Product Updates

👋Hi Adobe Experience Platform (AEP) Community! Nice to e-meet you. I’d love to learn from you all when it comes to onboarding as a net new customer.    Q: When you were a net new customer implementing AEP from scratch, can you share an asset (for example: links to free courses, documents, videos 📑📚📹) that helped you with onboarding to AEP? In your response to this discussion, can you include: The asset The goal of the asset   Who it's for   What works well/what does not   What learning material is missing/what did you wish you had?  This will help us all learn together, and will help me develop future onboarding content for you all. Feel free to browse Perspectives on Experience League here for some examples of the content I will develop with your feedback.    Thank you in advance for your time and I look forward from learning from everyone. ❤️

With Adobe Journey Agent, Adobe brings clarity to complexity by helping every marketer deliver smarter, more seamless experiences at scale even as demands continue to rise.   Included in both Adobe Journey Optimizer and the B2B Edition, Journey Agent streamlines the design, launch, and optimization of marketing journeys so that tasks that once took hours can now be accomplished in minutes. Powered by Adobe Experience Platform Agent Orchestrator, Journey Agent acts as an intelligent subject matter expert (SME) alongside the marketer. The agent can generate journeys from prompts, analyze journey conflicts and drop-offs, then make recommendations for improvements, therefore allowing marketers to prioritize creativity and strategy over task completion.   Key features: Text-to-journey creation: Marketers will soon be able to build multi-step journeys from natural language prompts. Conversational insights: Receive instant answers to operational-related questions. Anomaly detection: Automatically spot drop-offs and conflicts. Proactive optimization: Soon, get upcoming alerts for overlaps, timing issues, and journey enhancements.   Explore how it works: See Journey Agent in action with this overview tutorial. Dive deeper into features, sample prompts, and use cases in the Journey Agent documentation.   Ready to learn more? Explore how Journey Agent helps B2C marketers. Explore how Journey Agent helps B2B marketers.

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 language prompts. Predictive and goal-based segmentation: Coming soon, the agent will be able to generate audiences aligned to business outcomes using AI-driven models. Audience insights and management: The agent can monitor changes in size, suppress duplication, and maintain data quality. Intent-based persona inference: Identify and group individuals using the agent based on first-party data such as intent, engagement, and other buying signals. Buying group identification and creation: For B2B marketers, automatically detect and assemble buying groups across accounts.   Explore how it works: See Audience Agent in action with this overview tutorial. Dive deeper into features, sample prompts, and use cases in the Audience Agent documentation.   Ready to learn more? Explore how Audience Agent helps B2C marketers. Explore how Audience Agent helps B2B marketers.

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 language prompts. Predictive and goal-based segmentation: Coming soon, the agent will be able to generate audiences aligned to business outcomes using AI-driven models. Audience insights and management: The agent can monitor changes in size, suppress duplication, and maintain data quality. Intent-based persona inference: Identify and group individuals using the agent based on first-party data such as intent, engagement, and other buying signals. Buying group identification and creation: For B2B marketers, automatically detect and assemble buying groups across accounts.   Explore how it works: See Audience Agent in action with this overview tutorial. Dive deeper into features, sample prompts, and use cases in the Audience Agent documentation.   Ready to learn more? Explore how Audience Agent helps B2C marketers. Explore how Audience Agent helps B2B marketers.

