Optimization of behavioral ranking factors. How to optimize behavioral ranking factors? How can I improve behavioral factors in search results

Not so long ago, a new service called the optimization of behavioral factors appeared on the market, which contributes to the growth of positions. But before you consider it, let's see how some experts resort to the cheating of behavioral factors:

  • the resource is added to the service involved in the cheating of PF;
  • further, the folder is selected: manual or automatic;
  • automatic - allows you to bring robots from search engines that perform specified automated processes.

In many cases, the site receives sanctions for cheating PF, to remove which is very difficult, and sometimes it is impossible at all. Search engines are easily calculated such a cheating, as the robots are "pourable" by IP addresses, identical browsers, screen resolutions and other similar characteristics and actions. Understanding this, some optimizers resort to a special cheating of competitors to reduce their positions. However, if you have never screwed up the PF, and all this is the work of your competitors, then over time the site restores its position.

As for the manual cheating, here all actions perform living people. They get tasks, for example, go to the site on a specific search query, which is located on 20 positions and stay on it 3-4 minutes, making transitions through several internal positions. Many people think that the manual method of search engines cannot determine. But in fact, it is enough to drive dubious IP to the base, which are actively moving through the sites of different topics, and the scheme is calculated. Most often, the user visits the same sites within a month, and, of course, such activity will cause suspicion of search engines. Against the background of boom behavioral factors, Yandex will also soon learn how to calculate such a manual cheating.

What are the creators of website promotion services offered by the site owners using the optimization of behavioral factors?

The essence of this method is as follows:

  • Your site comes with users who like it. It sounds, of course, funny. As a person who never happened on your site, can you know what he likes him? In fact, it is easy to determine. A huge number of LF requests is prepared, and periods are carried out.
  • People who are interested in these requests will definitely find on your site what they are interested in (if, of course, you write high-quality texts). Statistics services analyze those who came along these low-frequency keys, looks at which of them gave the maximum effect.
  • Based on the data obtained, the service determines which indicators are optimal for your resource. Surely you know that too long has been on the resource, a large number of views are not always good indicators of PF. The user who enters the request "What a number today" will not be on your resource for 7 minutes and actively move between pages, reading articles for 3-5 thousand characters. He is enough to see the information providing the answer to his question. After he learned her, most likely the site will be closed. In such a plan, the minimum time is the time, the rapid receipt of the answer to the question affects the more positive.
  • The service allows you to analyze the benefit of your LF requests, and each month adjusts their list. So, only the most profitable for your resource remain. As a result, the site naturally increases its position.

Optimization of behavioral factors: important questions:

  • For that banyat? For such traffic, you will not be able to get a filter, because there is no artificiality here. Your resource is evaluated by real people, and you do not pay for them to go to it and "acclated". As a result, there is a natural growth of positions.
  • Why transitions on LF requests? Because it is cheap traffic. No high price, no competition. Yes, and the indicators of behavioral factors in the LF requests are quite stable.
  • How long to wait for the results? As practice shows, everything starts after the first month. The most serious effect is traced in 5-6 months. Let it longer than the cheating, but you do not risk your positions.
  • Is such a way of cheating sit? Today, behavioral factors are taken into account almost as external optimization. This method is equally suitable for both "young" sites and those created for a long time.

PF optimization is effective in promotion, subject to the following sites for the site:

  • in the Google and Yandex index should be at least 50 pages;
  • the site must have a meter "Yandex. Metric "so that the search robot noticed the visitor;
  • provide access to Yandex.Metric and Google Analytics so that the Rookee service can track and analyze the behavior of visitors on the site.

Attention! ROOKEE service on the background "Links" is also developing and offers a new service. Here is an innovation from the Exchange, which previously sold temporary links. In addition, it offers audits and SEO-optimized texts. In contrast to other services, they offer not just a cheat, but prefer natural advancement.

Hello everyone! Today we will talk about optimizing behavioral factors, the new Rookee service and learn how to use automated promotion in your work. Times are changing, you need to be in the trend and apply new chips, just this will be discussed today.

Let's start with the main one. Why do you even do, and what can we give it? The answer to this question is very simple. You get higher positions in search results, which means more customers and accordingly more profits.

But at present, search engines drastically change their algorithms and high-quality texts not enough to promote. And the links should be treated with great attentiveness.

