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SEO and Performance: Bounce and web positioning
Years ago, the discussion arose about how Google could be evaluating the quality of the results it provides to users. One of the criteria that began to gain relevance and is now almost universally accept as a factor us by the search engine is the bounce rate of web pages in its results.
What were once “quasi-conspiracy” theories about
Fe its ranking algorithms have become reality as details of the antitrust lawsuit Google is involv in before the Supreme Court of the Unit States ios database have been leak. Specifically, the eyes of all SEOs have been focus on “Navboost”, a model for recording user data and ranking with a great impact on final ranking.
Which we will also discuss later, but let’s get to the point:
Table of Contents
What is rebound?
How does Google Search measure bounce?
Evidence that Google Search however, there is an increasing demand measures bounce
Google uses bounce rate as a ranking factor
Navboost: Clicks as a ranking factor
What should we do to improve our bounce rate in Google Search?
In conclusion What is rebound?
The main problem is that the definition of bounce is technically ambiguous. A bounce is a user who enters a site that they do not want to enter and therefore quickly leaves it. The allegory is clear, the user does not enter our website but instead, upon entering, they bounce back out. Although what it should mean is clear, when it comes to how to tg data measure it technically, there is no standard to follow and each tool measures it as it can or simply as it feels like.
So some tools take just one pageview
others take a few seconds, others like Omniture don’t consider bounce as a default metric, and others like SeeVolution avoid talking about bounce by indicating new metrics (bounc/non-bounc by different criteria) with other names.