  Are you an Adobe Experience Platform user looking to deepen your technical expertise? We’re excited to announce a new beta opportunity: an on-demand learning experience designed to help you master the foundational architecture of Adobe Experience Platform through hands-on practice in your own sandbox environment.    What is this beta program? This beta program gives you exclusive access to the Adobe Experience Platform Foundations course and a personal sandbox for hands-on learning. You’ll benefit from expert-led lecture videos and a pre-populated sandbox to apply key concepts provided in the lab guides.  This program is a launchpad to accelerate your Adobe Experience Platform implementation knowledge and skills.    What will you gain? After completing the program, you will:  Understand the “why behind the how” of Adobe Experience Platform’s architecture  Learn to design a future-proofed architecture  Accelerate your implementation with best practices  Gain hands-on experience in a dedicated sandbox environment    Why join the beta?  Personalized sandbox environment for 60 days  On demand access to foundational Adobe Experience Platform course content  Guided exercises to reinforce key concepts  Who should apply? This beta is ideal for technical practitioners who meet these prerequisites:  Familiarity with general database concepts  Working knowledge of REST APIs  Ability to utilize Postman  General business understanding of Adobe Experience Platform    Typical participant titles include:  Data Architects  Data Engineers  Developers  Enterprise Architects  Solution Architects    How to apply: If you’re interested and meet the prerequisites, apply for the beta program today! Don’t miss your opportunity to gain hands-on experience and help shape the future of Adobe Experience Platform learning —apply now and unlock your potential!  Apply now* *Thank you for the overwhelming interest. The On Demand Learning Beta is taking rolling applications as current capacity has been met. We encourage you to submit an application for the waitlist if you have not already applied. Please refrain from submitting duplicate applications. If you have not received credentials to date, please be ensured you are automatically in the queue for the next wave of participation.

On September 16, 2025, Adobe transitioned to a more modern hosting infrastructure for REST API URLs that leverages newer technology, adding security and scalability.   If your subscription has been using APIs with a double forward slash (//) in the URL, you should have received the following alert in Marketo Engage, with a Learn More link:   It is possible not everyone received or noticed the alert, as we recently discovered some existing API URLs have been generating 500 server errors, due to the API call itself. If you were affected by this, to resolve the error, you must modify the URL of the API call to change the double slash (//) to a single slash (/) where applicable.   Which API endpoints are impacted and should be modified?Any Marketo REST APIs that include a double slash (//) in the URL. What happens if we didn't make any changes prior to the deprecation date?Those specific APIs will fail; data synchs, Lead updates, or Campaign Triggers (depending on those specific calls) will not execute successfully. Additionally, monitoring or automation pipelines relying on those pipelines may show errors or experience delays.We didn't see or receive that alert. What action should we take?-Locate URLs by reviewing API endpoint configurations and integrations in the codebase to search for double slashes.-Normalize the impacted URLs by ensuring their calls are modified as recommended.-Apply URL sanitation logic, especially where they are dynamically generated from environment variables, base URLs, or paths.-Validate post-fix calls – use a test call to confirm that endpoints are working after the fix.How can we get guidance on this deprecation?For self-service:-Review API logs if logging is in place to look for errors (if logs are not accessible, contact Adobe Support for assistance).Should changes be made in a Sandbox environment first?Yes, it is highly recommended to make changes in a Sandbox environment (if applicable) prior to making changes in production.Once these changes are made, any ongoing failures due to double slash URLs should be resolved and processes should run back to normal. What if we have more questions, or don't want to go the self-service route?If you need assistance or have any additional questions, please reach out to your Account Representative or Adobe Support at any time.

Marketo’s new email editor is here—and it’s packed with features designed to make email creation smarter, faster, and more flexible than ever. In this article, we will explore what’s new to the designer and what’s coming soon. Here’s what you need to know.   ✨ AI Assistant: Smarter Email Creation The headline feature is the AI Assistant, powered by Adobe’s proprietary GenAI. This tool helps users generate everything from subject lines to images and full email content. You can tailor prompts for specific buying groups, marketing journey stages, communication strategies, and tones. Want a subject line with FOMO and an emoji? Just ask. Need content for decision-makers in an informative tone? The AI Assistant delivers. Key points: AI Assistant is currently English-only, but support for other languages is planned. You can use prebuilt prompts or customize your own. Text settings allow for deep personalization by audience, journey stage, and tone. Image generation is available, but still a bit glitchy—best results come from uploading branded PDFs or reference content.   🌑 Dark Mode: Modern, Customizable Previews Dark mode is now available at both the email and module level. With a simple toggle, you can preview how your email will look in dark mode across different clients. You can even customize images and certain modules for dark mode-specific styling. Tips: Not all email clients support dark mode (Yahoo, AOL, etc.), and some (like Gmail, Outlook) may force their own styling. You can render previews across clients and send proofs to tools like Litmus for full compatibility checks.   🛠️️ Coming Soon: Streamlined Collaboration and Enhanced Reporting Marketo’s new email designer is evolving rapidly, with several exciting features on the horizon. Soon, marketers will be able to tag team members directly within the editor, making collaboration and review cycles faster and more transparent. Enhanced reporting is also in the works, ensuring that emails created in the new editor will be easier to track and analyze within campaign dashboards. Additionally, ongoing improvements to template imports and URL handling will help reduce errors and streamline the migration process. As these updates roll out, marketers can look forward to a more efficient, connected, and data-driven email creation experience.   Final Thoughts Marketo’s new email editor is a leap forward for teams looking to streamline email creation and leverage AI. While some features are still evolving, the combination of smart content generation, dark mode, and flexible templates makes it a compelling choice for many organizations. As always, test thoroughly, train your team, and choose email processes that fit your customer’s needs.

