What are LF MF HF requests? Their types and decoding. What are LF, MF and HF queries Low frequency keywords

Do you want to get more targeted traffic from, but the promotion of high-frequency queries is problematic? Try it differently. Use promotion on low-frequency queries, and low-frequency traffic will greatly surprise you: it will come faster, it will be higher from it, and the competition is lower. But "how is this so?" and "what's the catch?" - I'll tell you in more detail now.

High-frequency and low-frequency queries

Imagine a huge apple tree with overgrown apples growing at the top (HF requests), and at the bottom of which are covered with fallen smaller apples (LF requests). At the top, the apples are big, beautiful, not always tasty, but they are in great demand. Many people climb to the top of the tree for the biggest apple, fight for it. At the same time, not the largest, but ripe and tasty apples grow at the foot in huge quantities, and no one fights for them. Your goal: to get as much apple mass (whole SEO traffic) as possible.

What will you choose?

1. Collect a full bag of smaller apples.
2. Join the battle for the biggest apple.

The most curious thing is that the choice of the first item does not mean at all that you have given up, and are not going to fight for the top of the tree and the largest apples. You just take the time to prepare for the battle with the competition, and the more low-frequency queries you collect, the easier it will be for you to get a place in the TOP.

What queries are considered low-frequency

Low-frequency queries most often describe a specific need. Here examples of low-frequency queries:

1. buy car toyota rav4 2011 in moscow
2. children's center moscow vdnkh wool felting
3. kate upton carls junior commercial

Therefore, unlike high-frequency queries, low-frequency ones can convert better, since a page "sharpened" for a low-frequency query is more likely to give a visitor an applicable result.

Promotion of low-frequency queries

Low-frequency queries are unpretentious: they do not need to be fertilized external links, you need to simply and informatively give an answer to the exact search LF query. If the answer is useful, the page of the site dedicated to this low-frequency query will quickly find itself in other search engines, receive it, and it can be passed on to other pages of the site that are more difficult to promote, for example, by medium-frequency queries.

There are practically no problems with how to promote low-frequency queries. LF queries promote themselves and help promote the entire site as a whole, forming a basis as a solid foundation and the basis of the semantics of the site. Low-frequency queries allow you to reach wide and thereby attract more traffic over a larger number. Large keyword coverage- an important one that can affect the promotion of all pages of the site in search by saturating the topic with keywords.

Selection of low-frequency queries

How to find low-frequency queries? Fully! All low-frequency requests you can find, up to 1 impression per month. Why? Because the Internet is actively developing, and if now they search for a low-frequency request 10 times a month, then in six months they can start searching 100 times a month. Although it's not even about impressions for low-frequency keywords, but about semantics, as I already wrote above. And also the fact that each key request is a question and if YOU do not answer the question, YOUR COMPETITOR will answer.

How many low-frequency queries are? The more requests you collect, the better. The more requests are reflected on the site, the more low-frequency traffic will be and the faster the promotion of mid-frequency and high-frequency requests will go.

Advantages of website promotion for low frequency requests

Since the coverage of low-frequency key requests occurs gradually, it is possible to clearly assess and plan costs and results. Moreover, the result of promotion for low-frequency requests is the most stable among all promotion methods. These sites are the hardest to compete with.

In order to promote a site for low-frequency queries, it is enough to regularly and methodically describe low-frequency queries on the site. How? Create, answer audience questions. In parallel with content creation, plan. Even a beginner can engage in website promotion with low-frequency queries, this is the easiest way in "combat conditions" to understand how search engines work, while not going broke and not losing what has already been developed.

Promotion of low-frequency queries is also the biggest plus of such promotion - the absence of regression. YES! Content is not purchased links, it won't dissolve after you stop paying. He will stay with you and continue to drive traffic. In fact, LF promotion is a win-win if the specifics of your work and subject matter allow you to work with LF requests.

What is the bottom line

1. Low competition for targeted queries.
2. High conversion in.
3. Ease of promotion, even for a beginner.
4. Large coverage of key queries and target audience.
5. Stable growth of positions and traffic.
6. Exact planning of promotion costs.
7. High frequency of site indexing due to development.

