Recommendation effectiveness statistics:

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Introduce new users to the product range and offer regular customers new products that may interest them.
Save the user's time on studying the product range by offering products that may be of interest.
Quickly find a product that a customer previously viewed but forgot to add to their favorites or cart.
Benefits of product recommendations for business:

Increase in average check. Related products help the client to order everything needed at once, and similar products offer more expensive ones or with better characteristics. Popular products work as social proof, pushing to purchase.
Repeat sales: Personalized selections and new products that are similar to favorites motivate the customer to return and make another purchase.
Price increase. Recommendations help to sell not only unpopular products, but also successfully promote popular ones. When demand increases, the store can raise prices.

Product recommendations account for an average of 31% of an e-commerce site's revenue .
Customers who study product recommendations complete their purchases 4.5 times more often and with an average check that is 10% higher .
35% of what consumers bought on Amazon came from its recommendation system .
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Types of Product Recommendations and How to Use Them
Product recommendations are divided into two types based list of netherlands cell phone number on the principle of using user data:

Personalized. Algorithms select products for a specific user based on their behavior. For example, products similar to those the customer ordered last month.
Non-personalized: These collections are created for everyone or for a segment of buyers based on general trends. For example, products that a certain group of people buys most often.
Recommendations also differ by type:

Similar. Products that resemble those the user has already viewed or purchased. They usually belong to the same category.

Complementary. Products that are usually purchased together with the selected one. They complement each other and are often used together.

Similar and related products in the app
In the application, the store allows you to simultaneously view similar and related products
Popular. Products that other customers have frequently viewed and purchased. Although not personalized, these recommendations help new users navigate the product range and may encourage them to make a purchase.