October '25 release notes Check out what's new and improved in the latest Adobe Journey Optimizer product release update: Release Notes New capabilities Image to HTML converter: The image to HTML converter is an AI-powered feature that converts static image designs into fully customizable, modular HTML email content templates. This no-code tool enables marketers to transform visual designs into responsive, editable email templates without requiring technical expertise—perfect for platform migration, rapid template creation, and building reusable template libraries. This capability is available in Limited Availability. Contact your Adobe representative to gain access. Custom action monitoring and reporting: This capability provides better visibility into custom action endpoint health and performance. A new custom action monitoring dashboard and corresponding fields in journey step event dataset will help you monitor successful calls, errors, throughput, response time and queue waiting time for your custom action endpoints. You can now quickly understand when, where, and why an anomalous situation is occurring in a custom action. This capability is currently in Limited Availability for customers. Landing page custom forms: With Journey Optimizer, you can now capture profile attributes though your landing pages. Create, design and manage custom forms tailored to your needs based on a specific dataset. You can then leverage these forms in landing pages to add the profile attributes of your choice into the dataset defined for each form. This capability is currently in Limited Availability for customers in the United States and Australia. Contact your Adobe representative to gain access. Quiet Hours / Time Based Exclusions: Quiet hours let you define time-based exclusions for Email, SMS, Push, and WhatsApp channels. They ensure that no messages are sent during specific periods of time, helping you respect customer preferences and compliance requirements. You can apply quiet hours through rule sets, which can be assigned to individual actions in campaigns or journeys for precise control. Quiet hours rules are currently only available for a set of organizations (Limited Availability). To be added to the waitlist, contact your Adobe representative. High throughput messaging for API triggered email campaigns: A new high throughput transactional messaging mode is available in API triggered campaigns. This mode is designed for large-scale, real-time transactional messaging and supports up to 5,000 transactions per second with higher availability. This mode also supports transactional messages without referencing or creating customer profiles, such as guest checkout, order confirmation, password resets, security notifications, and other service/operational notications. This capability is only available for the email channel, for organizations that have purchased the Adobe High Throughput Transactional Messaging add-on offering. Contact your Adobe representative for more details. Reusable targeting rules: To save you time and effort, Journey Optimizer now allows you to create reusable rules from a dedicated UI menu and leverage them when building targeting, either as part of content Optimization in a campaign or a journey, either in the Optimize journey activity. Targeting rules are currently in Limited Availability. Contact your Adobe representative to gain access. Please note this capability is only available to organizations that have purchased the Decisioning add-on offering. It will be progressively rolled out to all customers. New Journey Alerts: New pre-configured alerts are available to monitor your journey execution: Profile Discard Rate Exceeded: Ratio of profile discards to entered profiles over the last 5 mins exceeded threshold Custom Action Error Rate Exceeded: Ratio of custom action errors to successful HTTP calls over the last 5 mins exceeded threshold Profile Error Rate Exceeded: Ratio of profiles-in-error to entered profiles over the last 5 mins exceeded threshold. You can modify threshold values and subscribe to individual journey-level alerts vs globally. Execution Metadata helper: A new `executionMetadata` helper function is available in the personalization editor. It allows you to append contextual information to any native action and capture it in a dataset for export to external systems. This capability is available in Limited Availability. Contact your Adobe representative to gain access. Experimentation Agent is here!: Powered by Adobe Experience Platform Agent Orchestrator, Experimentation Agent is available in Journey Optimizer. The Experimentation Agent is an AI-powered tool that modernizes how you can run and manage digital experiments across websites, emails, push messages, and applications. It helps you run experiments more efficiently, organize business goals, and generate actionable insights, highlighting what worked, what did not, and where to experiment next. PDF attachments to emails: You can now attach a static PDF file to an email message sent with Journey Optimizer. You can send up to 6 messages with a PDF attachement per profile per year. The maximum allowed file size for each attachment is 5 MB. For any additional size or volume, you can purchase the PDF Attachments add-on. For more details, contact your Adobe representative. Previously released in Limited Availability, this capability is now available to all environments (General Availability). Public API to retrieve journeys: A new Journey Optimizer API is now available to retrieve journeys and their associated objects such as campaigns and surfaces.   Please find the detailed information around the new capabilities and improvements here: Latest Release   Feel free to reach out in case you have any questions and/or feedback through the below comment section.

