Coveo Cloud Usage Analytics

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Coveo Cloud organizations use the Coveo Usage Analytics (Coveo UA) service that records user interactions with search interfaces to allow you to monitor and measure the usage of your Coveo search solution. The usage analytics tools, available under the Analytics section of the Coveo administration console navigation menu, can help you evaluate user adoption, identify the content end users are searching for, and determine whether they can find it.

From this page, you can access the:

“Reports” Page

On the Reports page, you can easily configure custom usage analytics dashboards and explorers to properly monitor search activities within your search interfaces. This page also allows you to analyze those dashboards and explorers, which help you measure and better understand the behavior of your end users.

Below are some examples of metrics that can be reviewed in reports:

For further information on usage analytics reports, see Usage Analytics Reports.

“Visit Browser” Page

On the Visit Browser page, you can review usage analytics events recorded for each user visit that occurred in your search interface. The visit browser provides a way to filter visits so that you can review only the most relevant ones for a given situation.

For further information on the Visit Browser, see Reviewing User Visits With the Visit Browser.

“Data Exports” Page

On the Data Exports page, you can export usage analytics data that occurred within your search interface. The data exported from the Data Exports page comes in CSV files which can conveniently be imported in a third-party tool such as Microsoft Excel.

This page allows you, among other things, to:

  • Download and delete exports
  • Recreate existing exports
  • Manage schedules that automatically generate data exports
  • Review data exports management activities

For further information on data exports, see Adding and Managing Data Exports.

“Dimensions” Page

On the Dimensions page, you can manage the usage analytics event metadata used to fill your usage analytics reports. You can use this page to create, modify, or delete dimensions. This page also enables you to review dimension management activities.

For further information on usage analytics dimensions, see Adding and Managing Dimensions on Custom Metadata.

“Named Filters” Page

On the Named Filters page, you can review your custom predefined filters which can easily be included in your usage analytics reports, exports, and in the Visit Browser. This page allows you to create, edit, and delete named filters. From this page, you can also review named filter management activities.

For further information on named filters, see Adding and Managing Named Filters.

“Permission Filters” Page

On the Permission Filters page, you can create permission filters which allow you to limit the usage analytics data accessible to certain users in reports, data exports, or in the Visit Browser. More specifically, this page enables you to easily create, edit, and delete permission filters according to the evolution of your context. This page also allows you to review permission filter management activities.

For further information on permission filters, see Adding and Managing Permission Filters.

“Metric Alerts” Page

On the Metric Alerts page, you can review usage analytics anomalies that occurred in your organization. These anomalies trigger an alert when irregularities are detected on the expected value of specific key metrics. More specifically, this page provides many tools that enable you to review information on the anomalies such as the impacted metrics and start dates. This page also allows you to activate and deactivate ongoing alerts.

For further information on metric alerts, see Reviewing Usage Analytics Metric Alerts.

“Incoherent Events” Page

On the Incoherent Events page, you can review the usage analytics events that have been discarded by the Coveo Usage Analytics service. More specifically, this page allows you to easily inspect these events and helps you find the root causes to fix them as quickly as possible.

For further information on incoherent events, see Reviewing Incoherent Usage Analytics Events.