Recommendation details
Recommendation details
In the Coveo Merchandising Hub (CMH), when merchandisers click View for a specific recommendation slot in the Recommendations manager, they access detailed information about the slot, including the applied strategies and rules, key metrics, and configuration information.
Recommendation details page overview
The recommendation details page provides a comprehensive overview of the slot’s performance, the applied strategies and rules, and configuration information.
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The title displays the name of the slot for which the details are being viewed. |
2 |
The Performance tab displays key metrics to provide insights into the performance of the slot. |
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The Strategy & rules tab displays the recommendation strategy and merchandising rules applied to the slot. |
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The Configuration tab displays the configuration details of the slot. |
Performance metrics
This section focuses on the key performance metrics available for each slot listed on the Performance tab of the Recommendations manager.
To access the Performance tab, in the Recommendations manager, select View at the end of any slot listed. You’ll then see the following sections:
Hero metrics
Hero metrics are the key performance indicators prominently displayed at the top of the Performance metrics page.
| Metric | Definition |
|---|---|
Clickthrough rate |
The percentage of times a view is followed by a click on a product within the recommendation slot. |
Revenue |
The revenue of products attributed to a recommendation slot, including taxes, shipping costs, and discounts. |
Conversion rate |
The percentage of visits which converted for the recommendation slot. |
"Collected data" metrics
The Collected data metrics section provides a comprehensive overview of user interactions and activities for a recommendation slot. These metrics are essential for understanding how a recommendation slot is performing and how users are engaging with the results.
| Metric | Definition |
|---|---|
Views |
The number of times the recommendation slot was displayed. |
Visits |
The number of visits that took place for a recommendation slot. |
Visitors |
The number of unique visitors, as tracked in their browser, who viewed a recommendation slot. |
Products |
The number of products shown in a recommendation slot in the storefront. |
Clicks on products |
The number of times products were clicked on a recommendation slot. |
Purchases |
The total number of purchases that are attributed to a recommendation slot. |
"Analyzed data" metrics
The Analyzed metrics section is used for evaluating how well the recommendation slot engages visitors and drives desired actions, such as clicks and purchases.
| Metric | Definition |
|---|---|
Average click rank (ACR) |
The average position of clicked products. |
Revenue per visitor (RPV) |
The total revenue divided by the total number of visitors. |
Average order value (AOV) |
The average revenue per purchase from products shown on a recommendation slot. |
"Product metrics" metrics
The Product metrics section displays the performance of individual products from a recommendation slot.
| Metric | Definition |
|---|---|
Revenue |
The net revenue of the product attributed to the recommendation slot. |
Clickthrough rate |
The percentage of times a view is followed by a click on a product within the recommendation slot. |
Conversion rate |
The percentage of times a product converts. |
Ranking position |
The average position occupied by a product on a recommendations slot. |
Time period analysis and comparison
The CMH enables merchandisers to analyze performance metrics over specific time periods. Users can select a predefined or customized date range to tailor their analysis.
To access and switch between available time periods, use the date picker in the Recommendations manager or detail page to select your date range and click Apply change. By default, the All time time period is displayed.
The following predefined time periods are available:
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All time: Displays the sum of all data since the first tracked metric onward. This option is selected by default unless modified.
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Last quarter: Displays metrics for the most recent quarter.
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Last month: Displays metrics for the most recent calendar month.
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Last week: Displays metrics for the most recent calendar week.
Custom date range selection
Users can select a specific start and end date to analyze metrics for any desired period. This provides flexibility for examining data beyond the predefined ranges.
Compare feature
The CMH includes a compare feature, which allows users to compare metrics between two date ranges. Users can select custom date ranges or choose from predefined comparison periods, such as Previous quarter, Previous month, Previous week, and Yesterday.
To use this feature:
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Select the first date range using the date picker.
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Click Compare and choose a second date range or a predefined comparison period.
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Click Apply change.
The CMH will display the difference between the comparison periods. It will highlight the percentage change, either increased or decreased, to help identify trends and performance variations.
Metric cut-off times
Coveo uses a cut-off time of 23:59:59 UTC for data processing or reporting, which can affect other time zones due to the nature of how time zones work in relation to Coordinated Universal Time (UTC).
A rolling data preview period means that new numbers will be visible every day once both periods are available.
A user in Montreal, Canada, operates in the Eastern Time Zone.
The Eastern Time Zone is either UTC-5 (Eastern Standard Time, EST) or UTC-4 (Eastern Daylight Time, EDT), depending on whether daylight saving time is in effect.
The UTC cut-off of 23:59:59 translates to 18:59:59 (6:59:59 PM) Montreal time.
Discrepancies between reports
Figures shown for metrics in Coveo Merchandising Hub (CMH) reports may differ from those for the same metrics in the Reports (platform-ca | platform-eu | platform-au) page of the Coveo Administration Console and the Commerce Advanced Reports.
These discrepancies typically occur because different reports use distinct filters and processing rules when calculating figures for the same metric.
Here are the most common reasons for differences between reports:
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Inclusion of
searchBoxAsYouTypeevents:By default, reports from the Reports (platform-ca | platform-eu | platform-au) page include search events where the event cause is
searchBoxAsYouType. This can result in higher query figures compared to the Commerce Advanced Reports or CMH reports, which exclude these events by default. -
Time zone differences:
CMH reports use Coordinated Universal Time (UTC), while the reports of the Reports page and Commerce Advanced Reports use the user’s browser time zone. This difference can lead to a few hours of offset in event timestamps, which may affect metric calculations.
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Case sensitivity in query metrics:
For query-related metrics, Commerce Advanced Reports and CMH reports are case-sensitive, while the reports on the Reports page are case-insensitive. This means that identical queries with different casing are treated as separate queries in Commerce Advanced Reports and CMH reports, but are counted as the same query in the reports on the Reports page.
For example, the queries
coveoandCoveoare counted as separate queries in Commerce Advanced Reports and CMH reports, but as the same query in the reports on the Reports page.
Strategy and rules
Clicking the Strategy & Rules tab displays the different strategies and rules that are applied to this specific recommendation slot.
In this tab, merchandisers can modify the slot strategy, create, view, and edit the merchandising rules that are influencing the products shown on the slot.
For information and instructions on managing the different types of slot strategy or rules, see the following sections:
Configuration
Clicking the Configuration tab displays the configuration details of the slot.
In this tab, merchandisers can view and edit some elements of the recommendation slot, such as:
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Edit the slot name
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Copy the Slot ID
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Identify the product seed type
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Modify the number of products displayed
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Delete the slot
Very useful
Not really
Very useful
Not really