We are talking about the so-called " user happiness

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" Is the user satisfied with the result of the work or not. Does it play a role in ranking? Yes, it does. How can statistics services evaluate this factor? The answer is obvious: no way. Let's move on, behavioral characteristics on the side of the serp . The so-called factor of clickability of the document in the search results.


Plays a role in the promotion of the site ? Well, now only fools will deny it. netherlands consumer email list Here not only semantic relevance is needed in the Title (entering keys), it is necessary that a beautiful snippet be formed so that the Title has some potential in terms of its advertising, appealing properties. We can go further on ranking factors, convincing you that budget assessment services cannot use all these things.


But let's do it a little differently. Let's imagine that budget assessment services (at least one of them) will develop algorithms that maximally reproduce search engine algorithms when taking ranking factors into account, are able to assess the budget (based on the market value of certain necessary works) and give recommendations for improvements. Got it? Okay, but here I have some bad news for you. Even in this case, the service will not be accurate, and the reason for this is the notorious machine learning based on assessors' assessments .