And here you need to apply more advanced ways. And one of these ways is the automated promotion from the service, which allows us to automatically optimize behavioral factors. The most important thing is that this system does not contradict the rules of search engines. There are no cheating there, there are no people and robots that perform certain tasks, everything happens naturally. Improving behavioral factors occurs through the attraction of targeted traffic for the promoted site.

How does the OPF technology work

The OPF technology consists in attracting targeted traffic on a progressable resource on low-frequency requests that have the best behavioral indicators. All this is achieved by connecting the ROOKEE service to the analytics system (Google Analytics or Yandex.Metric) of the site, thus identify the necessary LF requests.

Within the framework of this technology, the hardware will identify and promote the most effective requests. The OPF technology can attract good targeted traffic, as well as show search engines an increase in such indicators as the average time on the site and the depth of viewing. To do this, Yandex.Metrica must be installed on the site.

Immediately after connecting this service, the system starts a detailed analysis of the site and determines the behavior of visitors. Further, based on the data obtained, a list of necessary key queries is generated and promotion begins on these requests. You can download an example of requests that select the system in automatic mode.

For our part, I want to try out this system on my blog. Because I see here quite great potential. Everything is done almost naturally and in theory should give positive results.

Here is such a new technology that is already available for anyone. Engage in promoting their sites and get new target visitors and of course maximum profit. On this, everything is always waiting for your questions and comments on this article.

Sincerely, Evgeny Vergus.


Optimization of behavioral ranking factors

The desire of search engine developers to make the issuance of the most useful for users is quite understandable, since this is their direct task. But it is obvious that for this, algorithms that use only dry digits for rankings are not suitable. Therefore, search engines besides the quality of content and incoming links began to look closely for user behavior.

How do search engines work with behavioral factors? What way "Yandex" spies for users and finds out their preferences? The first thing that takes into account the search engine is in extradition. If three times more users choose the eighth result in what everyone else, then it is a direct hint that he is more relevant inquiry. Therefore, the search engine can raise such a result to the position higher, despite all the merits of other sites in the form of references and other factors.

Also "Yandex" actively uses its services - mainly the system of statistics "Yandex.Metrica". It gives a huge amount of data that give signals to assess user relationship to pages. For example, already the time of stay on a particular page can say a lot - it is obvious that the pages from which users immediately go to them are less than those on which they are delayed for a long time.

In addition, there is grounds to believe that the superstructure for Yandex.bar is used to collect information about users' behavior. Officially, this fact is not confirmed, but according to many experts, such "espionage" has a place to be.

Methods for accounting behavioral factors And as the owner of the site to evaluate to understand which way it is necessary to improve your own resource? This will suit one of the tools that use the search engines themselves - the statistical systems. Consider how they work on an example familiar to each optimizer Yandex.metric.

In this service there is a special tab "Behavior", where you can follow the actions of visitors in video format using a webmist.


Yandex.Metrica gives us the following important information:
Ways to improve behavioral factors Optimization of behavioral factors logically start from the first interaction of users with your site - from the appearance of the reference to the search engine, that is, with a snippet. We already wrote about this in detail in, and on our channel seopult.tv you can watch the video of the report of Alexander Skubin, the manual of two search services "Yandex", on the principles of the formation of snippets.

So, to create an attractive snippet for users, it is necessary to understand how the principles of the search engine forms it. If earlier for snippeet "Yandex" took the text from the contents of Title and Description, now the basis can serve any fragment of text with a keyword. If the search engine chose an unsuccessful phrase, you can try to remake it in the text without changing the total number of keywords.

If the subject of your site allows you to use semantic marking, then it is necessary to use it - with the proper use of Schema.org Standard, you are guaranteed a great snippet. Read more about Microdata you can read in

Try to make the traffic be more diverse. Use social networks, forums, blogs. Let the proportion of transitions from these sources be small, but thus traffic will become more heterogeneous, and therefore more natural.

To hold a user on the site, in addition to the publication of an interesting and informative, it is necessary to include a mixture and use a creative approach. Everything can be appropriate here - from design chips to useful services. As an example, you can bring a tire calculator for selecting wheels on the sites for the sale of wheels or the CAT Calculation Program for tuning lovers. Successful solutions often fall into user bookmarks.


To keep the user longer on the page can help an interesting video or even a small flash game.

Also, the plus there will be an exposure of links in the text to other pages in those places where they are really needed for the convenience of visitors (do not forget about - such links should not harm it!). Blocks with similar records or goods will also help to force the user a little your site, and this is another coin into a piggy bank of the optimization of behavioral factors.

