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Making Sense of Google Analytics Bounce Rates – NLC Internet Marketing Blog
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How do I set up goals and funnels for dynamically generated pages?
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- Head Match: If your URL is always the same for this step of your funnel, but is followed by unique session or user identifiers, use the Head Match filter and leave out the unique values.
For example, if the URL for a particular user is ‘www.example.com/checkout.cgi?page=1&id=9982251615′ but the ‘id’ varies for every other user, enter ‘www.example.com/checkout.cgi?page=1′ and select Head Match as your Match Type.
- Regular Expression Match: Uses regular expressions to match your URLs. This is useful when the stem, trailing parameters, or both can vary between users. For example, if a user could be coming from one of many subdomains, and your URLs use session identifiers, use regular expressions to define the constant element of your URL. For example, ‘page=1′ will match
’sports.example.com/checkout.cgi?page=1&id=002,’
as well as
‘fishing.example.com/checkout.cgi?page=1&language=fr&id=19.‘
- Head Match: If your URL is always the same for this step of your funnel, but is followed by unique session or user identifiers, use the Head Match filter and leave out the unique values.
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Bounce Rate vs. % Exit – Analytics Basics | Google Groups
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Hi Mike – you’re right in that Bounce % is a subset of Exit %.
Remember though that when you’re measuring Exit %, it’s a percentage
of all the visitors to that page who exit, whereas Bounce is only a
percentage of entries, so the baseline totals are very different.
Say I have 10 visits to a page, 4 of which are entries. 6 people exit,
including all 4 of the people who landed on that page. My bounce rate
would then be 100% , but my overall Exit is still only at 60% because
most of the visitors from other pages stayed on site. Hope I
understood your question – though I’m not sure this answer helped any!
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