Adobe Real-Time Customer Data Platform

can someone give me the series of steps we need to do to update dataflow mapping. for ex: if the existing mapping for an attribute if its mapped as direct attributes from source, and now need to add a dataprep while mapping to target attribute. how can i do this using API. 

Is there a way using queryService to find the mapping of dataSetIDs and dataSetTableName using queryService ?I can try getting this from API, but what if its already available in the any of the table that can be accessed via queryService ?

Adobe Audience Agent enables marketers to transform audience creation and management from a slow, complicated process into quick and simple tasks that only take minutes. Available in Adobe Real-Time CDP and Adobe Journey Optimizer solutions, including B2B editions, Audience Agent streamlines the discovery, building, and optimization of audiences. By analyzing multiple data sources, the agent can infer intent and proactively suggest new audiences or buying groups. This makes it possible for the marketer to identify the right contacts faster, expand campaign reach, and deliver precision targeting at scale while spending more time focused on strategy and impact instead of manual data work.   Key features: Field exploration and discovery: Find and surface existing audiences and attributes with the agent to help streamline the audience creation process. Conversational audience creation: The agent will soon be able to build and refine audiences for marketers using simple, natural langu

i have seen majorly dataLake size is smaller than profile store, and in very few cases dataLake size is larger than profile store.based on my understanding, one of the reason dataLake size is comparatively is smaller bcz dataLake uses compression technique to store the data, hence the size is smaller that profile store.And if dataSet is enabled for profile, much after the data ingestion has been done already . this causes very less profile to get ingested into profile store, which causes dataLake size to be higher than profile store. Apart from above two reason, what are the other explanation for these size variance between dataLake and profile store ?I have attached screenshot for reference.

Hi All I have a question regarding the potential impact of removing a Profile Enabled Custom Class Lookup Schema. This schema has an established relationship with another Experience Event schema, which is also profile-enabled. The plan is to remove the relationship in the Experience Event schema and then drop the Custom Class Lookup dataset and schema. While it seems like a feasible technical action, I’d like to understand if there could be any negative impacts. Since the Custom Class Lookup schema does not participate in the union schema, I assume dropping it won't affect the union schema, but I wanted to double-check with the community. Looking forward to your insights! 

Hi I wanted to ask if there's a way to create an exclusion list of users in the CDP who are not activated to any available destinations. I know that I could create an exclusion list audience and apply a "not in this audience" rule for all audiences I create. But I just wanted to know if there's a better way to do that. I've seen that I can apply usage policies to audiences to prevent them from being exported. However, if the users from the labeled audience belong to another segment, nothing is going to prevent them from being exported to any destination. For this case, it would be more about excluding a group of users from being exported to any destination. ThanksRenato

We have an web event dataset which is profile enabled and ECID is an identity field. Now for record class datasets (Person, Account), we do not have ECID present . Now question is in Customer Profile store, will records for those ECID coming from Web Event Data will appear or not? 

Hi Adobe Community,   I am currently working on sending audiences to an outbound destination through RTCDP. The team that we are sending these audiences to says that it is not able to see our audience name in the file that we send them. I'm wondering if anyone knows how to add the audience name to this outbound file in the audience mapping screen when activating an audience. Is there any out of the box field for audience name?    Thanks, Nick

Everything that’s present in prfile store is also present in dataLake.Lets say there are 4 system sending event streaming data. From profile UI we can see all 4events. How can we back track it to find out which dataset they have the record entry in dataLake ?

Events in AEP are immutable, but can data distiller overwrite or delete the event record if it knows the _id value ?

We have configured the destination and mapped some attribues: The flow was as following: 1. Created a audience2. Created a profile3. Send an event that qualified the profile for the audience4. Checked the audienceMembership5. Sent a pageView via Web SDK and received this response: As you can see, there are no profile attributes, which are populated in the Hub profile:  P.D. We are trying the Edge Network API call in the DEV Sandbox, just in case it is relevant. 

My company wants to send a monthly survey to a defined random subset of customers - I tried Profile Composition but couldn't get a small enough audience.Here's my criteria:Monthly random sample of customersSample of customers is <1% of eligible profilesThanks!

I see there is a native conector in AEP/CDP to Campaign, so you can send audiences to Campaign.However, I also encountered this doc where it says that you can query a segment and export that to Amazon S3 , from where Campaign can import that with a Import Workflow.So, do we need an Amazon S3 bucket or is the native conector enough?

How do we design and discover audiences which should be federated? Federated Audience Composition (FAC) enables the use of audiences built from decentralized data residing outside the Adobe Experience Platform (AEP) alongside those created with data residing inside AEP. It makes previously inaccessible enterprise data in warehouses actionable in engagement workflows, by creating new audiences and enriching existing audiences without the need to copy the underlying raw data into AEP. Deciding what data should be federated versus ingested is crucial to unlocking the full potential of Federated Audience Composition (FAC). A comprehensive plan of which data sets should reside in  enterprise data warehouse vs those in AEP will help accelerate implementation of use cases and time to market. This is where Addressable and Engageable Audience Maps, a structured approach to discover and design audiences come to the rescue. Before diving into Audience Maps, let's distinguish between addressa

Hi Community, Is there a way in the RTCDP UI or Query Service to see what audiences an attribute is a part of? Thanks!

RTCDP profile collapse due to shared devices represent some of the most complex challenges in the fields of Analytics and Personalization. Virtually every business leveraging digital platforms for personalization had to confront this issue at some stage. In simple terms, profile collapse occurs when two different users share the same device to browse a website—for example, family members at home or colleagues on a common office computer. Since both sessions generate the same ECID, the RTCDP identity graph links their profiles together. As a result, personalization content meant for one user may be incorrectly shown to the other. Here are a few examples of how profile mix-ups can lead to the wrong content being shown to users: A wife sees credit card offers meant for her husband. You start seeing hotel deals for a destination your colleague booked a flight to.          Adobe has introduced few workarounds to address this challenge, though each comes with its o

Hi, everyone.I have a use case where I need to wait for the RT CDP Profiles to be stitched or merged before using them in an AJO Journey. While I wait for this to happen, I need to minimize the waiting time, which is currently over 40 minutes. I'm wondering if this is the best approach and what the ideal waiting time should be, based on real-life experience and guardrails.

Getting Started with Adobe Real-Time CDP Collaboration Adobe Real-Time CDP Collaboration enables advertisers and publishers to safely and efficiently collaborate on audience data, powering more effective and privacy-centric marketing campaigns. If you're new to Real-Time CDP Collaboration, this guide will walk you through the first steps and provide helpful resource links so you can hit the ground running. 1. What is Real-Time CDP Collaboration?Real-Time CDP Collaboration is a platform that provides brands and publishers a secure environment to:Discover, activate, and measure high-value audiences,Collaborate with partners without exposing underlying customer data,Create joint marketing campaigns that deliver shared messages,And always operate with privacy best practices.Learn more about Real-Time CDP Collaboration’s capabilities and benefits in the official overview here. 2. Access and Permissions: The PrerequisiteBefore you can begin, system administrators must grant ap

We have a use case to schedule a dataflow with ~10M records to a profile enabled dataset for 2-3 times a week. Since its a huge dataset what would be the impact of ingesting this on our sandbox? Just to clarify, we’re not introducing new profile attributes each time—this is simply an increase in the frequency of dataset refreshes. Would this change in frequency affect our storage capacity, export processes, etc