Help your customers find the products they want...

Product recommendations are becoming an essential part of e-commerce stores. Not only to solve the task of putting the right product in front of the right customer, but also to improve the store navigation for customers browsing things they are, or could be, interested in. Recommendations help you drive revenue through cross-selling and up-selling, but it also drives revenue by increasing the customer experience on your site. Our recommendations drive an increase in revenue that is often noticeable within a few weeks, along with increase in engagement and time spent on store.

Why using a recommendation engine?

The most essential task of a recommender system is to serve up relevant content to the user at the right time. A product recommendation engine provide relevant products to store visitors to increase the likelihood of turning the visitor into a customer. Much like Netflix's recommender system aims to increase time spent at Netflix by serving up movies and series that the user is likely to want to watch.

It is hard to serve the right product to the right visitor, at the right time. Doing this through featured products or featured categories is often as close to getting it "right" a store owner can get without spending a lot of time on maintaining the "you may also like" section for every product in store. This is impractical and the recommendation engine simply offers a better way of doing it. The algorithm analyses data on customers purchasing patterns and order history to derive the products a visitor is most likely to buy and putting them right in front of them, in real -time. Across all products in the assortment, served every hour, every day.

How are the recommendations displayed?

Recommendations can be displayed anywhere you like. The most common places to recommend products are the product pages, the cart page and collection pages. Using our design editor you may customize the recommendations to fit your overall store design and you decide on which page to put them, and also where on the page to display them.

What else is there to your service?

Engage is essentially an advanced analytics solution that provides AI driven product recommendations and data driven business insights. Engage aims to improve customer experience and increase revenue for the store owners. Furthermore, engage enables visitor tracking and granular data capturing for improved analytics, statistics and data warehousing capabilities.

Features

• Automated product recommendations
• Design Custom recommendation blocks
• Automated Cross-sell
• Automated Up-sell
• Sales and performance reports