Usage analytics reports

This dashboard evaluates the performance of all your search interfaces with metrics such as Search Event Clickthrough (%), Average Click Rank, and Relevance Index.

This dashboard provides an analysis of the performance metric trends over time of your primary search interface. This report contains a target average for each displayed metric and tips from our customer success manager team.

This dashboard provides an overview of your search interface usage by listing the most popular queries, the most active authenticated users, and the search events without results, and by showing the search relevance over time among other things (see Review trends from the Summary dashboard).

This dashboard provides an analysis of the top trending and top documents of your search interface based on the number of times they were clicked. You can then ensure that the most popular documents are the desired ones and that their ranking modifier is Reveal ART (when Coveo ML is enabled), meaning that your model has learned the relevance of those items, and promotes them accordingly.

This dashboard lets you analyze the performance of your Relevance Generative Answering (RGA) implementation. The template creates a report with three tabs. The Search Metrics tab contains report cards that show metrics such as the number of generated answers, click-through rate, and top queries with and without generated answers. The User Feedback tab displays data collected through the RGA feedback modal. The Self Service tab lets you see the impact of RGA on case submission, and by extension on self-service success, if you’re logging a custom event when a user submits a case during the same visit when accessing the RGA-enabled search interface.

This dashboard helps you enable the Query Suggestion (QS) feature with a step-by-step guide, ensure enough UA data was gathered to take advantage of Coveo ML, and analyze the effect of the suggestions on your search interface performance metrics.

This dashboard lets you analyze user interaction with Smart Snippets.

The dashboard helps evaluate the effectiveness of your case creation page by taking into account the specific custom events logged when a user clicks Submit and Cancel. This report also contains a definition for each displayed metric.

The dashboard helps evaluate the effectiveness of your case creation and support search pages (see Review your company self-service usage). After a quick look at the report, you know the number of case deflections versus case creations and the total number of visits in which at least a search and a click happen among other things.

This dashboard provides a complete overview of your search interface usage by analyzing metrics such as the query, document, and facet performance, and evaluating the effectiveness of your Coveo Machine Learning (Coveo ML) models and self-service page among other things.

This dashboard provides an overview of your agent and Insight Panel performances. The report also analyzes the level of adoption of your panel by measuring the number of agents performing key actions such as using the Full Search page and attaching search results to cases.

This dashboard helps evaluate the effectiveness of your recent search engine optimization (SEO) changes by analyzing the performance between two query pipelines (see Analyze the performance of pipeline A vs pipeline B). With the performance results in hand, you can confidently decide whether you officially apply your search optimization changes.

This explorer helps evaluate the level of adoption of the search solution by presenting Click Event Count and Search Event Count data and listing the top user queries (see Measure user adoption). Therefore, the report is useful to identify what users are looking for the most.

This explorer highlights frequent queries with no results to help you identify potential content gaps, which is content that doesn’t exist yet (see Identify content gaps).

This explorer helps identify relevance issues by highlighting the most frequent queries with the poorest Relevance Index based on the Click Event Count and Average Click Rank to help you focus on top occurrences that don’t return relevant results first (see Identify relevance issues).