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Four recommendations that each print why they were chosen above the card.
Four recommendations that each print why they were chosen above the card.
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You May Also Like puts the recommendation reason above each card, because you compared capacities, bought by 31% of owners, you looked at the weather FAQ. Explaining the algorithm converts the section from surveillance to service, and the lede invites correction, if the reasons feel wrong, tell us.
Recommendations are one array with a because field that your recommendation engine should be able to produce, if it cannot, that is a signal about the engine.
Reach for this block below product content where generic recommendation carousels usually go. The reasons must be real outputs, not editorial guesses dressed as data.
A natural flow around it on an Ecommerce Pro page:
Before
After
One strong use is four picks with their actual reasons. Other framings:
Tip: the reason line above the product, not below, reading why before what is what makes the suggestion feel chosen rather than served.