CMH Recommendations manager
CMH Recommendations manager
The Coveo Merchandising Hub (CMH) Recommendation manager is a tool designed to enable merchandisers to strategically influence and optimize the product recommendations displayed in {slots} across a Coveo-powered commerce storefront.
At its core, the Recommendation manager leverages advanced Coveo Machine Learning Product Recommendations (PR) to deliver highly relevant and personalized product suggestions to each customer. This AI-driven approach ensures that recommendations are not only tailored to individual preferences but also adapt dynamically to changes in customer behavior and market trends.
In addition to its powerful machine learning capabilities, the Recommendation manager allows merchandisers to create and manage seeded strategies. These strategies enable the targeting of specific products, categories, or attributes, ensuring that key items receive the visibility they deserve within the recommendation engine. By blending AI-driven insights with manual merchandising controls, the Recommendation manager provides a comprehensive solution that maximizes both customer satisfaction and business outcomes.
Furthermore, the tool offers in-depth performance metrics, enabling continuous optimization and refinement of recommendation strategies. This ensures that merchandisers can maintain a competitive edge by consistently delivering relevant and impactful product recommendations.
Recommendation manager main page
The Recommendation manager main page offers merchandisers a comprehensive overview of all recommendation strategies associated with a specific storefront. This central hub provides easy access to manage and refine merchandising rules, track the performance of machine learning-driven recommendations, and implement seeded strategies. Additionally, merchandisers can monitor key performance metrics for each recommendation strategy, ensuring they can effectively optimize product visibility and enhance customer engagement across the storefront.
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The Tracking ID and Locale selectors enable merchandisers to choose the tracking ID and locale combination to scope the slots displayed in the Recommendation manager. |
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The search bar allows merchandisers to search for specific slots or rules within the Recommendations manager. |
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The navigation tabs allow merchandisers to switch between different sections of the Recommendations manager. |
4 |
The Show dropdown menu enables merchandisers to filter the slots displayed on the different page types. |
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By default, the Slot name row displays the slots that are most frequently used by customers for the selected combination of tracking ID and locale. It’s also possible to sort the queries using the arrow icons next to each column header. |
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The Strategy column displays the type of product recommendation strategy associated with each slot. |
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For each slot listed in the Recommendations manager, key performance metrics are displayed to provide insights into the performance of the slot. |
Navigation tabs
The navigation tabs enable merchandisers to switch between different sections of the Recommendations manager. More specifically, the tabs provide access to the following sections:
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Slots: Displays the recommendation slots created for the selected combination of tracking ID and locale.
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Filter rules: Displays the filter rules created for the selected combination of tracking ID and locale.
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Ranking rules: Displays the ranking rules created for the selected combination of tracking ID and locale.
Recommendations manager rules
Product seeds
Priority of rule operations
Performance metrics
This section focuses on the key performance metrics available for each slot listed on the Performance metrics page of the Recommendations manager.
To access the Performance metrics page, in the Recommendation 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 |
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 attributed to each product. |
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 comparison
The CMH enables merchandisers to compare data for predetermined sets of time. To switch between the different time periods, click the drop-down menu in the upper-right corner of the Performance metrics page.
The following time periods are available:
| Metric timeline | Description |
|---|---|
All time |
Sum of all the data since the first recorded metric. |
Compare last 7 days |
Provides a comparison of the last 7 days of data with the preceding 7 day period. |
Compare last 28 days |
Provides a comparison of the last 28 days of data with the preceding 28 day period. |
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.
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