@Viwuwei I don't think so there's a direct method to augment customer profiles in AEP with Meta ad engagement data. However, you can extract this data into a cloud storage solution, perform the necessary ETL processes, and identify the appropriate identity signals to stitch the data with existing pr...

Hi @ribhubanerjee  - Using production data in a development sandbox is a common practice for clients to ensure that all AEP functionalities, such as segmentation and activation, work correctly before going live. This exercise typically involves batch data and does not impact any ongoing work. Howeve...

Hi @eldred  - Your question is absolutely valid and surprising to everyone. When I went back and checked, here is the information: according to the recent AEP release and XDM changes, all new string fields are given a minimum length of one by default. Previously, no length was set for the string dat...

Hi @bjoern__koth  - Please find the below adobe documentation for the query schedule. We can use any functionality that can simplify our query to calculate the age based on the DOB field, make sure to create new profile enabled dataset which can be updated every week. Below is the high level syntax ...

Hi @ParthMo1  - Based on the sample data that you have shared, seems those fields are supposed to be a object array where it will avoid the data overriding and inject all the necessary values for a single profile. Below is the ideal way that can be created in schema along with other required fields ...

Hi @bjoern__koth  - The below thread has an enough conversation to understand on the age calculation, please have a look. My own suggestion is to calculate before it is coming in to the platform, the more you utilize the mapping functionality then the more latency may occur. Also, as suggested havin...

Hi @JettyRo  - There is no automatic or scheduled workflow that can downmerge the dataflow mappings in AEP. However, below are the suggestions that can work bit effectively. 1. Use the same mapping payload that have been used for the PROD ingestion. 2. Use the "Import mapping from flow" or "Import m...

Hi @Abhishekch20  - My understanding is that on a "Define goal" section we will be filtering the profiles based on the certain predictive condition with specific "Timeframe". So, this might be one of the reason that it could utilize only the necessary records to process the churn prediction. Moreove...

Hi @Michael_Soprano  - My understanding is that FAC is primarily used to enrich profiles by connecting our external database with a specific workflow. It doesn't make sense to get FAC without RT-CDP, as it works more effectively when paired with RT-CDP to unlock more personalized use cases. I even s...

Hi @Michael_Soprano  - My interpretation is that since the user has been assigned admin privileges, they now have more rights, including functionality X and functionality Y. If we remove the user from Role One, they will only have access to functionality X and functionality Y.Thank you,Jayakrishnaa ...