We offer extended storage, data reprocessing, and reporting capabilities for customer data in our data warehouse. And our data feeds deliver batched raw data on a recurring daily or hourly delivery schedule.
There are many ways to use the data you collect. Analyzing it with tools like Analysis Workspace is one way, but often you want to take the raw data and export it for more complicated uses, such as remarketing, attribution, or propensity scoring. Or sometimes, you simply want to store it for archiving or longer-term analysis.
With our data feeds, you can streamline data delivery from your websites, mobile apps, or other online sources directly into a data lake or other storage location such as Microsoft Azure. And with our data warehouse, you can export and store massive amounts of data without any extra work.
Process an unlimited number of data rows in a single request for individual scheduled and downloaded reports.
Configure and manage data feed requests and change existing feeds as needed.
Monitor the status of all data feed jobs, check for proper delivery, and rerun them as needed — all from one place.
View this webinar to learn about advanced data feed use cases and comparisons for Adobe Analytics.
See what you can do with data feeds in this tutorial on the data feeds management UI.
Visit the Adobe Experience Cloud Help page on the data warehouse for details on directions, best practices, FAQ, and more.
Check out our Adobe Experience Cloud Help page on data feed best practices, functions, troubleshooting, and more.
A machine-learning approach to assigning attribution values across the different channels of a successful conversion event. The attribution analysis automatically assigns weight to the most important touches and provides a best-fit model per channel based on your customers’ actual interaction patterns.
Our robust set of triggers let marketers identify, define, and monitor key consumer behaviors, and then generate cross-solution communication (e.g., email) to re-engage visitors.