Merchandising rules for Recommendations
This document shows how to create and configure a merchandising campaignPersonalization (Perform): Describes rules for displaying recommendations that share a strategy and time frame while marketing a product or service..
Episerver Personalization is the most advanced personalization tool set on the market. At its heart is the T3 platform, a third-generation, proven technology that delivers consistently outstanding results. Personalization is easy to implement on every page of your website, working to maximize the impact of personalized product recommendations.
Each recommendations widgetA block of recommendations on a web page or in an email message. on your site is configured in the Episerver back-end according to a pre-agreed strategy. Each widget can have its own strategy depending on the identified KPIKey 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.s 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 our data scientists and machine learning experts. The algorithms are applied to each widget in a stack formation. This means that the personalization engine looks at 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 recommendation matching the first algorithm in the stack. If the system is unable to identify a suitable product, it looks at the next algorithm in the stack, and so on, until the required number of products for this widget are returned.
Episerver's Recommendations interface lets you refine the recommendations generated by Episerver algorithms, or override Episerver recommendations to execute specific merchandising campaigns in accordance with your overall site strategies and targets.
You can control merchandising rules in the Episerver Personalization Portal, switching them on/off and changing them in real time.
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