Filtering data according to which pages a visit included allows you to set up very detailed navigation scenarios, and find out how many users abandoned your scenario along the way.
Page visits lets you set up criteria that users must have fulfilled in order to have their data displayed.
Criteria to find a page
Pages can be located in three different ways:
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URL Match: A match on part or all of the URL string (e.g. typing in "http://www.yoursite.com/onlineforms/questionnaire.aspx" matches a single page that contains a questionnaire form on your site).
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Title Match: A match on part or all of the page title (e.g. typing in "Questionnaire confirmation" matches a single page that contains a confirmation message that the questionnaire mentioned previously has been completed successfully.)
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Path Match: A match on part or all of a page Path (e.g. typing in "Products > FAQ >" matches all pages that are within the FAQ section for your products.)
How is this applied in practice?
Imagine that your site contains a three-part questionnaire which, if completed and submitted correctly, will return a confirmation page. You want to find out how many of your users started filling out the questionnaire, but never completed it.
This can be achieved by creating three filters, and running a report comparing data for filter 1, 2, 3 and 4.
- Filter 1: A filter that contains a single page visit match: The questionnaire’s first part.
- Filter 2: A filter that contains two page visit matches: The questionnaire’s first and second parts.
- Filter 3: A filter that contains three page visit matches: The questionnaire’s first, second and third parts.
- Filter 4: A filter that contains four page visit matches: The questionnaire’s first, second and third parts, and the confirmation page.
Using the Reports module of SiteAnalyze, you are able to compare data with filters 1-4 applied, detailing how many users abandoned your questionnaire, and when in the process they abandoned it.
With this knowledge, you are able to make decisions on whether to make changes to the questionnaire to improve the completion rate, and you get a firm indication of where to make improvements: the page with the greatest abandonment.