Integrate Decision Management with Adobe Customer Journey Analytics
Adobe Journey Optimizer Decision Management makes personalization easy with a central library of marketing offers and a decision engine that applies rules and constraints to rich, real-time profiles created by Adobe Experience Platform to help you send your customers the right offer at the right time.
Decision Management is part of and integrated with Adobe Journey Optimizer. It can also be used independently of journeys and campaigns defined in Adobe Journey Optimizer, using its rich API support.
You can import data generated by Decision Management to perform advanced analysis in Customer Journey Analytics by performing the following steps:
Send data from Decision Management to Adobe Experience Platform
Adobe Experience Platform serves as the central data source and link between Decision Management and Customer Journey Analytics. Data from Decision Management is collected in Experience Platform automatically or as part of explicitly sent experience events (for example impressions or clicks). See Getting started with data collection for more details.
Create a connection
Once Decision Management data is in Adobe Experience Platform, you can create a Connection based on your Decision Management datasets. Or you can add Decision Management datasets to an existing connection.
Select and configure the following datasets:
IdentityMapIdentityMapIdentityMapIdentityMap_idMatching Key:
_experience.decisioning.propositions.scopeDetails.correlationIDCreate a data view
After a connection is created, you can create one or more Data Views to configure the desired dimensions and metrics available in Customer Journey Analytics.
Configure dimensions
You can create the following dimensions in a data view to achieve approximate parity with similar dimensions in Decision Management. See Component settings in the Data View Manager for details around dimension customization options.
_experience.decisioning.propositionDetails.activity.name_experience.decisioning.containerID_experience.decisioning.propositions.scopeDetails.correlationID_experience.decisioning.propositionDetails.selections.name_experience.decisioning.propositionDetails.fallback.name_experience.decisioning.propositionDetails.placement.nameConfigure metrics
You can create the following metrics in a data view to achieve approximate parity with similar metrics in Decision Management. See Component settings in the Data View Manager for details around metrics customization options.
Feedback for message.feedback) [1]eventTypeSet Include Exclude Values: On
Match: If all criteria are met
Criteria: Equals
message.feedback_experience.decisioning.propositionDetails.selections.score_experience.decisioning.propositionDetails.fallback.score_experience.decisioning.propositionEventType.display_experience.decisioning.propositionEventType.display_experience.decisioning.propositionEventType.interact_experience.decisioning.propositionEventType.send_experience.decisioning.propositionEventType.trigger_experience.decisioning.propositionEventType.trigger[1] You can define multiple metrics for the various event types available. See Include Exclude values component settings for more information.