Placements are a feature in Opti-X that is used to deliver recommended content to your customers. Click "Add New Placement" to be taken to the configuration interface within the "Placement Manager."

Placement Info 

The first step is to name and describe the placement. Populate these fields.

You can also assign labels by entering a label name or selecting from your existing labels. Labels can assist you in identifying specific placements you wish to work with, and they will be displayed in the list of labeled items. 

E.g., ‘Test’ is a label; this is how it looks like in the Placement Manager:

 

Content 

Item: Choose the number of items required from the placement. For example, setting this value to 10 will return 10 recommended bets from the placement.

Explanation: Used to dynamically generate personalized titles in Intelligent Layouts (gaming vertical, "Favorite Game" method only). Titles are based on the user's top-played games or themes.

For this to work, the user must have played a game more than once, and you must not have a specific game/theme selected in your tag rules.

To set it up, enable the Explanation toggle, then navigate to Intelligent Layouts to configure the explanation tag in your layout.

Example of an Explanation Tag:

"Because you enjoy Irish-themed games."

Opti-X can also return either the game code or the full URL from the API for deep-linking.

Select Include Full Item Details to enable this. 

Target Groups  

Methods 

Methods are the underlying algorithms that drive the content of placements. Within this section of the user interface, you are presented with a selection of available methods to drive content. These are effectively a collection of algorithms grouped into a specific purpose.

Navigate across the slider to choose the method you require.

Methods are specific to the vertical. To learn more about each method please visit the Methods for Different Verticals article. 

Once selected, move on to the next section.

Method Settings

Constraints can be applied to each placement to restrict and control recommendation output and they are not mandatory.

Audience is a selection of uploaded audiences in the Data section - > Audiences. If selected, the specified placement or placement variant will be shown to the audience defined in the dataset. It does not override the Target Group configuration (if any) and can be useful for testing.

Note: This functionality is no longer actively supported or developed. We recommend using Target Groups for audience targeting, as they offer more flexibility and ongoing support.

Channel is a selection of available integrated channels where you want to show recommendations.

Fallback settings are available to ensure that content is always shown for a particular placement. 

In cases where there is a shallow profile, the Fallback options will kick in and fill out the placement items to ensure the correct number is returned. Popular Fallback options are:

• Popular Method items: Top N games by popularity over the last 15 minutes

• None: No default option will be returned

Max repeat items per day - this setting restricts how many times the same recommendation will be shown to a user. The algorithms can take care of this automatically, but in certain circumstances, it can be prudent to manually restrict this from the placement settings.

Is margin aware - offers you the ability to prioritize game recommendations based on their RTP. By enabling this option, you ensure that the system favors games with lower RTP when the model score is the same.

Boosting Rule - additional field supported in Gaming vertical. Learn more how to add Boosting rules.

Read more about Methods settings parameters available only for Ecom methods here.

Rules 

Rules enable expressive, customized configurations to be deployed to manage content restrictions across the site. If applied, they will restrict the functioning of the recommendation engine but prove beneficial in terms of content restriction. This is particularly useful when you need to ensure that specific items meet certain criteria. 

Rules are also applied to Fallback. 

Finalizing 

Once happy with all the rules you’ve configured, it’s time to move onto the final stage and save your placement.