In modern search promotion increased markedly. Now the search engines carefully assess the satisfaction of their users when they visit recommended sites from issuing. Therefore, the optimization of these factors is an important element of a successful SEO-promotion.

How to optimize behavioral factors in RuNet

Well, if the specialist is engaged in issues of optimization of behavioral factors (OPF). He knows perfectly well what it should be and work on the site to meet the needs of visitors.

Another thing if the site owner does not use the ability of a specialist for some reasons. But the optimization of the PF for its resource plans to do. In this case, there is an option of an automated OPF system.

Cheating behavioral factors

Until the summer of 2014, all options for such optimization were implemented in the following ways:

Automatic option. Connecting the usual botnet and nimble robots come to the promotable site. Thus, as it were, they show the search engine that the resource is interested in (there are transitions to pages).

But as practice has shown, such a "parsley" is very simply rejected by search engines. They see perfectly with which IP, for which behavioral parameters such linden "visitors" go. And therefore their actions on the site are not counted.

Manual option. In this case, people walk instead of robots. For a fee, they regularly visit the sites specified by them according to a specific scheme. For example, knowing the address of the progressary site, come from search results and perform a number of actions - sit on a page for a few minutes, click on internal links, roam the resource pages.

It seems like this option is not bad. But here the search engines can distinguish the catch. For example, IP performers are rapidly falling, which from one computer goes to sites of different subjects. Usually it does not happen in life - real people have a narrow circle of interest. And to look for narrow-controlled thematic pseudo-plants.

A unique way to improve PF

In the spring (in April) of this year there was another option to optimize behavioral factors. And it is based on a completely different way to receive visitors. This time really thematic, not attracted by ears.

Invented this method known in RuNet SEO-aggregator Rookee. This system conducts a number of activities to improve behavioral factors (refusal indicator, time spent on the site, re-visits, etc.).

The most important thing is that these events do not contradict the rules of search engines. That is, on the one hand, it is impossible to get under the filter for the cheating of the PF on them. On the other hand, according to the statistics carried out in the rookee experiments, there is an improvement in the positions of sites in the issuance due to the optimization of the factors themselves.

And another not a unavailable moment, which will be appreciated by the owners who are poorly dealt with SEO - to start this system you need to press only one button. 🙂

So, what did offered the automated users?

Optimization of behavioral factors "Hands"

Definition of the OPF system

The task of the OPF service in the SEO-aggregator Rookee is to obtain the thematic audience on the appropriate low-frequency requests. Such requests have the best behavioral indicators, as they are more adequate on topics than medium or high-frequency requests.

For such requests, the Rookee service uses the web analytics of the promoted site. Access to the web analytics installed on the resource system (Metric Yandex, Google Analytics), from which the selection of the desired keywords is selected.

The principle of selection of requests is as follows:

  • suitable search phrases are located in the top 10 by the region, which is selected for promotion;
  • the selected keywords have a sufficiently low level of competition (according to ROOKEE);
  • these search queries have good behavioral indicators (according to web analytics).

By the way, this technology uses the capabilities of a well-known long-tail principle. There is also the smallest search phrases for which the conversion can be the biggest.

How does the OPF system work

Once the OPF service is ordered and the only button is already pressed, the rookee service launches the following procedure:

  1. The system is looking to the analytics provided. At this stage, its task is to analyze the contents of the site and the behavioral assessment of its visitors.
  2. The semantic kernel is formed, which will include selected search queries according to web analytics (according to estimating behavioral characteristics of phrases).
  3. Rookee performs its main job - website promotion at the request of the semantic kernel obtained. This happens by coping with references from resources similar subjects.

After the optimization of behavioral factors has been launched, Rookee performs a periodic function of monitoring transitions on requests. Depending on the data obtained, the system optimizes its selected query list:

  • there is a replacement strategy for promoting those requests that do not yet work;
  • the phrases-pacifiers are removed, which do not give transitions from the search (but are in the top);
  • new search queries are added according to the requested web analytics.

As a result, it is fully implemented for 2-4 months depending on the data of the progressable site.

What sites can get the OPF service from Rookee?

To connect this strategy, the site must satisfy the following conditions:

  • the number of indexed pages in Yandex and Google should be at least 50;
  • the progressable site must have a connected analytics system (metric, Analytics);
  • content site should not violate the requirements of the laws of the Russian Federation.

