Adobe Experience Platform

we are trying to create a destination sdk to swoogo faccing issue which authentication type to use had tried OAuth 2 with Client Credentials Grant it is not working please suggest what kind of customerauthentication to be used for these destination .below for swoogo request api token for refernce :https://swoogo.readme.io/reference/post_oauth2-tokenSwoogo Api:https://swoogo.readme.io/reference/updatecontactthese was used in our config json it was not working: "customerAuthenticationConfigurations": [   {      "authType": "OAUTH2",      "grant": "OAUTH2_CLIENT_CREDENTIALS",      "accessTokenUrl": "https://api.swoogo.com/api/v1/oauth2/token",      "clientId": "XXXXX",      "clientSecret": "XXXXXXXXXXXXXX",      "options": {        "useBasicAuth": true      }    }    ],

Hi ​@Asheesh_Pandey , ​@jachlt , ​@Parvesh_Parmar , ​@SantoshRa5 I’m looking for guidance on how to backtrack and analyze excluded identities during exports in  AEP. Currently, we don’t have any mandatory fields or consent labels configured, so I’m unsure what might be causing these exclusions.Are there other factors or checks we should be considering that could lead to identities being excluded? Additionally, how can we effectively trace back and understand why certain identities are not included in the export?Any insights or suggestions would be greatly appreciatedhttps://experienceleague.adobe.com/en/docs/experience-platform/dataflows/ui/monitor-destinations#dataflow-runs-for-batch-destinationsThak​​​

How can I map an array of date strings coming from the Adobe Analytics source connector into an XDM array field with dateTime datatype in AEP Data Prep? Since we cannot transform it upstream, does Data Prep support element-wise date conversion for array values, or is post-ingestion processing required?

Hi all,we are using the “Device Lookup” feature in our datastreams.In addition to Adobe’s lookup data, we would still like to receive the _actual_ userAgent string from our Web SDK calls.Now we noticed, that when we set it through Launch in `environment.browserDetails.userAgent`, it seems to be reset by Adobe, and in CJA we always see “No value”.Interestingly, Assurance shows that the value is present in the hit, but whatever happens from there on is not really understandable and the final result not logged in Assurance.I mean, I get that the radio button indicates you can have either user agent / client hints OR device lookup.But if the device lookup does not populate/overwrite that field, why is it resetting it then? Does anyone knowwhy this is? a way to figure out the final processed request payload within Assurance?  

Greeting Adobe Community! I am observing the following error code  UPINGT-030024-424 An error occurred while processing the batch. Please contact support.  and here are the details of the error - “The XID cannot be generated for code userId.XID generation failed for nsCode = {code}, nsId = {id}” I am getting similar error messages in the AJO Push Profile Dataset while testing push notifications for different fields where all ingestions are failing due as XID cannot be generated. Has anyone faced the same? Any guidance and support would be really appreciated.  Thanks,Sambit

Hi Everyone, I’m new to Web SDK implementation, and I’ve noticed that an upgrade is available for the web sdk extension. If we proceed with the upgrade, will it have any impact on the existing rules and data elements?Also, could you confirm whether the extension needs to be upgraded separately in each environment, or if upgrading it in a lower environment makes it available in the library for validation across environments?I’ve gone through the release notes, but wanted to double-check—are there any potential risks or issues we should be aware of during or after the upgrade?

I regularly check the CJA release notes for updates and fixes using the link provided. However, I am trying to locate the descriptions and details for the ticket numbers listed in the ‘Fixes for Customer Journey Analytics’ section. In the past, I have opened several support tickets, but my tickets begin with ‘E-’, while the ones in the fixes section start with ‘AN-’. Can you help me understand where to find the information for these 'AN-' tickets?https://experienceleague.adobe.com/en/docs/analytics-platform/using/releases/latest#fixes-in-customer-journey-analytics

Exited to host this even with Adobe AEP Product Manager.Join us for this virtual session where Adobe Product Manager will showcase the latest upgrades, features, and best practices for B2B use cases in Adobe Experience Platform and connect directly with Adobe experts and network with fellow professionals.Event is scheduled on June 24, 2026 at 3 PM CST.Register here: https://bit.ly/4g5Sp0r

We are about 18 months into a mature AEP + RTCDP implementation and have crossed 400 active segments across business units. We are starting to see non-trivial evaluation latency on streaming segments during peak ingestion windows and our architecture review flagged segment sprawl as a likely contributor.Adobe's documentation sets technical limits but doesn't offer much guidance on the operational governance model to prevent getting there particularly in a large enterprise where multiple teams (CRM, digital, paid media, product) all have write access to the segment builder.A few things I'm genuinely curious how others have solved:Do you enforce a segment approval workflow before publish to production, and if so, is that a process control or is there a technical gate you've built?   How do you handle segment ownership when the original creator has left the team? Orphaned segments with no owner are our single biggest hygiene problem. Have you seen a material performance difference between

Is such a dataset created for every specific merge policy created in the sandbox?

I was recently setting up a webinar campaign in Marketo and noticed registration numbers looked a little higher than expected. (In an ideal scenario, I should be happy about it, but contrary to it, I was skeptical!) When I dug into the records, I found that some attendees already existed in the database. Instead of updating those records, a few were being created as new leads because the data from the webinar platform didn't consistently match.What surprised me was how normal the situation was. Nothing was broken. The integration was working. The records just looked different enough to be treated as new people.It reminded me that duplicate leads often come from everyday marketing activities rather than major system issues.Lately, I've been thinking more about preventing duplicates before they enter Marketo instead of cleaning them up later.Some teams handle this with validation rules, while others use Marketo deduplication tools to help standardize and match records earlier in the proc

Hi ​@Community I created two fields in a profile-enabled dataset : customer_id (primary string) and customer_number. The dataset is enabled for Profile and upsert. Both attributes are visible in the XDM union schema and in the Profile UI. However, after running the ProfileSnapshot job, the new attribute customer_number does not appear in the ProfileSnapshot dataset and is therefore not available for export. The customer_id (primary attribute) is available in other datasets as well and helps in stitching..I have verified the dataset and it contains values for customer_number and same is visible in profile UI. Please assist in finding why the profilesnapshot dataset is not getting populated with the new attribute from profile enabled dataset.

