Identifying Relevance Issues

You can perform search engine optimization (SEO) by analyzing the queries, keywords, and clicked items to identify the top occurrences with clicks on items that do not appear at the top of the search results list. Identifying items that are poorly ranked for frequent queries helps you focus on important relevance issues to fix.

Information in this topic refers to the out-of-the-box pre-configured explorers such as Search Relevance that can be modified or deleted by a member with the required privileges. Consequently, pre-configured explorers may be missing or modified in your Coveo Cloud organization. You can recreate the out-of-the-box pre-configured explorers (see Reset Templates).

To identify relevance issues

  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 Relevance Index and Average Click Rank metrics are shown in the data table.

  2. Sort the table with ascending Relevance Index metric values to highlight the most important relevance issues.

    Similarly, you can sort the table with descending Average Click Rank metric values to highlight cases where items were opened far in the list of search results. However, unlike the Relevance Index, the Average Click Rank metric does not take into account the frequency of the measured event. Consequently, events with highest Average Click Rank values (particularly those higher than 3), are sometimes for events that occurred only once or just a few times.

  3. Obtain more details on a query:

    1. In the table, bring the mouse pointer on a query with a low Relevance Index value that you would like to investigate.

    2. In the table cell, click the check mark icon (Icon-Check) that appears next to the query to automatically create a filter to drill down into this query.

      You want to look into more details relative to the picture quality query that has the lowest Relevance Index value.


      The filter appears on the top bar.


  4. In the table, add the Search Result (click) dimension to see which items were opened by visitors performing this query.

  5. Look at the items with the lowest Relevance Index values (particularly those lower than 0.50) with the following questions in mind:

    • Are the item titles good for this query?

    • Are titles misleading?

    • Should some of the keywords of the query be added to the item title or content?

  6. In the search interface, perform the query and look at the search results with the following questions in mind:

    • Does the ranking look good?

    • Are there any apparent issues with the item titles?

    • Are the search words emphasized in the item?

    • Are people using different keywords to search for this item?

  7. Consider using the following methods to improve ranking: