Reviewing User Visits With the Visit Browser

You can use the Visit Browser to search and browse search interface user visits. The Visit Browser can be used for various purposes such as validating an implementation from a quality assurance perspective or making sure that all events are logged properly.

The Visit Browser provides a way to first select visits that meet some criteria (e.g., visits in which a case deflection (action) happened), and then review the events in the order they occurred in each of those visits.

Set the Date Interval Over Which You Want to Review Search Usage Data

On the Visit Browser page, in the upper-right corner of the window, you can quickly go from the current selected date interval (last week, month…) to the previous period or next period by clicking the left Left-Arrow-Icon) and right Right-Arrow-Icon arrows respectively. Alternatively, you can click the box containing the actual date range to access the Report Period dialog, and then select the date range you want to review.

You can select a period that’s incomplete (e.g., the current month), in which case your date range selection will always include the latest available visits until the period ends (e.g., the first day of the following month).

You’re reviewing data per Month and want to see how visits are trending for the first two weeks of the current month, so you click the right arrow icon.

Add Filters to Narrow the Visits Down to Only Those You Want

There are more than one way to filter out irrelevant visits and keep only those you want to review. You can add inclusion filters, exclusion filters, or a combination of both inclusion and exclusion filters. When you only add exclusion filters, all visits are shown, except those containing an event that meets your criteria.

You want to investigate what users who never use the search bar do in their visits, so you exclude all visits containing a user query.

  1. (Optional) On the Visit Browser page, when you want to add exclusion filters, select the Exclude visits containing check box.

    You want to analyze user sessions containing a specific user query, but in which no support cases were created, so you select the check box to then be able to add the following filter:


  2. Click an event, and then select between four event categories (an event, a search event, a click event, or a custom event).

  3. Access the dialog to add global dimension filters by clicking Add filter Filter-Addition-Icon.


    Once created, the filter(s) appear(s) in the top bar under Show visits containing or Exclude visits containing, and only the user visits meeting your criteria appear.

    • You can add filters to apply on another event category by clicking And at least. The visits that appear will then match these two parameters.

      You want to browse user visits in which an item was opened and a case deflection occurred.


    • Under Show visits containing, when you add a filter with a negative operator (e.g., is not or doesn’t contain), the filter acts as an exclusion filter rather than an inclusion filter.

      You want to review visits that contains events of users that aren’t from New York with the following filter: an event where City is not New York. All visits from New York users will thus be excluded.

    • Once you’re done with the filters, you can bookmark the web page or copy/paste the URL in the place of your choice to be able to later access the same state of the Visit Browser.

    • You can add a named filter with the current filters on a line:

      1. At the right-end of the bar, click action Filter-Action-Icon, and then select Save filter as or Save filters as.

      2. In the Save as a Named Filter dialog, in the first input, enter a meaningful Filter name, and then click Save.

        The named filter is now applied to the user visits.

    • You can remove all the filters on a line, at the right-end of the row, by clicking action Filter-Action-Icon, and then selecting Remove filter or Remove all filters.

  4. When you want to discard events from remaining visits, select the Hide events check box, and then add global dimension filters by clicking Add filter Filter-Addition-Icon.

    You could want to focus solely on search events returning results to see, over a visit, whether users are clicking results. Therefore, you remove search events without results by adding the following filter: Has Results is False.

    Once created, the filter(s) appear(s) under Hide Events, and the events meeting your criteria are excluded.

    • If a visit has only one event and this event is filtered out, the visit will be hidden as well.

    • You can add alternative filters by clicking Or where. Events matching one of these filters will be hidden.


Browse User Visits

  1. On the Visit Browser page, after setting the date interval and adding filters, click a visit row to see all events that occurred in this particular visit.

  2. Click the arrow (Arrow) to expand an event and show all available information on this event, such as dimension values and the response time (see Usage Analytics Dimensions and Reference).

    You can sort events in a visit by Order and Time.

    You can check that events are logged properly by ensuring the metadata of each event is complete and valid.

Review Single Visit Containing More Than 250 Events

  1. On the Visit Browser page, click a visit containing more than 250 events.

  2. Under the 250th event, click Create.

  3. In the Export Estimate dialog that appears, check the Use Dimension Display Names box if you want the export to show the dimension names as they appear in usage analytics reports.

    Origin 1 (Page/Hub)

    By default, exports show the dimension API names.


  4. In the navigation bar on the left, under Analytics, select Data Exports.

  5. On the Data Exports page, click the newly created export, and then in the Action bar, click Download to download the ZIP file on your device.

    The export contains all missing events.

Export Visit Data That Meet Your Criteria

  1. On the Visit Browser page, in the upper-right corner of the screen, click Export Export-Icon.

    If the Export visit data using current filters icon is grayed and unresponsive, you don’t have all with the required privileges to perform this action.

  2. In the Export Estimate dialog that appears and shows the number of events to be contained in the export, click Add an Export.

    The export is created and available for download on the Administration Console Data Exports page.

    When the export contains more than 3 millions events, the events are sorted randomly rather than by date and time.

  3. In the navigation bar on the left, under Analytics, select Data Exports.

  4. On the Data Exports page, click the newly created export, and then in the Action bar, click Download to get the ZIP file on your computer.


The body of the Visit Browser page is essentially a table listing all the visits that match specific criteria.

When no values are returned for a given field, n/a is shown in the column row.

  • Start Date column indicates the date and the hour when the user performed their first event on the search interface.

  • Visit Duration column indicates the time between the first and last event performed by a user during a visit (based on the event visit ID).

    • When hovering the column value, you can see the start and end time of the user visit.

    • An n/a value means that the related visit only contained one event, thus preventing Coveo Usage Analytics (Coveo UA) to calculate the actual visit duration.

  • User Name column indicates the user’s display name, if they were authenticated to the search interface when they performed the event.

  • Location column indicates, when available, the country, province/state, and city from which the user performed the event, based on their IP address.

    The location of the user can be n/a, when the IP address is hashed, for example.

  • Browser column indicates, when available, the web browser name and version with which the user performed the event. This information is extracted from the HTTP user agent identification.

    The browser of the user can be n/a, when the user is a custom bot or a crawler, for example.

  • Event Count column indicates the number of events that occurred in the visit.

  • When expanding a visit row, the All Visit Events table columns indicate general information about each performed event:

    • Order: the rank of the event

    • Time: the time at which the event was performed

    • User Name: when the user is authenticated to the search interface, the display name of the user that performed the event

    • Type: the type of the event, which can be Click, Search, or the name identifying the custom event or its category

      (For custom events only) You can use the Type values when filtering on the Event Type dimension.

    • Cause: (for click and search events only) the name of the search or click event cause (see Click Cause and Search Cause)

    • Details (depending on the event type):

      • For search events: the query text entered by the user in the search box (if any) OR the selected facet value and the underlying advanced query expression

      • For click events: the title and URL of the item on which the user performed the click

      • For custom events: the name of the custom event cause

        You can use the Details values when filtering on the Event Value dimension.

  • When expanding an event row, you can see all the dimensions and their values passed along with the performed event indicating the context of the recorded event (see Usage Analytics Dimensions).

Required Privileges

The following table indicates the required privileges to view and to edit elements of the Visit Browser page.

Action Service - Domain Required access level
View user visits

Analytics - Analytics data

Analytics - Dimensions

Analytics - Named filters

Analytics - Permission filters

Export visit data

Analytics - Analytics data

Analytics - Dimensions

Analytics - Named filters

Analytics - Permission filters


Analytics - Data exports

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