I have got the profile which has 30x profile attributes. It recently authenticated. Why the profile attributes are not propagated to EDGE? How to do that? I need to use them in AJO or AT and then these would be available on EDGE? 

Adobe Experience Platform provides the foundational capabilities for collecting, unifying, activating, and analyzing customer experience data. But practitioners involved in implementation, production support, QA, migrations, and ongoing enhancements often need to move quickly between Query Service, dataset previews, Real-Time Customer Profile lookup, audience validation, and ingestion workflows.That day-to-day investigation can become difficult when business stakeholder question that requires more than a sample preview or a high-level UI view. Often, it is required to inspect a specific profile with hundreds of its attributes and events, extract and deep dive into a specific dataset, not just a preview and investigate all the profiles included in an audience, a capability not available in current AEP UI. In many cases, the question is not simply whether data exists, but whether the right data exists in the right place and can be validated efficiently.I faced these same challenges while

Is there any way for us to view the logs for all the events shared by the Adobe Event Forwarding service? Thanks,tyrese

We currently don't have any Prospect records in our Production sandbox. We only have clients (Client dataset and Schema, a Dataflow that ingests client data) and a Web Event DS (that collects web interactions). Our sales cycle is long, possibly up to 6 months or more from awareness to conversion.Use case: Ingest Prospect data from website contact form and retain data for 6+ monthsIn January 2026, John Smith uses the website to fill out a form to contact one of our associates. Nothing in AEP is currently set up when this happens other than his pseudo-identifier is collected. There is no persistent/reliable identifier such as CRM ID or any other known ID. In July 2026 (six months later), John becomes a client. He is assigned with a CRM ID, which is a valid identifier in the Client Dataset. His profile will now exist and his profile attributes will be ingested.We would like to know what actions John did on the website before he became a client; e.g. he read articles, he searched for an as

 We are running multiple social media campaigns and want to better understand how to track engagement, traffic sources, and conversion behavior more effectively. I’m particularly interested in how Adobe Analytics can be used to evaluate which content strategies are driving the most engagement and audience growth across platforms like Instagram and TikTok.Are there recommended dashboards, reports, or setup approaches that work well for this kind of analysis?

I have the sales opportunity where I would like to present Computed Attributes. However I have got some problems.Event is present on a profile. This one is fine  Event which is sent from Web SDK to AEP looks as follows:events[0].xdm.reservations.flightReservations[0].flightStatusSearch.arrivalAirportCodeThe same attribute in Compute Attributes has a path like that: reservations.flightReservations.departureAirportCodeIn Computed Attributes you need to choose from pre-defined paths. Its not possible to paste your own exact one:Why it does not work? I created multiple versions - in last 1h, 1day etc. Still does not work :))))I have AEP Architect certifications so I know AEP basics :)

Hi,I am trying to write a script in LiveCycle Designer and it is not working.  I need help please. I have a table with columns and rows that sum.  That part is working fine.  I wrote the following script and the column is adding but not doing any of the rest of it.  I am trying to get one box to sum except when it matches a sum in another box.  When it matches that sum I need the sum to change to the word “Clear.”  Here is my script:if (Row9.Cell21.rawValue == "Row8.Cell19") thenRow9.Cell21 = "CLEAR"elseRow9.Cell21 = Sum(Row1.Cell21 + Row2.Cell21 + Row3.Cell21 + Row4.Cell21 + Row5.Cell21 + Row6.Cell21 + Row7.Cell21)endif The row and cell title/numbers are correct and they do sum as supposed to.I would really appreciate any help.  I have it set to Show: Calculate and Language: FormCalc the Run at: Client.

If you've been following Adobe Summit, you'll have seen the announcement of Adobe Data Engineering Agent, a purpose-built Adobe Experience Platform Agent powered by Experience Platform Agent Orchestrator. While the official blog covers the vision well, I want to share more on what it unlocks for your workflows your Adobe stack.  What it's built to doData preparation is high-value but time-intensive, often delaying downstream activation. Adobe's AI & Digital Trends Study found 75% of organizations cite data integration and quality as their top AI implementation challenge. Data Engineering Agent addresses this with an AI-guided, human-in-the-loop approach that automates operational steps across the data lifecycle, so you can focus on higher-value decisions. How it plays out across your stackAdobe Experience Platform: Faster, more confident data onboardingData Engineering Agent extends Experience Platform’s data ingestion strength by making the onboarding process more guided and autom

Hi Team,What is the best option to monitor Web SDK calls and Adobe Analytics calls on public websites and send notifications whenever issues are detected? Any ideas, tools, or reference implementations that would be helpful? Thank you

Hello everyone,I’m trying to create an Audience consisting of visitors to our website who went to a certain section of our site at least twice in the last 30 days.To create it, I created two identical Event rules where-Server equals <our server/domain> AND URL contains <the section name in English> or <the section name in French>As I mentioned there are two Rules like above, completely identical. Then I selected In last 30 Days in the canvas. Is this Audience created correctly?Thank you.