Question price

The cost of this service is calculated individually in its special formula. The price depends on the characteristics of the site, on its subject, and other factors.

To find out, you just need to connect this service. The cost will immediately be determined and will be shown on the screen:

I note that the exhibited value is the ultimate package of work on optimizing behavioral factors. That is, over time, the number of requests may increase, but you will no longer need to pay for the new transitions found.

Conclusions on Usulge OPF

The service for promotion by strengthening behavioral factors is already running six months. In my opinion it can be used to promote your site for the following reasons:

  • The service does not use the option of cheating of behavioral factors due to the "left" transitions. So get a wolf ticket from Yandex will not work.
  • Due to competently selected queries, it is possible to significantly expand the anchorage list. All this happens on the machine - the owner of the site does not need to do anything.
  • Due to the enhancement of behavioral factors, not only the positions of the site in the search for extradition are growing. It increases its trust (extension of reference mass).
  • I pressed the button and got the result - an excellent option for busy people. Of course, a specialist in the purchase of links would make it better. But also more expensive.

And last. Of course, this method involves all the same automated procurement of links. But it differs from the options that are offered by other SEO aggregators. After all, at the expense of correctly chosen LF requests, good anchorage are formed.

This gives a significant increase in the likelihood of the links on the links to a promotable site, which gives strengthening positions. After all, Yandex and Google take into account only those links for which people click. And in no way differently.

And one more point - this method only works for those sites that contain really useful content. Otherwise, when moving on the links, the PF will only worsen.

Sincerely, your Maxim Dovzhenko

Some yandex ranks have been published in the Yandex CIKM2013 report

  • QueryDomctr - the average value of CTR of all domain documents on this request
  • QueryurlCTR is the average value of the CTR of a specific document on this request.
  • QDwellTimeDev is a standard deviation (deviation) from the average time of stay on the document on request.
  • QDWellTime is the average visitor stay on the document on request.
  • AvsatSteps - the average number of satisfied steps on the site. Satisfied step - the transition by internal link after 30 seconds of stay on the document.
  • AVDWellTime - the overall average of the visitor's stay on a document by different search queries.
  • DwellTimeDev is a standard deviation (deviation) of stay on the site.
  • 90thdwelltime is the top decile, he is the 90th Persentil of the average stay on the site.
  • 10thdwelltime is the lower deceor of the average stay on the site.
  • Timeondomain - Total time staying on the site. On all requests of any documents.
  • CumulativeDev - Standard deviation (deviation) from average stay on the site

Let's try to figure out what the search engines in the analysis of the behavioral factor are considering.

  • in his personal extradition - click patcore;
  • on ranked resources - Post Clico factors.

CTR is the ratio of users' transitions to a specific resource to the number of views of the information provided by the Client in the search results. This information consists of title, snippet and URL. There must be than this number above, the more interesting is the resource and, accordingly, it should stand above in search results. However, there can not be all simple, as sites that occupy the first places in the top will constantly have a higher CTR figure.

Perhaps this behavioral factor may lead to the fact that many resources with a Thaletl will disappear from Top, snippet. Probably, the methods of increasing this indicator will be the same for all resources without exception.

How can I improve behavioral factors in search results?

Factors that affect CTR are as follows:

  • The presence of an interesting title. He must simultaneously and lure the reader, encouraging it to go to this page of the site, and at the same time keep keywords. Accordingly, to enhance behavioral factors on the site. Look at the title prescribed by you from the point of view of a simple user. Would you like to click on this link?
  • Permanent work on snippets, looking for methods of influence on their content.
  • CNC settings. They must highlight keywords that are present in the URL of the site page. Some experts are confident that this method helps to improve behavioral factors about five percent.

It is believed that search engines take into account such an action of the user as returning back to the issuance of search engines after switching to a specific resource page. Perhaps in the complex with other indicators this suggests that a specific site is uninteresting for a visitor. So, after some time after constant user returns for search results, this resource will be reduced in the top. However, do not forget that all behavioral factors are taken into account in the complex.

Similar actions of the site visitor can be provoked by the fact that this resource is optimized for a certain request, for example, by purchasing links. However, the essence of the required question (query) on the boundary page of the resource was not disclosed or disclosed enough. It is important that the search query will accurately respond to content on the site of the site, to which he leads the user, that is, was the maximum targeted. Otherwise, as a result of the analysis of PF such a website at a certain point, it will still be thrown out of the Top of the search results due to requests that do not apply to the content of the site page on which they led the visitor.

