Shopify App : Personalized Recommendations

Upsell, Related Products, Product Recommendations, Cross Sell

About Personalized Recommendations

Upsells and Cross-sells : Boost your store's average order value via showcasing cart upsells. Take advantage of cross sells. Add upsell and cross-sell on cart drawer.

Personalized Recommendations : Boost your store's revenues and conversions via related products, one click upsells, similar products, and frequently bought together items.

Product Recommendation Emails : Ensure that, via newsletters and emails displaying recommended products, Shopify customers are coming back and be more loyal to your store.

Magento PrestaShop OpenCart WooCommerce
Personalized Product Recommendations

We are proud to see hundreds of webshops generate $41M of extra revenues with our AI powered personalized recommendations and upsells.

  • One click set-up
  • 14 day free trial
  • Design customization
  • Upsell on product, cart, cart drawer

Personalized Recommendations on Web

With our related products app, Shopify page types (product, cart, collection, index, 404, search pages) will now include personalized product recommendations and related products by tags.

Choose the type of logic to use on a recommendation block to display recommended products;

  • Related products from like-minded shoppers
  • Upsell Shopify
  • Cross-sell
  • Popular products
  • Recently viewed products
  • Rule based: "If this, then that"
  • Discounted
  • New arrivals
  • Frequently bought together
  • Product/category reminder

Personalized Recommendations on Emails

You can now deliver personalized recommendations on newsletters by integrating to your existing templates with a simple copy & paste. You may show related products in Shopify, do cart upsells, cross-sells and send the emails via any provider.

Automated Emails (Reminders)

  • Abandoned Cart Emails: We automatically send abandoned cart emails to remind your shoppers. These emails do not only include the product left in the cart but also display a personalized list of related products.

  • Browse Emails: Some of your visitors browse through product and collection pages - never adding any items on their carts. We help you win those customers! We automatically send reminder emails including the viewed products along with personalized recommendations.

  • No Purchase/Visit : We send reminder emails to inactive customers along with product recommendations and upsells asking them to come back.

AI Powered Personalization Platform

Thanks to our AI powered technology that has personalized +5B pages, we are able to capture and analyze your visitors' clickstream behaviour i.e. the products viewed/bought, tags, categories, collections, sizes, colours. We not only analyse behaviours around products but also individuals' and similar users’ preferences. So, our upsell and cross sell recommendations are also personalized. We also,

  • Track and micro-segment visitors in real time.
  • Show each visitor the right set of recommended products, at the right moment.
  • Offer a consistent experience on web, emails and mobile.
  • Match visitors with similar tastes to show personalized recommendations.


After your free trial, you pay us what you use. Monthly fees start from $9.99 with no upfront costs. Your monthly fee is calculated based on the number of times recommendation blocks are generated. You may cancel anytime.


Support hours: Monday - Friday : 9am - 7pm (GMT+3).

"How to" Video:

App Images
Launch date
March 07, 2016
App rating
Top features

Seamless workflow: use directly in Shopify admin

Up-to-date tech: works with the latest themes

About the Author

Matej Kontros

Matej Kontros is an E-Commerce expert and app developer with over a decade of professional experience in IT.

Matej has worked for organisations of all types and sizes, including global players, startups, and agencies. He designed, developed, and maintained complex projects.

Matej's expertise includes e-commerce, software engineering, web development, systems administration, internet security, managing projects, and building teams.

Visit his website at [ Web Linkedin ] or contact him at