Use AI models to rank journeys journey-ai-models

Last update: Tue Mar 10 2026 00:00:00 GMT+0000 (Coordinated Universal Time)

Applies to:
Journey Orchestration

CREATED FOR:

Intermediate
User

AVAILABILITY

This feature is currently in Limited Availability. Contact your Adobe representative to gain access.

Adobe Journey Optimizer helps you control which journeys a profile can enter when they qualify for more than the system allows. To do so, you can use rule sets to define caps on journey entry or concurrency. When a profile is eligible for more journeys than the cap allows, the priority assigned to each journey determines which journeys are selected.

Instead of using priority, you can also use AI models in your ranking formulas to dynamically rank journeys based on trained model scores.

Create an AI model create-ai-model

To create an AI model for journey ranking, follow the steps below.

Create a dataset where conversion events will be collected. Learn how
Access the Orchestration ranking section, then select the AI models tab. The list of previously created AI models is displayed.
Click Create AI model.

Specify a unique name and, if needed, a description for the AI model.

AI model details showing the name and description fields {width="85%"}

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NOTE
The ranking object is the entity that the ranking formula will apply to. By default, the ranking object is set to Journey.

In the Optimization metric section, all metrics from your default Customer Journey Analytics data view display in the list. Select the metric that you want to optimize your model on.

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Journey Optimizer ranks based on the conversion rate (Conversion rate = Total number of conversion events / Total number of impression events). The conversion rate is calculated using:
- Impression events (items that are displayed)
- Conversion events (items that result in clicks or conversions)
These events are automatically captured using the Web SDK or the Mobile SDK. Learn more in the Adobe Experience Platform Web SDK overview.

Select the dataset(s) where the conversion and impression events are collected. Learn how to create such datasets in this section.

Dataset selection for conversion and impression events {width="85%"}

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CAUTION
Only the datasets created from schemas associated with the Experience Event - Proposition Interactions field group are displayed in the drop-down list. You can select up to 5 datasets.

Select the segment(s) to use to train the AI model.

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NOTE
You can select up to 50 audiences.

Save and activate the AI model.

The AI model is now available for selection when you create a ranking formula.

Reference the AI model in a formula to rank journeys reference-ai-model

You can now set the AI model as a reference to build a ranking formula, then assign the formula to a rule set and apply the rule set to your journeys. To do so, follow the steps below.

Create a ranking formula. Learn how
Use the Select AI model button to select the AI model you want to use in the formula.

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In at least one of the Criterion sections, define a condition and select AI model score as the ranking method. For example, if the journey has a “Promo” tag, the ranking score is the AI model score.

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Click Create to complete your ranking formula.
Now create a rule set and select the formula that you created as the ranking method. Learn how
Create the journey capping rules and save the rule set.

Apply the rule set to the desired journeys and save them. Learn how

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NOTE
Only one rule set can be applied to a journey at a time.

All journeys that use this rule set will be ranked with the formula referencing the selected AI model when the cap is applied.

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