đ Product recommendation is an important tool for eCommerce companies to improve sales, customer experience, and loyalty, and to ultimately drive growth and success in the competitive eCommerce landscape.
â ď¸ This feature only works with Boost AI Search & Discovery V3 and above. To find out which version of our app you are using, please follow this article.
What is Product Recommendation?
Product Recommendation intelligently recommends products based on the aggregation of store shopping data and the ability to pick certain items for promotions manually. Suggestions for appropriate items at every touchpoint of your customer journey help increase product findability for better navigation and awareness. As a result, this feature may boost your customers' engagement while escalating store cross-sales.
As a best practice, we recommend the following guidelines when using recommendations:
Diversify recommendation typesârepeating the same items reduces impact.
Keep pages tidy: no more than 3 recommendation units per page.
Types of Product Recommendation
Our app now provides store merchants with different mixed types of product recommendations. Each type follows a separate logic to generate recommendations for your site. Common types of recommendations include:
Recommendation Types | What Is It? | Suggest Label |
Frequently bought together | Recommends items others bought with whatâs in the cart; best on Product or Cart pages. |
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Related items | Suggests products sharing attributes with the source item:
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Newest arrivals | Promotes the latest inâstock products. |
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Trending products | Highlights items most viewed or purchased in the last 7 days. For new stores, use view events to build the trending block. |
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Bestsellers | After 30 days of data, surfaces topâselling items to upsell your iconic products. |
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Most viewed | Recommends products with the most views in the last 30 days. |
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Recently viewed | Shows items based on each shopperâs session historyâhelps them pick up where they left off. |
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Handpicked products | Curate recommendations manually (e.g., a complete skincare routine). |
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Product Recommendation Widget Layouts
Almost anywhere on your website can benefit from the use of product recommendations to engage visitors and entice them to make a purchase. Here are some ways Shopify merchants can make use of Boost AI Search & Discovery to implement product recommendations.
Location | Recommendation Types | Widget Layout |
Homepage |
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Collection Page |
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Product Page |
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Cart Page |
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Carousel (Slider)
The most common layout. Displays items in a horizontal, interactive block; saves space and groups products effectively.
Bundle
Available for Frequently bought together and Related items. Helps shoppers add complementary items, increasing AOV and revenue.
â ď¸ Bundle layout is available on product pages for Frequently bought together and Related items only.
3 Tips On Setting Up Recommendation Widgets On Your Store
#1. Set Up 1-2 Recommendation Widgets On A Collection Page
Add 1 - 2 recommendation widgets at the end of the collection page. This setting should go with pagination or pages with a âView more' button. However, if you have an infinity-scrolling page, don't leave the Recommendation widget at the end.
This approach is suitable with the paginated list of products and both Vertical and Horizontal filter layouts.
#2. Set Up 2 - 3 Recommendation Widgets On A Product Page
The most used recommendation widgets on product pages are Related items and are Frequently bought together, below the main product description.
You can also set up the Recently Viewed widget on the product page, right above the footer.
Total recommendation widgets should be 2 - 3, or to a maximum of 4.
#3. Set Up 1-2 Recommendation Widgets On A Cart Page
The recommended placement for the Bestsellers or Recently viewed widget is below the cart information but above the footer.
Suitable to place 1- 2 widgets on the cart page.
By following these aforementioned guidelines, you'll have recommendations that are always evolving and learning from your customers' experiences. Each customer will get a personalized collection of recommended items according to their specific behavior. And thanks to developments in eCommerce technology, almost any store, including yours, can now access them.
If youâre ready to build a product recommendation strategy that sells check out User Guide: Product Recommendations for simple, step-by-step guidance.
Tutorial Video
Watch our tutorial video to see how to set up Product Recommendation Widget:
Feel free to reach out to our dedicated support team via chat if you have any questions or require additional assistance.