Simple words: improving behavioral factors on your site begins with a detailed page study. Does she match the request? Will the user find what he was looking for?

How does search engines analyze user behavior and what do you pay attention to?

Naturally, Yandex search engines and Google with their personal search issuance can take all the information necessary for them regarding the behavioral factor of visitors. However, on user projects, their capabilities are somewhat limited. But their search bots are successfully coped with this task, so we do not have anything as soon as you assume how they manage it.

So, how do search engines analyze user behavior on a specific resource?

    The metric counters that Yandex provides are quite extensive and useful features. In addition, they are free, which is very pleased and attracts. I wonder why Yandex is so generous? Perhaps because when installing counters to any site, Yandex has the ability to get the information you need to rank this site, based on the behavioral factors of the user? Well, the statement is quite justified!

    Also, continuing the logical chain of thoughts, you can come to the conclusion that some applications are possible for the best browsers, as a bar (elements) for Mazils from Yandex, Google Panel, Opera and Chrome, and Tulbar Alexa can collect data on how visitors behave that use these applications on sites.

    Also on the network there are various free services (in large quantities), which represent attendance counters, moreover. But why do they do it? What will they benefit from the fact that someone will set these counters to their resource? Is it possible to reflue? However, it looks too simple, therefore, probably there is something else. It's no secret that if one player of the Internet has something that is required to other, then they will definitely find a common language. Therefore, go on ...

There is a hypothesis that the LiveInternet (Li) Counters (Li) merge data on attendance of Yandex Rambler Top 100 resources. If you take into account that Rambler is currently used to search for a Yandex engine, then it is possible to fully assume that they are tightly collaborating in the field of accounting Weactment of user factors when ranking. How to improve behavioral factors on the site? Delete all meters! Joke.

Of course, a lot of things can come up with and justify, but this is also enough to understand what user behavior on any site for Yandex and Google cannot be secret to a certain extent.

Not all network users are members of Yandex, receiving a monetary remuneration for evaluating a specific resource in many parameters. Since they do not pay for it, Yandex needs to decide how to understand the actions of visitors using all its strength and the unique logic of programmer's thought. In addition, the same user behavior in different cases can be interpreted in different ways - which in one case is good, in the other may be bad.

What behavioral factor can be taken into account by search engines?

  1. Probably such factors just do not consider. But the most worthwhile attention is the characteristic - the number of percent failures. The failure rate is the ratio of sessions with a single depth when the entry point is similar to the output point. Everything is simple: you want to watch the increase in behavioral factors - do everything so that the user does not give up the page.
  2. Perhaps the PF also also affects the session time, that is, the time that the user spends on a certain resource. It is counted until the browser is closed either before the opening of pages is more than half an hour.
  3. Attendance depth should also be taken into account. Attendance depth depends on the number of pages viewed by the user for one visit.
  4. Also search engines may take into account the volume of traffic, as well as its sources on a certain resource. Thus, the robot will fix the improvement in behavioral factors on the site if visitors will come to a certain resource not only with search results, but also with social networks, bookmarks in the browser.

Regarding the last item of issues does not arise, but the first three seems ambiguous. So, the duration of the user's session, for example, in the online store for the delivery of pizza to order can be rather short, and the failure rate will be close to 100%. That is, the user went to the site page and immediately came out, since the phone where the pizza can be ordered is written on the first page. The visitor saw him, recorded and immediately gone to call. However, the website-shop promoted, has many visitors and is great ranked in Yandex.

Take as an example news portal or blog. As a rule, this resource for the visitor is a little interest, so the site has a large percentage of failures, which can deprive it of a large number of traffic from the issuance of search engines.

Therefore, it can be assumed that for the online store selling pizza with delivery, a low failure rate will be regarded by search engines as a bad behavioral factor, as users who want to order a pizza are looking for a very long time for the desired phone number on the site. In this case, the position of this site will be slightly omitted down in the issuance of search engines. However, it is unlikely that such a solution will be made based on the characteristics of only one indicator. A combination of all factors should be taken into account.

Therefore, the improvement of the behavioral factors of the website of the online store or food delivery is to start with the analysis of the resource itself: if the phone is visible, is there any description under the picture, whether the purchase conditions are listed on the page and so on. Just imagine that you are a buyer and look at your site with his eyes.