Identifying Content Gaps

You can analyze the queries and keywords entered by users to identify the top occurrences with no results, no clicks, too many clicks, or poor ranking of clicked content. This analysis ultimately helps to identify which queries do not return relevant results and from there, pinpoint potential content gaps, that is content that does not exist yet. Knowing the topics people are most searching for also helps prioritizing content creation.

Information in this topic refers to the out-of-the-box pre-configured explorers such as Content Gaps and the Summary dashboard that can be modified or deleted by a member with the required roles. Consequently, pre-configured explorers and the Summary dashboard may be missing or modified in your Coveo Cloud organization. You can recreate the out-of-the-box pre-configured explorers and the Summary dashboard (see Reset Templates and Creating Usage Analytics Dashboards).

To identify content gaps

Use one of the following methods:

  • Looking at the Content Gaps explorer:

    1. Access the administration console Content Caps explorer (in the navigation bar on the left, under Analytics, select Reports, and then in the Reports page, in the Name column, click Content Gaps).

    2. Investigate why each query or keyword with the highest Query Count value did not return results.

  • Looking at Queries Without Results:

    1. Access the administration console Summary dashboard (in the navigation bar on the left, under Analytics, select Reports, and then in the Reports page, in the Name column, click Summary).

    2. In the Content Gaps tab, look at the content of the Queries Without Results (Visits) list to identify most searched topics on which you should focus to improve content availability.

  • Looking at the Query Click-Through (%) metric:

    1. Access the administration console Search Relevance explorer (in the navigation bar on the left, under Analytics, select Reports, and then in the Reports page, in the Name column, click Search Relevance).

      By default, the Query Click-Through (%) metric is in the data table.

    2. Sort the table with descending Query Count metric values.

    3. Look at the top queries with lowest Query Click-Through (%) values to highlight topics for which there is potentially no or little content accessed by search interfaces users.

      • Typically, queries displaying optimal results have a Query Click-Through (%) ratio above 60%. Values under 40% should be investigated, particularly those with higher query counts (people are frequently searching using this query, but are not clicking anything).

      • Adding the Unique Visitor ID metric to the report can be helpful to determine whether the results were biased by one or two users with abnormal activity (for instance, same user submitting the same query many times).

      • Consider taking actions when queries with Query Click-Through (%) ratios are below 40% (create new content, fine-tune the ranking factors…).