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Advanced search reporting (asr), Scenarios using advanced search reports, Search – Google Search Appliance User Experience Guide User Manual

Page 22: Reports, Logs

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Search reports

Search reports remain available for one year from the creation date. You can create up to 500 reports
across all collections.


Search logs

You cannot generate search log reports for time periods more than 90 days in the past. If you need to
analyze log data for longer time periods, generate reports at least once every 90 days, then export and
store the reports. You can then analyze the aggregated reports, which were collected over longer time
periods. Alternatively, you can set up a syslog server to collect and store raw search log data as it is
generated.

Advanced Search Reporting (ASR)

The Google Search Appliance provides an analytics feature, advanced search reporting (ASR), that
captures detailed information about user search and navigation activity. ASR is not enabled by default but
can be activated easily through the search appliance’s web-based Admin Console. Analytical information
can then be extracted from the search appliance and consumed into your existing analytical tool.

You can use these reports to analyze data such as:

● Searches

being executed

● Number

of results returned

How

many

pages a user clicked through

Which

result

on the page they clicked on and where they went

Whatever your solution, Google highly recommends that you provide a rich analytics capability, regularly
examine the data to refine your search deployment, and identify ways to add additional value.

For information about advanced search reporting, see

Gathering Information about the Search

Experience

.

Scenarios using Advanced Search Reports

The following scenarios describe situations where using advanced search reporting can enhance the user
experience:

Using

core capabilities to help users find content more efficiently

Demonstrating

ROI and quantifying business value

Understanding what content is important


Using core capabilities to help users find content more efficiently

In this scenario, user feedback is consistently positive and users are able to find the content they are
looking for. They report that they spend substantially less time searching for results.

However, after examining your users’ search behavior by using an ASR report, you notice that 90% of
searches for “widget” are immediately followed by a second search for “gadget.” Similarly 50% of users
searching for “vacation” click on the fifth link—to your policy database.