Create product recommendations to make sure your customers see dynamic, personalised recommendations at the most optimised time in their customer journey. Use correctly, and you'll notice improved product discovery, increased conversions, and higher order value.
We’ve designed the product recommendation builder to let you quickly discover which recommendation to use, at what phase of the customer journey, and which channel to communicate on.
Understand the recommendation builder
The recommendation builder first opens to show all product recommendations. On the left, there’s a list of categories based on various stages of the customer journey. In the centre, each recommendation is displayed as a tile.
Product recommendation tiles
You can see the product recommendation tiles on the Product recommendations builder.
Each tile displays three pieces of information:
The name of the product recommendation.
The channels where you can use this recommendation – for example, Email, Landing page, or Website.
A short description of the recommendation.
The category list is on the left side of the product recommendations page. You can either view All recommendations or choose one of the categories to narrow down your selection. There are eight customer-journey categories, and three website-placement categories to choose from.
These recommendations are designed to get the most impact at a particular point within the customer journey.
These recommendations fit nicely into a particular area of your ecommerce store.
Website category page
Website product page
All product recommendations
You have a selection of product recommendations to choose from. Each recommendation is optimised for various needs within the customer journey.
There are seven pre-designed product recommendations:
Products that have sold the most, favouring more recent sales.
Products that have a combination of high recent sales and high recent web views.
Products that have the most views on your website, favouring more recent traffic.
Uses AI to identify products similar to items the customer has previously purchased.
Uses AI to predict the next products in the customer journey by matching to similar shoppers.
New in store
Products that have recently been added to your product catalog
Uses the most recent purchase or currently viewed product on your website to recommend popular products customers also bought
Chooses the most recently added products based on your filters.