Low-frequency promotion increases traffic: how to select and promote low-frequency queries. Search queries and their frequency

Promotion in competitive niches for high-frequency (HF) queries seems quite problematic, because requires a large budget and a lot of time. But there is a way out! Apply SEO promotion for low frequency (LF) queries. This approach is especially relevant in light of the release of and. Main plus this method the fact is that the results will come much earlier, and the conversion will be higher. And now about everything about this in more detail.

High and low frequency queries

To quickly feel the difference, let's look at an example. Imagine that you are the captain of a fishing boat. The waters in which you fish are filled different types fish, from whales (high-frequency queries) and other more small fish (low frequency queries). Whale hunting is a rather dangerous and not always profitable business, but you can catch tons of small fish. Actually, your task is to expose yourself and your team to the least risk, to get the greatest catch in order to make the company profitable.

In addition, choosing a promotion strategy for LF does not mean at all that you need to abandon HF forever. Vice versa! When your site is promoted by a large number of NPs, it will automatically promote it and for more frequent requests, the main thing is to do it right linking.

What queries are low-frequency?

Usually, by typing in a long and detailed , the user is looking for something specific and such a request becomes. Here are some examples of low frequency queries:

• buy a car honda cr-v 1999 in kaluga
• vocal studio 3400 rubles per month Moscow
• order Baikal omul in Irkutsk with free delivery

By defining their goal in this way, the user is more likely to complete the target action(), hitting desired page site. Therefore, in this case, you need to structure the page so that it not only answers the request as accurately as possible, but also calls for a targeted action (leave a request, order now, etc.).

Promotion for low-frequency queries

This is actually the easiest part and is where it is recommended to start promoting your website. In order to advance on a low-frequency request, you do not need to purchase links or order articles. The only thing that is required from your site is a detailed and visual response with a picture (preferably a video) to an exact request from Yandex or Google. If the page gives a truly correct and detailed answer, then it will quickly appear in the TOP, which means it will receive a rating from the search engine, which can be redirected (using a link) to a site page that is promoted by HF.

A huge advantage of this strategy is that NPs promote themselves by providing a relevant and accurate response to the request. Thus, the basis is created for subsequent advancement in mid-frequency and high frequency queries. Also, thanks to low-frequency queries, you lay a broad semantic core, which, like a snowball, will increase site traffic.

Selection of low-frequency queries

How to select low-frequency queries? Include all low-frequency queries that you find through, as well as webmaster Yandex and Google. It is not necessary to create a separate unit of content for each request, because some are similar in meaning and can be combined on one page. For example, "non-standard plastic windows for a country house" This also includes queries such as “non-standard colored plastic windows for a country house” And “plastic windows of non-standard shape for a country house”. Such requests do not need to be distributed to different pages, or better yet, describe it on one page by including it in SEO headings.

If your site does not respond to such requests, then most likely, sooner or later, this will be implemented on the site Your competitor. Therefore, after reading this article, you will receive a head start of at least 6 months, of course, if you apply everything described above.

Conclusion

Create unique content a site that will respond to low-frequency queries. This will always bring new site visitors! If today the frequency of the request is only 1 time per month, then in a year it can be tens of times more! In addition, a larger number of pages on a site that are indexed by a search engine will give your resource more weight. In addition, this is the easiest way to promote your website and bring clients to your company, which even a beginner can handle!

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. IN search engines they are administered 1,000 to 10,000 times per 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 the 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.

Long tail example - Alcatel phone one touch reviews.

Promotion of such keywords often happens by itself. 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%.

/ 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 who are looking for 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 to get more specific information, they enter low-frequency questions (LF), for example, the 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. This is how you can filter out keywords when composing 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 frequency checking key query in wordstat, so that's where I'll start.

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

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) queries – the most requested 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 (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 keyword cases (tested on several dozen topics). With a different characteristic of search frequency behavior key phrases it is necessary to look for a function that describes the frequency distribution.

I want to warn you right away: promoting high-frequency requests is significantly different from promoting “mid-rangers” and low-frequency ones - you will have to spend significant effort and cash to get to the TOP. ABOUT free promotion forget it altogether, unless, of course, you are Jimmy Wales, the founder of Wikipedia.

What queries are considered high-frequency?

As you know, the frequency of a request determines its type: low-frequency, mid-frequency or high-frequency. However, for each topic, the numbers that determine the type of request vary greatly: the more competitive the topic, the lower the bar. For example, it is usually believed that high-frequency requests include requests with a frequency of more than 10 thousand per month. However, for commercial topics (sports, medicine, real estate, tourism), high-frequency requests can be considered those whose frequency is higher than 5-6 thousand per month.

Examples of high frequency queries:

• Download movies
• How to create a website
• Torrent tracker
• Yandex

Promoting high-frequency queries, despite the initial erroneous impression, is very often unprofitable: yes, you get a large influx of visitors, but many of them will leave your site very quickly. In other words, with HF request traffic is not targeted. This is explained by the fact that the expectations (needs) of the user entering the HF key into the search engine are extremely unclear: it is difficult to understand what exactly interests the user. This is where difficulties arise: what information to place on the site to please visitors.

The second reason why it is not always good to promote on high-frequency channels is the high cost of promotion. Many sites are trying to promote themselves using high-frequency keywords, so the competition here is simply terrible, it’s simply unrealistic to get through for free. As a result, it turns out that promoting through low-frequency queries is even more profitable: for the same amount you get the same number of visitors, but more targeted ones than those coming from high-frequency queries.

Assessing high-frequency queries

Parser programs that increase the frequency of many queries become the main reasons for the appearance of garbage keys. But they can only affect low- and mid-frequency queries. And the effect on high-frequency speakers is almost imperceptible. This means that the frequency that is shown in Google or Adwords is more or less accurate.

You should only be wary of clearly untargeted requests, which are logos and slogans of popular sites (most often these are URL keys). These include:

Users typing these queries are interested in specific sites, and they will not visit other resources. Therefore, promotion using such keywords is ineffective.

Features of the promotion of high-frequency speakers

Promoting HF requests is a painstaking task. Immediately prepare yourself for the fact that promotion will take several months - you are unlikely to be able to get to the TOP sooner. And you shouldn’t try to promote young sites based on high-frequency queries - search engines simply won’t let them into the top.

When promoting, it is necessary to create a very competent and varied anchor list. Then this anchor list will need to be used for anchor and non-anchor promotion. At the same time, it is extremely important to choose the right sites on which links will be purchased, paying attention to:

• TCI and PR of the main site;
• PR of the page from which the link will be purchased;
• Age of the site and page with the link;
• The number of links originating from the page;
• Quantity per page.

The more “body movements” you make, the more effective the promotion will be.

Also pay attention to the page being promoted (density of keys, amount of content, presence of subheadings and lists, etc.) - the more competently it is done, the greater the chance that you will be able to move to the TOP for a high-frequency request.

It has little effect on the promotion of HF requests, but it must be done!