language is for grouping keywords. It is denoted by brackets “()” and a vertical bar “|” inside brackets between words:

That is, we made a request so that wordstat would give us keywords for the queries “home repair” and “house construction”.

So we have looked at everything that is important to know for working with keywords. I hope you find this article useful and that it will become much easier for you to select keywords for your site. Bye everyone and see you soon.

Sincerely Shkarbunenko Sergey

Queries for website promotion are keywords or phrases by which Internet users search for information about specific products, services, etc. All search queries are divided into three types: low-frequency, mid-frequency and high-frequency. In addition, there is an additional category “long tail”.

Low frequency queries

These are the keywords for which Internet users search for information no more than 1,000 times a month. The search takes place using special search engines, the most famous of which are Yandex and Google.

Examples of low-frequency queries are “buy spare parts in Moscow inexpensively” and “Lenta Style dress model 1068.”

By creating a page for low-frequency keywords, you will attract your first audience to the site. And in two months (or maybe less) your site will be in the TOP 10 search engines for the queries you promote.

Mid-frequency requests

Queries that are more popular. They are entered into search engines from 1,000 to 10,000 times a month.

An example of mid-frequency queries is “asus monitors”.

Promotion using keywords in this category must begin when you have already taken at least some positions in the search for low frequency words.

To promote according to middle requests, it is necessary to carry out internal linking between the pages of the site, as well as purchase external links on third-party Internet resources. At the same time, it is important that third-party sites have a good reputation and trust, and that the links do not look like outright spam.

High frequency queries

Keywords in this category are the most popular among Internet users. This group includes queries that appear on search pages more than 10,000 times a month.

An example of an RF request is “Apple”.

To be in the top for this type of words, you will need patience, attention and hard work. It can take six months or more to get into the top ten sites for HF queries.

Before you start promoting high-frequency queries, you should have a strong foothold in mid- and low-frequency words. Internal linking must be in perfect condition, and external reference mass on verified sites should increase steadily. In addition, you will have to become familiar with concepts such as " behavioral factors" and "promotion through articles."

A long tail

Queries for which users search for information even less often than for low-frequency ones.

An example of a long tail is the telephone. Alcatel one touch reviews.

Promotion of such keywords often happens on its own. And if not, then they should pay attention. After all, if a user goes to the site based on such a request, the probability of purchasing a product or service is 99%.