A rule consists of two parts: information (such as records in a data set), and the associated triggers that determine when that information is displayed in your application.

Rules are the heart of the Content Spotlighting feature in an Assembler application. Content Spotlighting is the process of identifying and promoting contextually relevant data to users as they navigate or search within a data set.

The MDEX Engine compares each end user query to the rules in an application to determine if the query matches any existing triggers. If an end user's search query, navigation state, user segment, or environment (such as the date) matches a rule trigger, the MDEX Engine returns the corresponding records. These can include the following:

Oracle Commerce applications are tailored to present contextually relevant content to the end user. You can use Workbench to trigger content based on an end user's individual characteristics, on their search queries and navigation selections within your application, or on external factors such as date and time.

Taken together, the combination of an end user's search and navigation state, the user segment they belong to, and any other external factors that trigger rules (such as the user's geographic position or the current date) can be considered the user's "location."

When planning your Content Spotlighting strategy, think of your application in terms of which location displays which content. For example:

This overview is meant as a high-level introduction to how triggers drive the behavior of your application. For more detailed information, see "About controlling the display of content" in this guide.

Content Spotlighting in an Assembler application is based off the end user's state in the application, rather than on static content that does not respond to changes in context.

Content Spotlighting in Oracle Commerce applications works differently from traditional content management systems (CMS), where you select an individual record for promotion, place it on a template or page, and then publish it to a Web site. Oracle Commerce merchandising is dynamic. When a user's query triggers a rule, the rule specifies contextually relevant records to promote to a multichannel application. In some cases, triggers specify how to promote records, but do not necessarily determine what those specific records are. For example, a "Featured Products" rule may return the top-rated products in the user's current category.

This means that as users navigate or search, they continue to see relevant results because appropriate content triggers are in place. Even when the data set itself is updated and the records are altered, existing rules can continue to return relevant records. The trigger conditions remain the same, even though the promoted records may change.

This section contains some typical merchandising scenarios. These examples use the Discover Electronics reference application to demonstrate how various cartridge configurations can fulfill strategies for promoting featured records. The configuration described in each example is not included in the reference application by default, though you may choose to reproduce it.

In this up-sell scenario, the strategy is to promote results that have been highly rated, and return a dynamically generated set of records that also take into account the user's location in the data set.

The rule for accomplishing this has the following configuration:

As a user searches or browses, the rule returns results with a high review rating. Any navigation state triggers the spotlight, because it triggers at all locations.

If a user navigates to the "Cameras" category, the application displays the regular navigation results, as well as 10 spotlighted records in the horizontal spotlight:

Because the trigger is restricted to the active navigation state, the results vary depending on the user's navigation location. For example, instead of navigating to CategoryCameras, suppose a user navigates to products that are black and feature manual focus. The MDEX Engine returns a different set of dynamically generated results for the Top Rated Products spotlight:

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