Recommendation: Troubleshooting & FAQs

Q. What is Netcore Recommendation and why should I use it?

A. Netcore Recommendation is an AI-powered engine that helps you show personalized product suggestions to users in emails. It helps increase engagement, click-through rates, and conversions by recommending relevant products based on user behavior and purchase history.

Can I mix different recommendation types in one email?

A. You can use multiple Product blocks and select different recommendation rules for each.
However, you cannot use both Collection and Merchandising Event rules together in the same block, as they are trigger-based.

Q. My email template does not look the same on mobile and desktop. What should I do?

A. Ensure that your template is responsive! In the UCE, you can check how your template looks on both desktop and mobile devices. If something looks odd, try adjusting the layout or checking if there is an option to hide certain elements on mobile. Look for the Responsive setting and ensure everything looks good on both screens.

Q. Can I use a combination of Product and Coupon from Widget?

A. You can add up to 10 blocks within a single Widget. These blocks can include products, coupons, or a combination of both, giving you the flexibility to design engaging and personalized layouts in your email template.

Q. What happens if no recommendation data is available for a user?

A. If a user has no past activity or relevant data, the system can fall back to generic recommendations (like bestsellers or trending products), depending on the algorithm and configuration used in your template.

Q. Can I personalize recommendations based on location or device type?

A. While the recommendation engine primarily uses behavioral and catalog data, it can also incorporate location-based signals (like trending in a region) if that data is available in your product fee.

Q. How frequently are the recommendations updated?

A. The update frequency depends on your integration with Netcore Unbxd. Typically, recommendation data is refreshed regularly (e.g., daily), but this can vary based on how often your catalog and behavior data are synced.