Are you promoting your site for low frequency queries?

LF, MF, HF- these abbreviations that mean low-frequency, mid-frequency and high frequency requests accordingly. That is, how many times the request was asked in search engines per month.

The lower the frequency of requests for some key phrases, the easier it is, as a rule, to promote the site. But this is not always the case, since a lot still depends on the competition of the request.

It is difficult to name the exact gradation of how many requests a tweeter, midrange and woofer should have per month. It all depends on the topic. The approximate figures are as follows:

• LF - less than 150 requests per month
• Midrange - from 150 to 5000 requests per month
• HF - from 5000 requests per month

These figures are approximate and, as already mentioned, it all depends on the topic. Those. in some topic, 500 requests per month will be considered low frequency.

How to check the frequency of queries in Yandex

You can check the frequency of a request in Yandex at wordstat.yandex.ru (free). However, you should not trust 100% of the data that is shown there, since this is the statistics of Yandex Direct requests. These values ​​can be used primarily for rough calculations. For example, if query 1 was requested 100 times, and query 2 - 200 times, then we can safely say that the frequency for search will differ by about two times.

I advise you to check the request frequency in the following format:

The rule is very simple: write a query in quotes and put in front of each keyword Exclamation point"!" This way you can determine the frequency of the exact phrase you are looking for (with exact endings). However, even the information that you received will be based on data from the direct. But this method will help to track the relative competition.

You can read more about the syntax in Wordstat in the articles

To compose the semantic core (SY) and do it absolutely free, you need to: use the wonderful, and most importantly - free, service from the Yandex search engine, which is called Yandex Wordstat. This service is available at wordstat.yandex.ru. In addition to the specified service, we will also use a free program klooch.

How to use Yandex.Wordstat?

In a special input field, we write phrases or individual words, the frequency of which we want to check and find similar ones. Then we press the button "Pick up".

After the selection, we will see the statistics of queries in the specified search engine, which will include the phrase or word we specified. In addition, there we will see other requests that people indicated using the words we specified. Phrases and words will be in the column on the left, and other queries will be on the right.

Some numbers will be displayed next to each query. They give some preliminary forecast of the number of impressions per month. And, perhaps, we will receive this number of impressions when specifying this request as keywords or a word. Let's say a certain number next to the word "laptop" will denote the number of impressions with the word "laptop" for all queries, such as: "compare a laptop", "buy a laptop", "laptop broke", and so on ..

You can also specify "All regions" and then the selection of words and phrases will come from "the whole world." Or, specify a specific region or regions and the selection will match requests only from the specified region.

Why are we not going to search for words with the Slovoeb program?

The thing is that this program recent times quite often it doesn’t make me happy and gives out 50 requests at once. Also, the requirement to enter captcha appears very often.

What is a program klooch ?

With this free software you can easily determine, so to speak, the freeiness of this or that request. More about this will be discussed below.

How to determine the frequency of the request?

There is no absolutely definite indication to determine the frequency of the request! For example, for non-commercial queries, this level is higher than for commercial queries.

Without insisting on anything, you can define it like this:

Micro-low-frequency (mNF) - from 0 to 200 requests per month;
Low-frequency (LF) - from 200 to 1200;
Medium frequency (MF) - from 1500 to 5000;
High frequency (HF) - from 5000 and practically to no limit.

You can also highlight Mega frequency (mHF), but you shouldn't go into it.

How to determine the competitiveness of a request?

Competitiveness of requests can be determined by formulas, or it can be done "by eye". For example, you can see the number of documents that appear in the search results for a specific request:

1) Results from a million and more - highly competitive (VK);

2) From 100,000 to 1 million - medium competitive (SK);

3) Up to 100,000 - low competitive.
This sorting will never tell you exactly, so we will not take it into account. Competition can also be determined by a direct entry into the title of the article - the more entries, the worse for us; by the total number of optimized articles - the fewer such articles, the better; by the number of main pages in the search results - the fewer muzzles, the better; on the trust of the site from the issuance - a smaller trust is better.

