taciva4836@fahi 發表於 2024-2-17 13:02:00

It’s an averaged metric that needs heavy

Segmenting and filtering to gain valuable insights. There’s no “good” bounce rate benchmark. It all depends on your niche, type of page, traffic source, and user intent. Learn more: What Is Bounce Rate? How to Interpret and Work with It 2. Exit rate Exit rate shows the percentage of sessions that ended on a particular page. Some people in SEO like to track top exit pages for organic traffic in a report like this: But high exit rates don’t mean that there’s something wrong with the page. It can actually mean quite the opposite—the user got what they were looking for and left the page satisfied with a good impression of your brand and/or product. They could have viewed many other pages before or even made some conversions. You’d need to dig deep into other related metrics or check user recordings to get any potentially valuable insights from it. I prefer mostly ignoring it and focusing on the more important stuff. 3.

Pages per session Similar to exit rate, you can encounter tips to optimize your user experience Andorra Email List based on a low pages per session number. In terms of SEO, that would be from your organic traffic source segment: So again, what’s a good number of pages per session? Does 4.30 in the screenshot above mean that your organic traffic visitors are less engaged than those coming from paid traffic with 6.10? What should the specific action for improvement be anyway? GA data won’t tell you that. There are just too many variables at play that make this metric unreliable to work with. 4. Avg. session duration / time on page These metrics should also indicate how engaged your visitors are by providing time metrics.

http://zh-cn.usaperson.club/wp-content/uploads/2024/02/Afghanistan-Email-List-2-300x169.png

The biggest problem is how these time-based metrics are calculated. Google Analytics collects timestamps when a user clicks through pages or triggers events. It then calculates the session duration by taking the timestamp of you first visiting the website and the last timestamp during the session. Time on page is the difference between loading one page and then clicking on another. This means that any bounced session has both 0s time on page and session duration because the GA server only has the first timestamp when you loaded the website. I’d provide more reasons not to use this metric by applying the logic I used before. But given that bounced sessions occur so often, this already makes the time-based metrics useless.

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