It is related to whether visitors reach other pages from the sub-page they access from search engines and how many sub-pages they visit. If it only stays on the page it entered and then exits without browsing your site, this means that the rate will be high. This is a valuable metric for Google. Google evaluates user interaction, which is evaluated alone and with other metrics, based on these values. Google defines a bounce as a single-page session. So, the bounce rate formula that Google Analytics uses is the number of single-page sessions divided by total sessions, or simply calculated by the formula Bounce / SESSION = Bounce RATE .
How to find out the bounce
Rate on your website? Now that you know what bounce rate actually is, I will explain it to you in the next step where you can read this value in the next step. To do this, you need to look at your website’s Google Analytics data. In addition to bounce rate, Google Analytics also Oman WhatsApp Number Data provides other exciting metrics to help you interpret user behavior. To go into this in detail would unfortunately be beyond the scope at this point. It can be easily learned via Google Analytics. To do this, follow these steps: Google Analytics > “Behavior” > “Site Content” > “Site Content” and then you can view the page on which you want to know from low to high or high to low.
Is bounce rate important?
Bounce rate is an important metric. It is very important to evaluate user interaction and indicate that there may be. A problem with your tracking setup. But it is also an overrated and often misused metric. What is dwell time? It means waiting time. It means how long the user. Stays on the Argentina WhatsApp Number List site after clicking on the site in google search results. Its difference from. The average session duration is that it refers to the time it takes. Between finding and clicking on the site from google search results and returning to google serp (search) results. Just like bounce rate, number of pages browsed. On the site and waiting times, it would be logical to evaluate several metrics together rather than evaluating them alone.