There are many such divisions, we have indicated the main ones. First, we need to define the subject of the request, for example, the subject of our site is games. So, there is no need to take the query "how to train cats", since this query does not fit our topic. And for search engines, all this is not very good.

For example, let's take all the same "games" theme. We enter a general query into Yandex.Wordstat, such as “play….”, “…. finish the game":

After that, we select a more rare query, such as "play races."
We see the following:

Now we select the low frequency request. But, there are also many generic queries here. Therefore, we need to go to the second page and select the query "play races against zombies." Number of requests per month - 516:

We analyze:

According to the Klooch program, there are no matches in the Title in Yandex. Therefore, you can easily reach TOP10 or even TOP3. How can we now determine whether a request is free?
Let's say there are five matches in the Title - then you can reach the top6 without any problems. That is, the less matches are obtained in the Title, the better for us. The situation is similar for master pages.

Next, we copy all the found requests to Exel. But! We are not interested in the frequency of 500 requests per month. We need to find medium-frequency queries. Let's take a closer look at the example of the query "race to play online makvin".

We analyze:

This is a medium-frequency, long-tail query. This request low competitive. There are few pages for this request in the SERP. It can also be included in the semantic core.
Now it's time to find a free high-frequency query, for example, "cars play races."

A search term is what a user enters into a search:

The frequency is largely due to the topic and scope of the business, as well as the region, seasonality and search engine.

You can check the frequency using Yandex.Wordstat.

Types of search queries by their frequency

• How to find low-frequency queries? Take everything that Wordstat shows, up to 1 impression per month. The more bass at the start of work, the more traffic there will be.
• How to promote low-frequency queries? These are the simplest and most undemanding queries, they do not need to be backed up with links - you just need to create relevant content: write articles, news, product cards, which will most meaningfully and accurately answer the user to his question.
• Traffic for such requests will start to grow immediately, but perhaps slowly: the requests are low-competitive, the results may not be impressive at first, but the more such requests are introduced to the site, the higher its traffic will eventually be.

Highly competitive low-frequency requests do occur, but rarely - mainly in narrow commercial niches with high competition. That is, there are very few people who enter such requests, it will not be easy to bring the site to the top, but if a user comes to your site, then most likely he will become a buyer.

Medium-frequency requests, their concept and features

How many mid-frequency queries are? The midrange is slightly more popular than the bass. Medium-frequency and low-frequency queries are the basis of website promotion, because there are the most of them. Using both groups of queries, you can achieve optimal traffic with a small investment.

It is more difficult to promote a site in commercial mediums than in informational ones, and this must be taken into account: commercial requests are selling ones, and the competition for them is higher. For medium-frequency requests, the number of offers corresponds to the level of demand: there are indeed a lot of sites that are promoted mainly in the midrange. For example, on the Internet, more than one company offers "Buy plastic windows inexpensively", so be prepared that the work on the site in this case can take a lot of time.

High-frequency queries, their concept and features

What queries are considered high frequency? Those that users enter in the search most often - more than 1000 times a month, for example:

High-frequency queries are an as wide variety and total number of options as you want: there are not only informational and commercial, but also branded queries, which generate a lot of traffic. But such queries are extremely highly competitive, so the highest frequency queries are the most expensive in all respects.

Another drawback of high-frequency queries in Yandex and Google is not the highest conversion: it is not clear what the user wants by entering search string inquiry "Laptop screen"... He needs information on care, addresses of workshops where he can be repaired or replaced, or some specifications? And the content of the page may not be what he is looking for at all.

• How to determine high-frequency request or not? Use the same Yandex.Wordstat.
• How to promote high-frequency queries? Long and expensive. To get to the top of the search results, you will have to work long and hard on the site, investing heavily, including financially. It should be borne in mind that, in particular, the highest-frequency queries (Yandex or Google - it doesn't matter) are a huge flow of audience, including non-target ones, and extremely high competition.

What are the best queries to choose for promotion?

Which queries - low-frequency, medium- or high-frequency - to collect for search engine optimization your internet site? The ideal search queries for promotion are low-frequency and highly competitive, but this is a seldom-fulfilling dream of the optimizer and client. Therefore, which queries are best for your site depends on the site itself.

