Adobe Experience Platform

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.

Dear AEP Community,Your time is precious, and we understand the importance of efficiency when it comes to troubleshooting issues with Adobe Experience Platform.That's why we're excited to again bring you our carefully curated collection of Top KCS (Knowledge-Base) Articles for May 2026, designed to help you resolve common challenges swiftly and effectively.Our Top KCS Articles are your shortcut to:Quickly identifying and resolving recurring issues. Accessing expert insights and best practices for AEP. Streamlining your troubleshooting process for maximum productivity. Empowering yourself with the knowledge to tackle any AEP-related problem head-on.Why spend hours searching for solutions, when our Top KCS Articles have already done the heavy lifting for you?Let us help you save time so you can focus on what truly matters – creating highly personalized digital experiences with AEP.Start supercharging your problem-solving skills today by exploring our Top KCS Articles! Take a look:Blank J

I can see multiple unique visitors(people )value for my ECIDs. I have simply renamed “people” metric as “Unique Visitors” in my CJA and only passing website streaming data via webSDK without enabling profile for my schema.My visit(session) expires after 30min.  

Are we able to add to such an audience additional profile attributes? Other idea is to divide audiences into smaller chunks and then in FB & DV360 & Linkedin I would now the specifics of the audience (abandon basket , loyalty , new customers etc) based on the name of audience?How you do that? 

Case is like this: We activated audience to 3rd party media  Customer converted  We want to exclude immediatly customer from these campaigns How do you do this on your projects? I have got two ideas: AEP updates profile attributes in that activated audience that the profile left the audience? Create global audience with recently converted customers and then exluce these customers in FB & DV360 & Linkedin Your ideas? 

In ongoing modernization discussions, we are exploring how Adobe Experience Platform can be introduced gradually into existing Adobe Commerce ecosystems without requiring an immediate full migration.Key areas we are analyzing:event streaming strategy customer/profile data synchronization App Builder extensibility patterns coexistence of legacy customizations with composable services operational impact during phased adoptionWould like to understand from the community:What integration patterns are working well? Any lessons learned from real implementations? Common challenges around scalability, governance, or data consistency? How are teams preparing for future ACCS adoption while still running PaaS?Looking forward to hearing different implementation experiences and architectural approaches.

We are seeing more clients asking about progressive modernization instead of full replatforming.In several Adobe Commerce projects, the discussion is no longer only about storefront replacement, but also about how Adobe Experience Platform (AEP), App Builder, and event-driven architecture can coexist with existing PaaS implementations.Some common questions we are evaluating internally:How are teams introducing AEP capabilities without disrupting current Commerce operations? Are you using App Builder primarily for integrations, custom APIs, or operational workflows? What are the biggest architectural challenges during phased modernization? How are you handling legacy custom modules during transition planning? Are clients already preparing for ACCS readiness through composable services?Would love to hear how other teams are approaching:phased migration strategy event-driven integrations operational governance data synchronization patterns AEP adoption challengesInterested in learning fro

Hi there,I’m exploring how to connect Adobe Experience Platform (AEP) with Copilot Studio and/or Claude to build agents and reusable skills on top of AEP data.Do we currently have any MCP server, native connector, or prebuilt integration available for AEP in this context?If not, could you share any recommended guidelines or best practices for creating skills using AEP data (e.g., via APIs, custom connectors, or middleware)?

Adobe Commerce performance mistakes I see in almost every auditAfter dozens of Adobe Commerce (Magento) audits across B2C and B2B storefronts, the same culprits keep appearing. And they're not exotic , they're avoidable.MISTAKE #1 : VARNISH MISCONFIGURATIONCache hit ratio under 60% on category/PLP pages.What I find: ESI not set up properly, TTL values too conservative, cache invalidation firing on every CMS save.Fix: Audit your Varnish VCL, separate CMS cache from catalog cache, use hole-punching for cart/account blocks.MISTAKE #2 : SYNCHRONOUS INDEXING IN PRODUCTIONFull reindex triggered on product save, blocking storefront performance.What I find: indexers still set to "Update on Save" instead of "Update by Schedule".Fix: Switch all indexers to schedule mode. Use cron for execution. Use partial indexing wherever supported.MISTAKE #3 : N+1 QUERIES IN CUSTOM MODULESCustom GraphQL resolvers hitting the database once per product in a listing.What I find: Third-party or custom modules byp

我目前使用的是Substance Painter 11.0.2 / 12.0.2，遇到了一个关于复杂蒙版的重大工作流程问题：当图层的遮罩图变得复杂（包含多个生成器、层级、绘画和滤波节点）时，手动合并这些遮罩节点常会导致软件崩溃，使过程非常不稳定。 我正在寻找一个能一键自动完成以下操作的插件：保留原始图层（完全可编辑，非破坏性，便于回滚） 将最终遮罩结果烘烤/平整成一个干净的黑白纹理贴图 创建一个新的空填充层，并自动将烘焙的遮罩纹理分配到遮罩通道 最终结果会是一个没有遮罩子节点的新图层，只使用单个纹理作为遮罩。这不仅提升了性能，也消除了处理复杂遮罩图时发生崩溃的风险。虽然手动变通方法（重复→组→平整组）有效，但非常重复且耗时。如果有一个简单的插件来自动化这个流程，解决常见的掩膜相关崩溃问题并简化工作流程，那将非常有帮助。

