If you can provide your users with the best experience, this will naturally lead to positive rankings in search results. Google’s commitment to providing users with the best possible results has l to the development and implementation of new algorithms that determine which sites should dominate search results for any given query.
NavBoost is at the center of user satisfaction
It analyzes user behavior (mostly bas on clicks, data blocks are stor and analyz throughout the year to account for seasonal fluctuations) and helps spam number data to rationally increase or decrease the rating of a particular site. How Navboost Relates to UX Google Navboost Navboost first came to light during the Google antitrust case. The system’s public disclosure spark interest and speculation among SEOs about its potential impact. But then there were crumbs.
Grains It was only after
The Google Content Warehouse API leak that we got a better idea of the role of NavBoost. Note that NavBoost metrics are most dependent on UX: “Good” clicks – “good” clicks are those that indicate user satisfaction. In other words: those that the first step: friends can come in – strong incentives, many entrances, rapid increase in fans, and efficient customer acquisition lead to some kind of natural and target action. For example, a purchase. “Bad” clicks – “bad” clicks are those that, on the contrary, indicate dissatisfaction. For example: a quick (a few seconds) return to search results because the site was unable to solve the user’s problem.
Longest clicks – This metric identifies
The page where users spend the most time during a single session. These URLs provide the most value – they usually contain relevant bulk lead content. By the way, the relationship between click data and user satisfaction directly correlates with the EEAT system (Experience, Expertise, Authority and Trustworthiness factor). Navboost and EEAT By favoring sites that provide good UX, Navboost indirectly helps increase trust, a key component of EEAT.