Note: Personalization Settings have been redesigned. If you were used to the older settings before the last upgrade, please read this article to see a comparison. You can also follow this walkthrough for a visual tour.
Data displayed on this form is from the last update run; it may not be current, in which case you may need to wait for the next update to complete before seeing your results. You can start a new update at any time by clicking the blue "Update" button at the top right of the page.
Typically, our Data Science Generator updates automatically after your product data is indexed. If there has been an error processing your settings, those errors will be reflected here. After rectifying any errors, you can start a new update to confirm your changes.
Data Science Updates
This section provides details on the data available for personalization.
Current Status = This section displays the status of updates, whether they are in progress, complete, or pending.
Last Updated = This section displays the date and time of the last update.
Note: This message box displays multiple pro tips; click the Recycle button 
Overall Stats
This section displays an overview of the statistics from your last update, including total number of products, available and excluded products; known, active, and inactive customers; categories and brands; contextual groups; product views; and sales.
View All Stats button
Click the "View All Stats" button to see all of the stats available to you. Click the "Close" button to return to the System Status tab.
Boosted Product Stats
This table displays details about products that have been given priority in relevant personalization results. It lists each of the active Boosted Product rules, and shows how many items matched each rule on the last update. You can see a demo of how these stats work with boosted product rules here.
Note: The rule counts are not mutually exclusive. If a single product is boosted by multiple rules, it will be reflected in each count.
The table displays the following:
- Rules = This column displays all boosted product rules by the name of the product rule.
- Product Count = This column displays the total number of products that match the definition of the rule.
Rows per page
The bottom right of the screen displays the number of rows per page (which you can modify by clicking the drop-down arrow), total results, and navigation arrows to move forward and backward among the pages of rules displayed.
Contextual Group Stats
Contextual Groups allow merchandisers to group products together so that they are only recommended when shoppers are viewing a product that is a member of that group. This table shows all of the groups that were created during the last update and the number of products in each group.
Note: The product counts are not mutually exclusive. If a single product matches multiple groups, it will be reflected in each count.
The table displays the following:
- Groups = This column shows the name of each group that matched products in the last update.
- Product Count = This column shows the number of products in each group.
Excluded Product Stats
This table displays details of the total number of products that are excluded from recommendations. These products will not be recommended, but will still be used as seed items. For example, you might not want out-of-stock products to be recommended, but because a shopper could still find that product on your site, you want the ability to show recommendations on that product detail page, using that out-of-stock item as the seed. For example, it is a good idea to show similar items so shoppers can find an alternative that is available now.
Note: The rule counts are not mutually exclusive. If a single product is excluded by multiple rules, it will be reflected in each count.
The table displays the following:
- Rule = This column lists all of the rules that had matching products on the last update.
- Product Count = This column shows the number of products excluded by each rule, and also provides the total percentage of excluded items among all products. In this example, it is 1%.
Inactive Product Stats
Products added to the inactive state do not have recommendations calculated by the generator. These inactive products cannot be used as seed items, so listing products here will speed up your Data Science Updates. This value displays the number of inactive products that are excluded from the generator.
The table displays the following:
- Rule = This column lists all of the rules that had matching products on the last update.
- Product Count = This column shows the number of inactive products that matched each rule, and also provides the percentage of inactive items among all products. In this example, it is 1%.
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