Product recommendations help shoppers discover the right products in the right context. By combining AI, behavioral data, and product intelligence, Elevate continuously analyse what the shopper is trying to achieve, to recommend the most relevant products.
What are product recommendations?
Product recommendations are automatically generated product suggestions shown on your site.
Instead of relying on manual selection, Elevate uses:
* Shopper behavior (clicks, searches, purchases)
* Product data and relationships
* Real-time trends and performance
to recommend products that are most relevant in each situation.
How recommendations are used in Elevate
In Elevate, recommendations are implemented through Recommendation Lists.
A Recommendation List is a product list powered by a specific recommendation type and can be added to different pages across your site.
You can use Recommendation Lists together with:
* A Primary List (your main product listing)
* Or on their own to support discovery and conversion
Where recommendations appear
Product recommendations can be used throughout the customer journey, for example on:
* Landing and category pages – to inspire browsing
* Product detail pages (PDP) – to suggest alternatives or complementary items
* Cart and checkout pages – to increase basket size (read more about Add-to cart recommendations)
Each placement serves a different purpose, depending on where the shopper is in their journey.
How Elevate makes recommendations relevant
Elevate doesn’t just recommend similar products — it works to understand what the shopper is trying to achieve.
It does this by combining:
* Customer intent – what the shopper is searching for or interacting with
* Product understanding – how products relate to each other
* Behavioral signals – what is trending, popular, or likely to convert
This allows Elevate to continuously adapt recommendations in real time.
What you can control
Elevate handles the automation, but you control:
* Where recommendations are shown
* Which recommendation types are used
* How they support your business goals. Read more about tweaking recommendations
This means you can combine automatic optimization with strategic placement and merchandising decisions.
Learn more
To get the most out of product recommendations, continue with:
* Recommendation lists – how to add and manage recommendations on pages
* Recommendation types – what different types exist and when to use them
* Best practices – how to choose the right recommendations for each part of your site
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