Documentation Customer Journey Analytics Customer Journey Analytics Guide

Data feeds overview

Last update: October 21, 2026

Topics:
Components

CREATED FOR:

Admin
User

AVAILABILITY

The functionality described in this article is in the Limited Testing phase of release and might not be available yet in your environment. This note will be removed when the functionality is generally available. For information about the Customer Journey Analytics release process, see Customer Journey Analytics feature releases.

Data feeds export raw, event-level data from Customer Journey Analytics to a cloud destination. You can use this data in other platforms outside of Adobe, such as a data warehouse.

Data feeds are built from the components in a data view. Each dimension and metric that you include becomes a column in the data feed, and data view settings such as persistence, derived fields, and segments are applied to the data. Files are delivered in Parquet format.

You can create the following types of data feeds:

Live feeds: Export current and future data hourly or daily. Each delivery is sent after the hour or day ends and the processing delay has passed.
Backfill feeds: Export historical data for a past date range.

For a comparison of data feeds against other Customer Journey Analytics export methods, such as Full Table Export, see Analytics product comparison.

Prerequisites

Make sure that you meet all the following requirements before using data feeds:

Data is being ingested into Customer Journey Analytics, and a connection and data view are configured.
Your account is a Customer Journey Analytics product admin, or belongs to a product profile with the Data Feeds permission (in the Data View Tools category) for the data view that you want to use. For more information, see Access control.
A cloud export account and location are configured for Amazon S3, Google Cloud Platform, Azure RBAC, or Azure SAS. For more information, see Configure cloud export accounts and Configure cloud export locations.

TIP

Because changes to components in a data view affect every data feed that uses it, consider creating a data view that is used only for data feeds.

Advantage: Reduces the risk that changes made for Analysis Workspace reporting unexpectedly change your data feed output.
Disadvantage: You must maintain the additional data view alongside your other data views.

Get started

Use the following articles to plan, migrate, and create your data feeds.

Plan your data feeds

Compare data feeds in Customer Journey Analytics and Adobe Analytics: Understand differences in features and concepts if you previously used Adobe Analytics data feeds.
Understand data discrepancies between data feeds and Analysis Workspace: Learn why data feed output might not match reports in Analysis Workspace.
Component availability in data feeds: Learn which dimensions and metrics are required, unsupported, or restricted in data feeds.

Migrate from Adobe Analytics data feeds

Prepare to map data feed columns: Understand the factors that affect how Adobe Analytics columns map to Customer Journey Analytics.
Map Adobe Analytics data feed columns to Customer Journey Analytics: Find the Customer Journey Analytics equivalent of each Adobe Analytics column that you want to keep.

Create and configure data feeds

Create a data feed: Choose components, configure the schedule, and set up delivery.
Segmentation in data feeds: Apply segments to filter the data in a data feed.
Apply data transformations: Transform data by using component settings, derived fields, or SQL.
Sub-event components in data feeds: Learn how components from arrays and maps are exported and how to query them.

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