Recommendation Types
Adobe Commerce provides a large set of recommendations that you can deploy to various pages on your site. All recommendation types are data-driven. They are powered by behavioral data, product attribute data, and metrics. For easy reference, recommendation types are grouped as follows:
As a best practice, Adobe recommends the following guidelines when using recommendations:
-
Diversify your recommendation types. Customers start ignoring recommendations if they suggest the same products over and over again.
-
Do not deploy the same recommendations to your cart page and order confirmation page. Consider using
Most Added to Cart
for the cart page andBought This, Bought That
for the order confirmation page. -
Keep your site tidy. Do not deploy more than three recommendation units on the same page.
-
If your store sells clothing, the
More like this
recommendation can suggest gender-specific products that do not match the gender of the product being viewed. Consider using this recommendation type only for non-clothing categories.
Personalized personalized
These recommendation types recommend products based on the specific shopper’s behavioral history on your site.
Where used:
- Home page
- Category
Suggested labels:
- Just for you
- Recommended for you
- Inspired by your shopping trends
Where used:
- Home page
- Category
- Product detail
- Cart
- Confirmation
Suggested labels:
- Recently viewed
- Take another look
Cross-sells and up-sells crossup
These recommendation types are social-proof driven to help shoppers find what others liked or product-driven to help them find other similar products
Where used:
- Product detail
- Cart
- Confirmation
Suggested labels:
- Customers who viewed this product also viewed (PDP)
Where used:
- Product detail
- Cart
- Confirmation
Suggested labels:
- Customers who viewed this ultimate bought
- Customers ultimately purchased
- What do others buy after viewing this product?
Where used:
- Product detail
- Cart
- Confirmation
Suggested labels:
- Get everything that you need
- Don’t forget these
- Frequently bought together
Where used:
- Product detail
- Cart
- Confirmation
Suggested labels:
- More products like this
- Similar to this
Popularity popularity
These recommendation types recommend products that are the most popular or trending within the last seven days.
Where used:
- Home page
- Category
- Product detail
- Cart
- Confirmation
Suggested labels:
- Most popular
- Trending
- Popular right now
- Recently popular
- Popular products inspired by this product (PDP)
- Top sellers
Where used:
- Home page
- Category
- Product detail
- Cart
- Confirmation
Suggested labels:
- Most popular
- Trending
- Popular right now
- Recently popular
- Popular products inspired by this product (PDP)
- Top sellers
Where used:
- Home page
- Category
- Product detail
- Cart
- Confirmation
Suggested labels:
- Most popular
- Trending
- Popular right now
- Recently popular
- Popular products inspired by this product (PDP)
- Top sellers
Adobe Sensei aggregates browsing and purchase data across your site to determine and rank which products are the most recently popular with your shoppers. Because Trending analyzes recent product momentum, it is an effective recommendation type for catalogs that have a high turnover. If your catalog is more static, it might not be as useful unless the shopping patterns of your audience are highly variable.
When used on the home page, Trending recommends products that are recently popular across the entire site. Trending does not display products that are consistently popular, but rather those that have recently become popular. For example, if you have an email marketing campaign promoting certain products, the popularity increase generated by the email increases the likelihood that the promoted products classify as trending.
Where used:
- Home page
- Category
- Product detail
- Cart
- Confirmation
Suggested labels:
- Trending
- Trending now
- Recently trending
- Hot products
- Trending related products (PDP)
High performing highperf
These recommendation types recommend top performing products based on success criteria like add-to-cart or conversion rates.
Where used:
- Home page
- Category
- Product detail
- Cart
- Confirmation
Suggested labels:
-Top sellers
- Popular products
- You might be interested in
Where used:
- Home page
- Category
- Product detail
- Cart
- Confirmation
Suggested labels:
- Top sellers
- Popular products
- You might be interested in
Where used:
- Home page
- Category
- Product detail
- Cart
- Confirmation
Suggested labels:
- Most popular
- Trending
- Popular right now
- Recently popular
- Popular products inspired by this product (PDP)
- Top sellers
Where used:
- Home page
- Category
- Product detail
- Cart
- Confirmation
Suggested labels:
- Most popular
- Trending
- Popular right now
- Recently popular
- Popular products inspired by this product (PDP)
- Top sellers
Visual similarity visualsim
The Visual similarity recommendation type recommends similar looking products to the product being viewed. This recommendation type is most useful where images and visual aspects of the products are important parts of the shopping experience.
How it works
The Visual similarity recommendation type offers recommendations for other products in your catalog that have a visual similarity to the imagery currently being viewed. Visual similarity includes aspects such as:
- Color
- Shape
- Size
- Texture
- Material
- Style
Adobe Sensei uses AI to process and analyze the imagery in your catalog and build attributes used to determine visual similarities.
Because this recommendation type is not applicable to most catalogs, it is not enabled by default. You must explicitly enable this recommendation type.
Enable Visual similarity recommendation type
-
On the Admin sidebar, go to Marketing > Promotions > Product Recommendations to display the Product Recommendations dashboard.
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Click Settings (gear icon) to display the Settings page.
-
In the Visual Recommendations section, select to Enable Visual Recommendations.
-
Click Save changes when you are finished.
The Create New Recommendation page now displays Visual similarity as a selectable recommendation type when the page type is Product Detail.
After you enable visual recommendations, Adobe Sensei initiates the image processing. How long it takes depends on the size of your catalog.
Where used
- Product detail
Suggested storefront labels
- You may also like
- We found other products you might like
- Inspired by this style
Example
The following image shows the product detail page for the Clamber Watch:
The following shows the Visual similarity recommendation unit for Clamber Watch: