Adobe Real-Time Customer Data Platform

When a new field is introduced in the event schema after it already been enabled for the profile and have the data ingested, how do we ingest the historical data for newly introduce field ? Some of the solution i could think of are, option1) One approach I am ware is create a new dataSet with primary key and new field, and then use that dataset to ingest both historical and incremental data. however this approach may not be scalable. if we introduce new field every quarter, then it would lead to multiple datasets.option2) Wipe out historical data from the dataset by deleting the batch which had ingested that historical data, and re-ingest the data with all attribute. this is time consuming, and can disturb existing prod setup. option3) use data distiller to backfill the historical data. can that be done technically as event based schema class doesnt support upsert? Are there any best recommended approach ?

 Can you please let me know if there is an option to create an audience as batch evaluation and publish it, wait for the audience evaluation job to run, once it is evaluated one time, is there a way to stop further evaluation but still have the audience available for activation to destination, and use it in other audiences.  

I have created the following schemas for a B2B RT-CDP usecase:(1) individual profile schema for person level demographics(2)Business account schema(3)XDM Business Account Person Relation schema which links 1 and 2(4)One event dataset at person level(5)Another event dataset at account level. This has multiple event records aggregated at account level, with timestamp field. There is no person level field. For dataset (5), should we use account id as the primary identity? Will it create issues with identity graph because other datasets are at person level? If not, how to still use this dataset for RT-CDP segments? Since primary identity is  mandatory to enable profile.

lets say i have primaryemailid as an attribute in the profile. i want to make an upsert or overwrite on that dataset. but before i do that, i want to trace which dataset contributed to that attribute in profile store. how do i find that dataset ?

When we profile enable a Schema and Dataset from Marketo, all the data ingested into it is included in profile. But we have data quality issues in Marketo due to which do not want to include all the data into Profile, only certain data matching few qualified campaigns should be included into profile. Marketo doesn't support row level filtering for Individual Records data. Is there any easier way to achieve this?

lets say there is a requirement that any data that is exported out from AEP to any destination, that data should also be exported into inhouse datawarehouse for audit purpose. Now instead of marking every audience activation at two destination manually, is there a way better way to do it sandbox level so that every export automatically gets exported into inhouse datawarehouse as well ?

This is the array of object field in AEP schema{   "model":[      {         "modelName":"PRP_TRIGGER_1Y_14DLAG",         "modelScore":0.1243792474269867,      },      {         "modelName":"PRP_60D_LAPS_1Y_REV1",         "modelScore":0.7769704461097717,      },{         "modelName":"PRP_SALON_TRIGGER_1Y_15DLAG",         "modelScore":0.1443792474269867,      }   ],   "sysIdentifiers":{      "mId":"3646278"   }} How can we create an audience by specifying the condition from specific index ?lets say list of all customer where on 2nd index of the model objec

Hi everyone,I am working on a use case in Adobe Journey Optimizer (AJO) and need some clarification around consent enforcement for transactional emails.Use Case: We want to send transactional emails (e.g., purchase confirmations) to all guests who have completed a transaction and for whom we have valid email addresses. These emails are service-related and not promotional. However, some of these guests may not have explicitly opted in to receive email communications.Question: Is it possible to configure AJO to send transactional emails without enforcing the consent flag—i.e., to send emails to all transacting guests with email addresses, regardless of their marketing consent status?Additional Context:The emails will contain transaction-specific details.We are not using these emails for marketing purposes.We want to ensure compliance with Adobe’s consent policies and best practices.If anyone has experience with this setup or can share some configuration tips, I would really appreciate it

when we execute a query, is there a away to find if query used regular QS vs data distiller ? 

In 2021, we introduced Segment Match to enable the sharing of audiences between and within Adobe Real-Time CDP customers. In early 2025, we took a significant step forward with the launch of Adobe Real-Time CDP Collaboration a simplified, interoperable and privacy-centric audience collaboration application that empowers any two entities, from brands to publishers to media networks, to work together discover, reach and measure their audiences. Real-Time CDP Collaboration, embedded within Real-Time CDP, will be Adobe’s long-term approach to provide customers with data collaboration capabilities.      What you stand to gain by adopting Real-Time CDP Collaboration for your collaboration needs: Improved and Simplified Collaboration Experience: Leverage Real-Time CDP Collaboration's easy to use workflows to discover partners, identify audience insights, activate and measure. Action on New Use Cases: Benefit from actioning

Real-Time CDP Collaboration Release These release notes cover what's new in Adobe Real-Time CDP Collaboration.  August 2025 Real-Time CDP Collaboration is now available to customers in Canada. It is automatically available to Real-Time CDP Prime and Ultimate customers in these regions. Collaboration now supports the following match keys: Hashed email Hashed phone number CRM ID Loyalty ID Hashed IPv4 AdFixus ID Multiple match keys are now available across Collaboration, giving you the ability to expand your audience size and improve match rates. Multiple match keys can be used when sourcing audiences, establishing connections, and activating audiences. The Adobe Experience Platform destination now supports activating audiences with multiple match keys. Additionally, you can now used a linked key when configuring your destination’s mapping to specify which match key is sent during activation.  Collaborators can now edit multiple audiences at once. You can no

How can I use the Inlet ID for debugging purposes for streaming/edge ingestion done via postman APIs?

