How to Evaluate and Improve Behavioral Factors
In the fall of 2020, there were reports that Yandex had launched a new filter that lowers the rankings of sites that artificially increase behavioral factors (BF). Around the same time, SEO specialists noticed that
Yandex had resumed “public floggings”
For such cheating. There are no official confirmations or denials of the increased importance of BF yet, but we recommend that site owners pay attention to how users behave on your site.
You will find the theoretical middle east mobile number list basis on this topic in the article “How to improve the behavioral factors of a site without fear and reproach” . Here we will consider the main parameters, the analysis of which will help you understand the situation with the PF of the site.
Indicators in Yandex.Metrica
In this article, we will show web analytics data using Metrica as an example, because in the Yandex search algorithm formula, PFs have significantly more weight than in the Google formula. By the way, this is why cheating behavioral factors in Yandex will lead to more dramatic consequences than in
Google. Accordingly, if you completely abandon PF, this can drop the site’s position in Yandex what is project management? here’s the explanation! search results, but will have almost no effect on Google ranking.
If you’re closer to Google Analytics, you can find similar metrics there.
The most reliable characteristics are numbers, so let’s start with them.
Total Page Traffic
Regular traffic is also taken ar numbers into account: after all, if a page attracts a lot of visitors, some statistics on behavior on it can also be collected. It is also worth starting with traffic for two reasons:
the higher the traffic, the more attention from search engines;
For pages with low traffic, the sample of PF data will not be representative: if few people viewed the page, then it will be difficult to identify common features and conduct a full assessment of behavioral factors.
