Adobe Journey Optimizer helps you deliver connected, contextual, and personalized experiences. It helps expose your customers to the next step in their customer journey.
You can import data generated by Journey Optimizer to perform advanced analysis in Customer Journey Analytics by performing the following steps:
Send data from Journey Optimizer to Adobe Experience Platform
Adobe Experience Platform serves as the central data source and link between Journey Optimizer and Customer Journey Analytics. See Get started with Datasets in the Journey Optimizer user guide for steps on how to send Journey Optimizer data to Platform as a Dataset.
Create a connection in Customer Journey Analytics
Once Journey Optimizer data is in Adobe Experience Platform, you can Create a connection based on your Journey Optimizer datasets. Or you can add Journey Optimizer datasets to an existing connection.
Select and configure the following datasets:
Dataset
Dataset type
Connection settings
Description
AJO Message Feedback Event Dataset
Event
Person ID: IdentityMap
Contains message delivery events, such as ‘Sends’ and ‘Bounces’.
AJO Email Tracking Experience Event Dataset
Event
Person ID: IdentityMap
Contains email tracking events such as ‘Opens’, ‘Clicks’, and ‘Unsubscribes’.
AJO Push Tracking Experience Event Dataset
Event
Person ID: IdentityMap
Contains push tracking events such as ‘App Launches’.
Journey Step Events
Event
Person ID: _experience.journeyOrchestration. stepEvents.profileID
Contains events showing which profiles participated in each node of the journey.
Contains classifications that associate Journey and Campaign metadata to all Adobe Journey Optimizer event data.
Configure the Data view to accommodate Journey Optimizer dimensions and metrics
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.
NOTE
Data discrepancies between Adobe Journey Optimizer and Customer Journey Analytics are typically less than 1-2%. Larger discrepancies are possible for data collected within the last two hours. Use date ranges excluding today to mitigate discrepancies involving processing time.
Configure dimensions in the data view
You can create the following dimensions in a data view to achieve approximate parity with similar dimensions in Journey Optimizer. See Component settings in the Data View Manager for details around dimension customization options.
You can create the following metrics in a data view to achieve approximate parity with similar metrics in Journey Optimizer. See Component settings in the Data View Manager for details around metrics customization options.
Metric
Description
Schema element
Component settings
Bounces
The number of messages that bounced, including both immediate bounces and bounces after delivery.
Component type: Metric Include exclude values: Equals unsubscribe
Edge Sends
The number of times the edge network sends a message to either the Web or Mobile SDK
Use the schema string element _experience.decisioning.propositionEventType.send
Inbound Displays
The number of times a Web or InApp message is shown to the user
Use the schema string element _experience.decisioning.propositionEventType.display
Inbound Clicks
The count of Web or InApp message clicks
Use the schema string element _experience.decisioning.propositionEventType.interact
InApp Triggers
The number of times the decisioning engine suggested the message should be displayed. The Mobile SDK could override the decision reducing the number of actual displays.
Use the schema string element _experience.decisioning.propositionEventType.trigger
InApp Dismissals
The number of times an InApp message is removed from the UI by the SDK
Use the schema string element _experience.decisioning.propositionEventType.dismiss
Configure calculated metrics in Analysis Workspace
Once you have configured the desired dimensions and metrics for the Journey Optimizer dataset, you can also configure Calculated metrics for additional insights around that data. These calculated metrics are based on the above metrics created in the Data View Manager.
Calculated metric
Description
Formula
Messages Sent
The total number of messages sent. Includes successful or failed messages.