We have a custom text block used across 100+ pages in AEM Edge Delivery Services.Our block structure is based on ordered JSON fields, and recently we introduced a new field in the block. Because of this, all existing row indexes shifted by one, and we updated our JS/decorate() logic accordingly.However, after deployment: The updated JS expects the new field order. Existing pages still render plain.html in the old structure/order. The new field is missing in the rendered output. modelFields/children count still reflects the old structure. If we manually edit and re-save a page/block (even a minor change), the block gets regenerated correctly: modelFields gets updated children count becomes correct new field appears in the front So currently it looks like all existing pages would need manual re-authoring/re-saving.One additional complication in our setup: We cannot safely add new fields at the end either. Our tabs are structured like overview + common. The common tab append

Hi Adobe Community, Greetings! For a certain use case, we were exploring options to create calculated fields from events source table and map it to a profile type schema. Will this work?In the events source dataset, there are fields which says what is the account type of the user, whether its active or not (Active flag), Identifier, etc.What we wanted to build in AEP was to create flag/boolean fields for a particular user, accounting for each account type. For ex - A user can have multiple accounts, say Savings account, Spending account, tax saving account, high returns account. What we want to create is 4 fields for each user. So the schema would essentially have Identifier + 4 account type fields.  Logic of each field-Identifier: would be mapped to Identifier. Savings Active: if Account type = Savings account AND Active account = True, then Savings Active field turns true else remains false.  Spending Active: if Account type = Spending account AND Active account = True, then Spending

We’re currently evaluating an enterprise API migration strategy for an AEM Cloud implementation and wanted to get input from teams that already went through something similar.Historically, our downstream AEM services relied on a middleware layer that handled:response transformation, field normalization, validation mappings, and compatibility logic for consuming components.Now that we’re moving closer to direct enterprise API consumption, we’re debating whether it’s better to:Introduce a transformation/adaptor layer temporarily to preserve compatibility for existing AEM services/componentsORRefactor all consuming services directly against the new API contractMain concerns are:scalability, long-term maintainability, regression testing effort, performance overhead, and dependency coordination across multiple teams.Would be interested in hearing how other enterprise AEM Cloud teams approached this tradeoff in production environments.

I am trying to add aria-label to rte link plugin. I have added it but its getting stripped even after adding the value to the xss protection config. How to solve this.

We have a non-XDM compatible dataset enabled for upsert with a couple of fields of type Object[].rootNode.fieldName: Object[]rootNode.anotherFieldName: Object[]We want to be able to edit one of them at a time and to replace the whole list on that update operation, including emptying out the list. On the dataflow mappings we have that field mapped asupsert_array_replace(rootNode.fieldName) -> rootNode.fieldNameWe were able to see full list replacements where the profile attribute had [A, B] and we sent [C] and it worked correctly becoming just [C].Our issue is that we couldn't clean the field from [A. B] to [] by sending [] or null, or anything else we could think of on the HTTP merge-enabled call.How can we clean an attribute of type list in that case?

We are exporting a CJA dataset from AEP to Azure Data Lake Storage Gen2 using the destinations connections in AEP. We have connected the account through the initial setup. However, we are receiving an error for the export job. We have confirmed the folder and path do exist and the account has all rights necessary to create the export. The documentation states: Folder path: Enter the path to the destination folder that will host the exported files.” We aren’t sure if this is an absolute path or relative path, but tried both. Any ideas?Error Code: ACTBTC-2400-400Error Message: An error has occurred when exporting data to the destination. Unable to perform the data export with the parameters flowId=45f4d5d5-62fb-4407-8c87-806a66e76015 datasetId=69a9f4aa23235bf67317dd6e flowRunId=550339e9-dded-431d-a115-47e4ef53afc5. The error message returned by the destination is An unsupported operation has been performed. The path may not be correctly specified.  

If the user is in two user groups:high level of access - edit  low level - view Which one has the priority? 

I had a question regarding reducing latency for data availability in Customer Journey Analytics (CJA).We understand that a latency of around 1–2 hours for data to become available in CJA is fairly normal. However, there is a requirement from the client side to have data available sooner, ideally within 15 minutes.One suggestion was to look into setting up a Streaming API to reduce the delay. From my understanding, the Edge Network to AEP/CJA setup already uses streaming ingestion, and based on Adobe’s SLA documentation, the processing time still appears to be within a similar timeframe.I’m aware that true real-time capabilities would require additional licensing/capabilities, which the client currently does not have. So my question is:With the existing AEP/CJA setup and licensing, are there any recommended approaches or best practices to reduce the latency and have data available sooner in CJA?Would appreciate any guidance from anyone who has worked on similar implementations.

We are trying to migrate our Snowflake authentication method to key/pair as recommended. We are following all necessary steps but still running into authentication error. Curious if anyone has done this lately and can share gotchas? 

Hi, I need to speak with an AEM cloud expert regarding a migration from on prem to cloud. Could you kindly get in touch with me. Thank you!.