What is Bounce Rate? SISTRIX
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Source: https://support.google.com/analytics/answer/2525491 The bounce rate of page A is 50%. This is because Analytics only looks at Monday and Wednesday, as these are the instances in which page A was the first page on the site that the user accessed. On Wednesday, no other page on the domain was accessed. Two entries on page A and one exit gives us a 50% bounce rate for page A.
The bounce registered by your actions would actually serve as a signal that you may have found the answer to the question that brought you to the search engine. This would then also serve the ‘Needs Met’ factor from the Google Quality Rater Guidelines as ‘Fully Met’. On this basis, it makes perfect sense that Google does not use this value as a ranking factor. For webmasters, however, the bounce rate can serve as a very useful performance indicator.
What is Bounce Rate
From: SISTRIX Team Steve Paine 22.02.2022 SEO KPIs Can I visually compare the Visibility Index to other KPIs? What is CPM - Cost Per Mille? What is Net Popularity? What is Link Popularity? What is IP Popularity? What is Inverse Document Frequency - IDF? What is Domain Popularity? What is CTR - Click-Through-Rate? What is CPO - Cost per Order? What is CPA - Cost per Action? How to identify and use a SEO KPI, a performance indicator What is Bounce Rate What is an operative SEO Indicator System? What is an indicator system? What is an impression? What is a financial SEO indicator system? What does conversion mean? Ranking Distribution: One of the Most Important SEO Metrics What is the dwell time or time on site? Back to overviewThe bounce rate tells you how often users leave the website without having visited more than one subpage. These bounces are often viewed as bad, because they indicate that the website did not manage to interest the visitor enough for them to continue browsing the site.ContentsContentsIs the bounce rate a ranking factor What does Google mean by noisy What is a good bounce rate What are the benefits of the bounce rate Bounce rate for a specific target groupSpecific term explainedWhat are the disadvantages of bounce rate What is the difference between bounce rate and exit rate Conclusion Bounce rate is a category that is measured in web analytics applications such as Google Analytics. This enables website operators to see what percentage of visitors bounce from their site, i.e. do not visit any other pages after visiting their site. The bounce rate calculates the proportion of visitors who, after accessing a website via a subpage, leave the domain after viewing this page. The bounce rate is not to be confused with the exit rate. In online marketing, a low bounce rate is generally seen as a hallmark of a good site, as it is assumed that a visitor who delves deeper into a website is interested in that site’s content. In addition, many believe that Google uses bounce rate as a ranking factor. Google provides the following example to illustrate how this works:Monday: Page A > Page B > Page CTuesday: Page B > Page A > Page CWednesday: Page A > ExitSource: https://support.google.com/analytics/answer/2525491 The bounce rate of page A is 50%. This is because Analytics only looks at Monday and Wednesday, as these are the instances in which page A was the first page on the site that the user accessed. On Wednesday, no other page on the domain was accessed. Two entries on page A and one exit gives us a 50% bounce rate for page A.
Is the bounce rate a ranking factor
The bounce rate is not a ranking signal! Various Google employees have commented on this several times over the years: “I’ll just say that bounce rates would be not only spammable but noisy.” Matt Cutts (ref. no longer available.) and Garry Illyes on Twitter:What does Google mean by noisy
When Matt Cutts talks about ‘noisy’ signals, he is talking about distortions of the data that make attempts to visualise and interpret that data very difficult. Google tries to look for signals that have a clear either/or structure and are situation-independent – for example, ‘having biscuits is good’ and ‘not having biscuits is bad’. This is an example of a distribution without a lot of noise, with two data clusters that are relatively easy to distinguish from one another: Data are noisy when well-defined areas are missing: Even if the data is clearly defined, it does not necessarily follow that the results serve as a good or meaningful indicator of wider trends. Let’s say that we can generally divide the background colour of web pages into two categories: light and dark. In this case, it is quite possible that one visitor has a preference for ‘light’, whilst another might prefer ‘dark’. This data would not be suitable for use as a general ranking factor. As a rule, you want visitors to click deeper into your site. This is a legitimate aim, and, for many types of pages, it is exactly what you would want as an SEO. The bounce rate is therefore a good indicator of how specific pages are performing. However, there are perfectly good reasons to expect a very high bounce rate on a page. Whilst this may sound paradoxical, bounce rate can be used to determine whether users are getting exactly what they were looking for. Imagine that you want to visit a museum at the weekend and look online for the opening hours. You find the page in the search results and it is structured in such a way that you can find the opening hours directly. You can, of course, continue to click through the museum website and look at pictures of the exhibits, but you can also just close the browser and go to the museum.The bounce registered by your actions would actually serve as a signal that you may have found the answer to the question that brought you to the search engine. This would then also serve the ‘Needs Met’ factor from the Google Quality Rater Guidelines as ‘Fully Met’. On this basis, it makes perfect sense that Google does not use this value as a ranking factor. For webmasters, however, the bounce rate can serve as a very useful performance indicator.