Adobe Real-Time Customer Data Platform

is there a way to maintain upsert count in OCM table without getting this information from source ? This is just to track how many time a record was having upsert from the upstream system. relation table has version description but it expect that value from the upstream system. any way it can maintain internally based on number of time that row was upsert ?

when we use DB viewer or any other external DB which uses AEP dataLake, the postgres credential expires in 24hr. is there a way to automatically refresh the credentials so that we dont have to reconfigure the query service connection in every 24hr?

We have a customer dataset and dataflow already set up. The data structure is set up to accommodate a one to one key-value pair; one key and one value such as gender (key) = male (value). We are looking to ingest data into RTCDP with a one-to-many relationship; i.e. one key with multiple values.Sample use case:We want to set up a key called “Products held”. There is no set number of products held for each customer. A customer could have 1 product held, or 10 or up to 100; it’s different for each customer.E.g.Customer001: products_held = product1; he has a single product held.Customer002: products_held = product5, product15, product23…and so on; he has 16 products held.Customer003: products_held = product4, product18, product30…and so on; he has 50 products held.I assume that we will need a new schema for this and perhaps a new dataset. Please advise as to how this can be set up. If there is documentation on this, please let me know.Thanks!

Hi all,is there a shortcut to the latest "profile_snapshot_export_” dataset name of the default merge policy?As I understand it, each merge policy gets a nightly snapshot dataset with a dynamically changing name. Now, to query this for instance in query templates, do you know of a simple way how to resolve this name for the (let's start simple) default merge policy?Like an alias or similar?Cheers

I have got such a condition which checks if its product page.If I use it on the product page in web browser console it works. Data element looks at follows: Then in Rules condition looks at follows: Any idea why this does not work??

In the documentation its explained that we can use response tokens like that:https://experienceleague.adobe.com/en/docs/target-dev/developer/client-side/aep/accessing-response-tokensalloy("sendEvent", { renderDecisions: true, xdm: {} }).then(function(result) { if (result.propositions) { // Manually render propositions } });I want to use Response Tokens to sent them to GA4 about Target activity My rule with Page View looks as follows and the Activities created using VEC editor and rendered automatically Sending Event with XDM structureHow to apply propositions using Actions not the custom code? Or I am supposed to use separate rule with Send Event complete? 

In order to attach ECID to my XDM Event in Web SDK its advised to use this one:https://experienceleague.adobe.com/en/docs/experience-platform/collection/use-cases/identity/id-overview#retrieve-ecid-data-prepHow to add such a thing to to upload to datastream to mapping?? 

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

What is the difference? Should I set up Core and ECID in Tags in Identity Map? Should I put ECID into Identity Map if it should be retrieved through Data Collection?https://experienceleague.adobe.com/en/docs/experience-platform/collection/use-cases/identity/id-overview#retrieve-ecid

Since its launch in early 2025, Real-Time CDP Collaboration, Adobe’s easy-to use, interoperable, and privacy-centric solution has been enabling publishers to connect with thousands of advertisers at scale and power audience discovery, activation, and outcome-based campaign measurement. Capture incremental revenue and maximize advertiser value with Adobe. With signal loss and the focus on data privacy, reaching relevant audiences has become increasingly challenging for advertisers. This presents a unique opportunity for publishers to partner with advertisers and provide rich audience insights, new activation pathways, and measurement insights through privacy-centric data collaboration. But data collaboration solutions today can be hard to scale across advertisers, operationally inefficient, and difficult to use. There is a critical need to re-think data collaboration to unlock efficient commercialization and deliver advertiser value. Why Adobe Real-Time CDP Collaboration? Access to Top

Hi everyone,  Using AEP Query Service, we have created a derived dataset by joining selected fields from the Profile dataset and the Event dataset, along with performing deduplication. The resulting data is stored in a derived dataset, which we then export to cloud storage destinations such as SFTP or a data landing zone in Azure.How can we perform this export action incrementally using Data Distiller and dataset export in Destinations?Currently, we do not have the option to export dataset files in CSV format. Can this use case be achieved by using Audiences instead, and exporting the audience in CSV format? The solution should also support incremental export. Could someone help us with the best option to achieve this?Data distiller or using Audiences  Thanks!

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

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 ?

I have got one web sdk on: xyz.comabc.comUser uses same browser. Would the user have two ECIDs?

Assume that such a dataset is enabled to the RTCP. These records would be merged?Primary Identity Identity ID_124 Secondary_124 ID_126 Secondary_124  

Hi Adobe community, Greetings!@_Manoj_Kumar_ @nnakirikanti @dhanesh04s @an1989 @renatoz28 @brekrut @ccg1706 @somen-sarkar @saswataghosh @NickMannion I had a doubt regarding a segment. The requirement was to build a segment of – “Investors who bounced from the website i.e., made no hits after the initial page view” preferably in last 90 days. And to verify this we know that Bounce rate is about 56% of the page view traffic. For this I went through two approaches –Approach A -  – Building a sequential audience where the first rule will determine Investors who have had a page view and then did not have any link click value/event. This sequence would happen in Last 90 days.   Approach B –  -  Building two audiences where 1st audience will be Investors who have had a page view event/value in last 90 days. -  2nd Audience will be Investors who have had a page view followed by having a link click event/value in last 90 days (Sequential Segment). -  3rd   Audience contains above two audiences

Live stream show details:Modern marketing is moving at the speed of a prompt. In this live webinar, Adobe product teams will showcase how Adobe Experience Platform brings agentic AI to everyday workflows—so marketers can ideate, build, and activate faster with confidence. See Audience Agent uncover audience insights and create ready-to-use audiences in minutes. Then, watch Journey Agent turn natural‑language prompts into multi‑step journeys from audience qualification to cross‑channel activation.  You’ll see how agents within Real-Time CDP and Journey Optimizer reduce the friction of delivering customer experiences at scale for both business and technical users. Date: January 28, 2026Time: 8:30 am PTCan’t make it? Sign up anyway and we will send you the recording afterward. We hope to see you there!REGISTER NOW!

 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

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