Hi All, We are currently working on a B2B use case where some individuals may have both customer and partner account types. In certain cases, these profiles may share the same email address, Marketo person ID, or account ID. However, our requirement is to keep these profiles separate and avoid stitching them together, even when the identities (email or Marketo person ID) overlap.Given that we are using email ID and Marketo person ID as our primary identifiers,secondary identifiers could you please advise on the best approach or configuration to ensure that customer and partner profiles remain distinct in our system?Thank you for your guidance.FieldDuplicate 1 (Customer)Duplicate 2 (Partner)ECID12341234EmailCDP_DedupeTest4@wd-test.comCDP_DedupeTest4@wd-test.comFirst NameBobBobLast NameSmithSmithCompanyXYZXYZAccount TypeCustomerPartnerAccount Id9999911111SFDC Id123XYZ321ABCPerson Id12121213434343Marketo FiltersCustomers OnlyPartners OnlySample record

Hi there, I would like to write "Adobe Real-Time CDP Business Practitioner Professional (AD0-E602)" certification, which Voucher should I buy to schedule this exam.  Thanks,Siva Akurati

segmentation job API, only returns the count of profile. how do i get the details of those profile, which got qualified after a particular segment job rans ? https://experienceleague.adobe.com/en/docs/experience-platform/segmentation/api/segment-jobs 1) when we execute the flexible audience which gets evaluated right away, but profile snapshot is only available next day. So without waiting for next day, how can we find list of profile that qualified under that audience ? 2) when we built streaming audience, without waiting for next day, how can we find list of profile that qualified under that audience ? 

Hi, If we receive ECID as one of the fields from the source data (CSV file from the cloud storage source), what is the best approach to include this ECID in the existing Experience Event schema?Should we add it as a string field in one of our existing custom field groups, since there is no option to include it under the identityMap?Note: We already have a primary identity (e.g., CRMID) in the Experience Event schema, and this schema is not enabled for Profile, as we are using it only in CJA and not in RTCDP. Therefore, we would like to add ECID and use it as a secondary identity to enhance graph-stitching capabilities.Please suggest the best way to add ECID in this scenario. Thanks!

How do i create AEP audience where customer is having attributeA=123 as well as attributeA=234. attributeA is string(NOT an array) as part of event attribute and customer can have multiple event having different attributeA values.

AEP audience based on Adobe Analytics clickstream data into AEP event-time series based schema. SKU can be part of any shopping cart events (prodView, OpenCart, cartView, CheckOut etc)How do we create a segment for customer having SKU=ABC as part of prodView in their latest event for that SKU ? Here are the sample example of customer events sorted in time ascending order:Customer 1Time1: SKU=ABC, ProdViewTime2:SKU=ABC, OpenCartTime3:SKU=XYZ, ProdViewTime4:SKU=DEF, ProdViewTime5:SKU=DEF, OpenCartTime6:SKU=ABC, ProdViewTime7:SKU=PQR, ProdViewTime8:SKU=PQR, cartViewTime9:SKU=PQR, CheckOut Customer 2Time1: SKU=ABC, ProdViewTime2:SKU=ABC, OpenCartTime3:SKU=XYZ, ProdViewTime4:SKU=DEF, ProdViewTime5:SKU=DEF, OpenCartTime6:SKU=ABC, ProdViewTime7:SKU=ABC, OpenCartTime8:SKU=XYZ, ProdViewTime9:SKU=PQR, cartViewTime10:SKU=PQR, CheckOut In the Above example, customer 1 should qualify as the latest status for SKU=ABS is prodView on time6.However customer 2 would dis-qualify as th

Hi all, I have an urgent request and would appreciate a quick response. We need to expire or delete old records from both individual profile and custom class datasets in AEP. The records should be removed from both the Profile Store and the Data Lake, and this process should be automated on a schedule - for example, deleting any records older than 30 days. How can this be done in AEP? My understanding is that the data retention policy only works for experience event datasets. Thanks

is there an API to query "select * from datasetName" or any other complex query to get the response of SQL result ?

Hi all, we would like to create a cart abandonment email that shall be triggered from RT-CDP to Campaign v8 if the user started the checkout (commerce.checkouts event) but did not purchase (commerce.purchases) within x minutes.  So far, the audience definition is straight forward and also shows profiles qualified for it.Now, we could like to send an email out to the cart abandoner. Since the audience contains Profile information but not Experience Event data from the checkout event, what is the best approach to get this crucial data over to v8? Also, the Campaign destinations all seem to work as batch exports with a minimum frequency of 3 hours. Is there any way to stream this information as soon as a Profile newly qualifies for the audience?

can data distiller delete a record form profile store event-time series dataset if we provide the 1000s of _id values as part of batch every day ?

Are there better/simplified explanation for these guard rails ? https://experienceleague.adobe.com/en/docs/experience-platform/profile/guardrails 1) A maximum of 5 multi-entity relationships defined between primary entities and dimension entities is recommended. Additional relationship mappings should not be made until an existing relationship is removed or disabled. 2) The optimal array cardinality in a profile fragment (time-independent data) is <=500. 3) The optimal array cardinality in an ExperienceEvent (time series data) is <=10. 4) The maximum number of identities in an Identity Graph for an individual profile is 50. Any profiles with more than 50 identities are excluded from segmentation, exports, and lookups. We have learned that AEP have mechanism of auto deleting the Identities based on priority once the 50 count is exceeded. Does it mean even though the Identities never exceed 50, as they keep on deleting, it would still be execluded from segmentat

 using marketo engage source connector, creating a dataflow, there is a toggle button "sample dataflow". As per the documentation it says that this toggle button helps to restrict historical data and can be used for testing purposes.  But is there any impact on handling incremental data with this toggle button. meaning does it restrict amount of data being processed incrementally when this toggle button is enabled?

Use this thread to ask any questions related to the Experience League LIVE session titled, "Next-Gen Customer Experiences & Efficiency with Adobe Experience Platform Agent Orchestrator."   Experts are monitoring this thread to ensure your questions are answered. Thanks and we hope to hear from you!