Incorporate online and offline data from brand interactions and exposures across touchpoints, including CRM, customer IDs, call centers, point of sale, IOT devices, set-top boxes, and more.
फ़ीचर्स
Customer Data Feeds
Download bulk data including user IDs, trait IDs, segment IDs and other parameters that can be used for custom analysis or modeling in external systems and brought back into Audience Manager as segments.
Extract data with no limits. Seriously.
When you work within a data management platform (DMP), you gain access to big customer data — from your own first-party data to third-party data and everything in-between. It’s all at your fingerprints. There are, however, sometimes limits to how you can use that data within the user interface of your DMP.
With a bulk download of data, like a customer data feed (CDF) file, you can work with data outside the limits imposed by your DMP. This allows you to do things like create exports for analysis or modeling and then ingest custom output back into Audience Manager as segments.
See what makes it work.
Flexible export
Raw data can be exported in a flexible manner keyed off customer IDs. Any reporting available in Audience Manager can also be easily downloaded into an Excel file.
Native functionality
Create data feeds that can be exported directly from Audience Manager without incurring extra costs or requiring customer engineering work.
Easy access
Data can be dropped in an S3 Bucket or transferred via Secure FTP directly to a customer’s in-house environment.
Learn more about customer data feeds in Adobe Audience Manager.
See what's a drop in the customer bucket.
Gain insight into all things related to customer data feeds in our FAQ.
See related features
Look-alike modeling
Extend your reach beyond your core customers and discover new, unique, high-value audiences from third-party data using our proprietary TraitWeight algorithm, powered by Adobe Sensei.
Audience analytics
Get unrivaled customer intelligence with bi-directional, real-time data transfer from Adobe Analytics. By bringing together two sources, audience analytics offers more robust, consolidated reporting that provides segment-level performance to better inform optimizations.