Adobe Experience Platform can deliver your audiences as data files to your cloud storage locations. This enables you to send audiences and their profile attributes to your internal systems, via CSV files for Amazon S3, Azure Blob, Azure Data Lake Storage Gen2, Data Landing Zone, Google Cloud Storage, and SFTP. For Amazon Kinesis and Azure Event Hubs destinations, data is streamed out of Experience Platform in JSON format.
Adobe Experience Platform supports data exports to the following cloud storage destinations:
To send audiences to cloud storage destinations for your campaigns, Platform must first connect to the destination. See the destination creation tutorial for detailed information on setting up a new destination.
The functionality described in this section is available for all cloud storage destinations. However, the Amazon S3 destination currently only supports the %SEGMENT_ID%
and %SEGMENT_NAME%
macros.
To create a custom folder per audience file in your storage location, you can use macros in the folder path input field. Insert the macros at the end of the input field, as shown below.
The examples below reference a sample audience Luxury Audience
with ID 25768be6-ebd5-45cc-8913-12fb3f348615
.
Macro 1: %SEGMENT_NAME%
Input: acme/campaigns/2021/%SEGMENT_NAME%
Folder path in your storage location: acme/campaigns/2021/Luxury Audience
Macro 2: %SEGMENT_ID%
Input: acme/campaigns/2021/%SEGMENT_ID%
Folder path in your storage location: acme/campaigns/2021/25768be6-ebd5-45cc-8913-12fb3f348615
Macro 3: %SEGMENT_NAME%/%SEGMENT_ID%
Input: acme/campaigns/2021/%SEGMENT_NAME%/%SEGMENT_ID%
Folder path in your storage location: acme/campaigns/2021/Luxury Audience/25768be6-ebd5-45cc-8913-12fb3f348615
Further macros
Similar to the examples above, you can use further macros to create a custom folder structure in your folder location:
%DATETIME%
or %TIMESTAMP%
to add a custom folder name based on the export time of the files. The format for the first macro is MMDDYYYY_HHMMSS
and a UNIX 10-digit format for the second macro.%DESTINATION_NAME%
to add a custom folder based on the name of the destination dataflow.Cloud storage destinations support the following export types:
After selecting which one of the supported cloud destinations you would like to use, read the connect to destinations tutorial to learn how to establish a connection to the destination. Then, read the activation tutorial to file-based destinations to learn how to start exporting data to your cloud storage destination.