Product Recommendations

The Episerver Customer-Centric Digital Experience Platform contains many features to support you in your daily work. Depending on how your solution is set up, some features described in this documentation may not be available to you. Contact your system administrator to find out more. See Episerver World for technical information.

With Episerver Product Recommendations, you can provide a personalized shopping experience for visitors to your e-commerce website. Personalization is based on website interaction such as order history, visitor profiles, and intelligent algorithms to suggest products of interest. A developer must first configure the tracking, personalization service, and recommendation widgets, then you can start working with Product Recommendations to define recommendations strategies using the Personalization Portal. See the Episerver Personalization developer guides.

How it works

Recommendation widgetsConfigurable screen element for displaying information. are components used for presenting product recommendations in pages. Widgets are configured in the Episerver back-end according to an agreed-upon strategy. Each widget can have its own strategy that depends on the identified KPIsStands for "key performance indicator" (also known as a conversion goal); the measurement of actions on web pages. The actions can be completed purchases, pages visited, time spent on site and so on. for personalization. If there is more than one widget served on the same page, each of the widgets also can have a different strategy.

A strategy comprises a number of algorithms, developed by Episerver's data scientists and machine-learning experts. The algorithms are applied to each widget in a stack formation. This means that the personalization engine examines the visitorSomeone who visits a website using a web browser. In most cases, a visitor can use public functions and services but cannot create content and has limited access to community content. In an SEO context, visitor means the number of visits to a URL through channels (external referrers), direct arrivals, and internal links. (See also visitor groups.)’s behavior, and tries to return a product recommendation matching the first algorithm in the stack. If the system is unable to identify a suitable product, the next algorithm in the stack is used, and so on, until the required number of products for this widget are returned.

From the Product Recommendations interface, you can refine the product recommendations generated by Episerver algorithms, or override product recommendations to execute specific merchandising campaigns using your overall site strategies and targets.

You can control merchandising rules in the Episerver Personalization Portal, switching them on or off, and changing them in real-time.