If SEO has not been carried out earlier, the site is not optimized and you are only at the beginning of the journey, then you need to take on the low frequencies first and work on them, gradually connecting the midrange and high frequencies.

If the site is optimized for MF and LF as much as possible, go for HF.

By the optimization vector, you can also select queries for promotion:

• if the site is developing for demand in a direction or area as a whole - use HF;
• if you need to attract targeted visitors who are looking for one or more areas of your company's work, use more midrange;
• if you need high conversion and sales growth, focus on low frequencies.

Many budding optimizers ask questions about query rates. What is LF, MF and HF? How to determine if a request is high-frequency or low-frequency? Does the topic of the site affect the assignment of the request to one of the intervals? Etc. We will try to answer all these questions, as well as to reveal in more detail some points in questions of frequencies.

Definitions

Note that the terms “ frequency" and " frequency“! Frequency Is a characteristic of a batch 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 for in a search engine, and frequency of request(let's say on a page) - this is the percentage of the content of the request (word) on the page in question. This article will only consider the concept of search frequency for a specific key phrase.

HF (high frequency) queries - the most searched word (words, phrases) in your topic (most popular queries).
LF (low-frequency) queries - 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 (hereinafter there will be an exact quantitative definition).

Competitive request- this is a query for which it is difficult to climb into the top of the sickle (the first results in the 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 in the crescent for a given key phrase.
Low competitive request- a request in which the 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 subject matter and goals of the site (for more details on the significance, see here What is the minimum significant frequency of request sampling). The frequency below which queries do not fall into the sample of significant ones and are not viewed for analysis is called minimum significant sampling rate.

How to determine RF requests for your site

To determine the frequency of search queries in search engines, there are services that provide this information... For example, to search for the frequencies of Russian-language words, you can use the service provided by 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 "duct" in wordstat and get a list of relevant queries, where "duct" is in the first place with 16,949 impressions per month. But in the right column we can see the word “fans”, which is searched much more often (75485 per month), but fans may not be related to your topic and, therefore, to consider the word “fan” in your topic as a high-frequency request will be incorrect. That is, from the entire set of queries, you need to make a selection of the most significant (up to words with the minimum significant frequency, which is determined by the webmaster or optimizer). And already this sample should be differentiated into HF and LF. Sampling meaningful queries is the definition semantic core (this is what SEOs mean when they say that “the subject of the site affects whether a request is considered high, mid or low”).

Precise definition of the boundaries between HF, MF and LF

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

If we take the arithmetic mean, then it turns out that among the sample we do not have an average number at all. To do this, consider the dependence of the sample on the graph (Figure 1.1). It can be seen from the graph that the dependence is logarithmic, since if the abscissa axis (request number) and the ordinate axis (request frequency) are taken on a logarithmic scale, then with some error we will get a linear histogram of request rates. This means that the midrange will be in the middle of this linear regression.

Figure 1.1 - Distribution graph search queries by frequency (axes are taken on a logarithmic scale).

Let us introduce the notation,
Hvch- the maximum value of the RF request frequency;
Hnch- the minimum value of the frequency (minimum significant frequency) of the request

Then, it can be argued that

Хсч = / (Хвч - Хнч)

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

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

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

Hsch = / hvch

Now let's check these values ​​with the example “ air ducts“:

Hvch = 16949, Hnch = 6

Хсч = / (16949-6) = / 16943 ≈ 130

The value 130 will be mid-range value. 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 center frequency will be approximately equal to 33% .

Middle Frequency Width:

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

Hence the interval from 10 log (Xsch) - D / 2 before 10 log (Xsch) + D / 2 will be considered the midrange. 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 stands above 646 will be HF, and below 26 - LF. All queries whose search frequency is in the range from 26 to 646 may be called mid-frequency requests.

Conclusion

The main relations for determining the interval of the middle frequencies are as follows:

Xcount.min = 10 log (Xsch) - D / 2, Xсч.max = 10 log (Xsch) + D / 2
Hsch = / hvch, D = log (Xvch) / 3

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