Build AI models create-ai-models
Journey Optimizer enables you to create AI models to rank offers based on your business goals.
Create an AI model create-ranking-strategy
To create an AI model, follow the steps below:
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Create a dataset where conversion events will be collected. Learn how
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Navigate to the Decisioning > Strategy setup menu and select AI models.
All the AI models created so far are listed.
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Click the Create AI model button.
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Specify a unique name and if needed a description for the AI model.
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Select the type of AI model you want to create:
- Auto-optimization optimizes offers based on past offer performance. Learn more
- Personalized optimization optimizes and personalizes offers based on audiences and offer performance. Learn more
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The Optimization metric section provides information on the conversion event used by the AI model to calculate offers’ ranking.
Journey Optimizer rank offers based on the conversion rate (Conversion rate = Total number of conversion events / Total number of impression events). The conversion rate is calculated using two types of metrics:
- Impression events (offers that are displayed)
- Conversion events (offers that result in clicks via email or web).
These events are automatically captured using the Web SDK or the Mobile SDK that has been provided. Learn more in the ۶Ƶ Experience Platform Web SDK overview.
accordion Optimizing models on custom Customer Journey Analytics metrics note note NOTE This capability is only available to Customer Journey Analytics customers with admin rights. Before starting, make sure you have integrated Journey Optimizer with Customer Journey Analytics in order export Journey Optimizer datasets into your default data views. Learn how to leverage Journey Optmizer data in Customer Journey Analytics Personalized optimization models are a type of AI model that allow you to define business goals and utilizes customer data to train business-oriented models to serve personalized offers and maximize KPIs.
By default, personalized optimization models use offer clicks as the optimization metric. If you are working with Customer Journey Analytics, Decisioning allows you to leverage your own custom metrics to optimize your model on.
To do this, select the Personalized optimization model type and expand the Conversion event drop-down. 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.
note note NOTE By default, metrics in Customer Journey Analytics use a “Last Touch” attribution model, which assigns 100% of the credit to the touchpoint that occurs most recently before conversion. While it is possible to modify the attribution model, not all attribution models are ideal for AI model optimization. We recommend carefully selecting an attribution model that aligns with your optimization goals to ensure model accuracy and performance. For more details on available attribution models and guidance on their use, refer to the Customer Journey Analytics documentation -
Select the dataset(s) where the conversion and impression events are collected. Learn how to create such datasets in this section.
note caution CAUTION Only the datasets created from schemas associated with the Experience Event - Proposition Interactions field group (previously known as mixin) are displayed in the drop-down list. -
If you are creating a Personalized optimization AI model, select the segment(s) to use to train the AI model.
note note NOTE You can select up to 5 audiences. -
Save and activate the AI model.
Now each time an offer is displayed and/or clicked, you want the corresponding event to be automatically captured by the Experience Event - Proposition Interactions field group using the ۶Ƶ Experience Platform Web SDK or Mobile SDK.
To be able to send in event types (offer displayed or offer clicked), you must set the correct value for each event type in an experience event that is sent into ۶Ƶ Experience Platform. Learn how