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tedster - 12:07 pm on Jun 25, 2012 (gmt 0)
[edited by: tedster at 12:54 pm (utc) on Jun 25, 2012]
There is a difference between "exit rate" and "bounce rate" that is important for discussing this idea. Key points:
Here are some examples from Google that should help clarify:
Now let's extend this example to explore the Exit rate and Bounce rate
metrics for a series of single-session days on your site.
Monday: Page B > Page A > Page C
Tuesday: Page B > Exit
Wednesday: Page A > Page C > Page B
Thursday: Page C > Exit
Friday: Page B > Page C > Page A
The % Exit and Bounce rate calculations are:
Exit Rate:
Page A: 33% (only 3 of 5 sessions included Page A)
Page B: 50% (only 4 of 5 sessions included Page B)
Page C: 50% (only 4 of 5 sessions included Page C)
Bounce Rate:
Page A: 0% (no sessions began with Page A, so it has no bounce rate)
Page B: 33% (bounce rate is higher than exit rate, because 3 sessions started with Page B, with one leading to a bounce)
Page C: 100% (one session started with Page C, and it lead to a bounce)
[support.google.com...]
My own feeling is that Exit Rate (measured from user data, not Google Analytics) is very likely one of the metrics in the Panda formula - and in some cases it might be a big one. It's certainly worthwhile to understand pages with a high exit rate, as well as the most common Exit Page on your site, whether their "rate" is high or not.
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