Increase revenue in your Shopify store with AI-based recommendation system.
Personalize your customers' shopping experience by providing them with product recommendations that meet their preferences and needs.
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Best Product Recommendations app is based on Recostream recommendation engine. It uses an AI algorithm that provides suggestions of most relevant products to particular users.
Our engine is powered by a machine learning technology that collects and filters necessary real-time data on user behavior and product details.
In this way, Best Product Recommendations app generates a set of personalized product recommendations that are tailored to user expectations, needs, habits, and interests.
Recostream engine generates many types of personalized recommendations that can be placed in several locations in online stores: product pages, cart page, category page, home page, among others.
Each model has different benefits and results depending on location. Read more about the most profitable locations for product recommendations.
Online retailers and ecommerce managers introduce personalized product recommendations to online stores as a part of their cross-selling strategy.
Exposing a complementary product that a customer is likely to add to the cart is a proven method of boosting average order value.
Instead of setting manual recommendations, use our Cross-sell recommendation model to suggest a unique and personalized set of relevant products in real-time.
Best location for this model: product page, cart page, a pop-up after adding a product to the cart.
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We offer two types of Bestsellers model: Bestsellers in Category and Bestsellers in Store.
The recommendation widget displays products that are most frequently added to the shopping cart among all the products in the store, or among all the products from a given category.
Bestsellers will work best on the home page, product pages, unavailable product pages, category pages, and blog posts.
An efficient way to remind your customers what products they viewed during their previous session.
This model is displayed only to the users who have previously visited the store. The set of Recently Viewed Product recommendations is generated based on the session history of a given user with an assigned ID number.
Locate this model on product pages, a pop-up after adding to cart, home pages, unavailable product pages, blog posts.
A recommendation model that displays a set of product suggestions that were bought by other users who also viewed similar products.
This model is based on the statistical analysis of the product browsing history in the store.
The best location to display this product recommendation model is: product page, pop-up after adding to cart, cart page.
It displays most similar products to the product on which we display this recommendation model.
Similarity is determined by comparing descriptions, names, and other product attributes. It is crucial that the product description is as precise as possible and contains keywords.
The data feeds the algorithm that is based on machine learning technology. The Recostream engine needs to process as much data as possible in order to learn about each product. The more detailed the product description, the more relevant the recommendations.
Best places to locate Similar Products recommendation model: product page, a pop-up after adding to cart, unavailable product page.
It displays recommendations with the highest potential for conversion for a given product and customer.
AI Maximized Conversion model is optimized in real-time basing on traffic and customer behavior.
It uses statistical methods and machine learning and selects unique recommendations of the most relevant products.
Locate this model on product pages, a pop-up after adding to cart, home pages, unavailable product pages, blog posts, cart pages.
It shows manual recommendations selected by the store administrator. They can indicate which product recommendations are displayed at a given moment and in a given place on the store's website.
Such a solution is often used for featured products, during special promotions and seasonal sales.
Best locations: home page, cart page, category page, blog.
One of the key features of Best Product Recommendations Shopify app is independent measurement of results.
By integrating Recostream with your Google Analytics account, you can objectively analyze the performance and results of our recommendation app.
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What do our clients say about us?
“Cooperation with Recostream is pure pleasure. The tool continues to develop and adds new useful functionalities. I recommend it to both beginner stores and more developed ones.”
“Recostream allows us to boost the chances of increasing the value of the shopping cart, which, considering a high cost of acquiring a customer, is a very important aspect.”
“The Recostream recommendation system stands out because of the fact that it has algorithms that have a real impact on sales and the effectiveness of which can be objectively and independently assessed.”
If you have any questions about using our app, let us know here:
We are here to help you with any question.
Are you curious about the use of artificial intelligence in ecommerce?
Check the Recostream blog where we share our knowledge about product recommendation systems and its application in online business.