Help the Workfront Scale customer success team learn more about you, how you learn, and how we can support you on your Workfront journey!   We're looking for feedback in this brief, 7-10 minute survey.   Responses will help us with future programming and inform some of our team's branding!   Thank you so much for your help - if you have any questions, don't hesitate to reach out to the team at csatscale@adobe.com.

Many of you have been building on AEM for years - crafting sites that don’t just look great but drive measurable business outcomes. You’ve set the bar high. Now, the landscape is shifting. People are finding answers and getting work done through new, powerful tools - ChatGPT, Google AI Mode, and others. The AEM team is committed to making sure this community stays ahead of that curve. That’s why we’ve built LLM Optimizer - a new capability that gives you deep visibility into how generative AI systems (like chatbots and agents) consume and interpret your site’s content. It connects those insights to business outcomes and provides step-by-step guidance to help you capture emerging opportunities. This week, we’re starting to roll out LLM Optimizer for AEM customers on AMS and Cloud Service. You’ll start seeing real data - tracking agentic traffic and surfacing your first set of optimization opportunities. We started this journey just over 100 business days ago, and it’s only the beginning. As we continue to learn, we want this community alongside us - shaping how LLM Optimizer evolves and helping every one of you become experts in building agentic websites. Questions - let's talk below

The AEM product team has been building something new: Adobe LLM Optimizer In the next few weeks I’m going to share actions for you folks to do, to improve your AEM sites to be more visible in LLMs. My first ask: Check that your pages main text is in the initial HTML (ok to ignore header, nav, footer). LLMs like ChatGPT and Perplexity don’t run JS when they fetch page during the reasoning phase. If the content isn’t there, you won’t get cited at the moment they try link back to your site. 🧰 Test your pages with this Chrome/Comet browser extension → https://llmo.page Questions? - let’s talk here

September '25 release notes Check out what’s new in the latest Adobe Experience Platform release update: Release Notes New capabilities Agent Orchestrator:  Agent Orchestrator: Adobe Experience Platform Agent Orchestrator is the new agentic layer in Adobe Experience Platform. Designed to leverage the platform’s rich data and customer knowledge, Experience Platform Agent Orchestrator powers the intelligence and reasoning behind purpose-built expert Adobe Experience Platform Agents, enabling them to execute complex decision-making and problem-solving tasks at speed and scale — all with human oversight. Audience Agent: The Audience Agent lets you view insights about audiences, including detecting significant audience size changes, detecting duplicate audiences, explore your audience inventory, and retrieve your audiences’ size.  Alerts: Streaming profile ingestion alerts - You can now subscribe to two new alerts for streaming ingestion on a dataflow level: Streaming Ingestion Failure Rate Exceeded Streaming Ingestion Skipped Rate Exceeded Destinations:  Snowflake Batch connector:A new Snowflake Batch connector is now available, providing an alternative to the streaming connector for specific use cases. Data Landing Zone encryption support: You can now attach RSA-formatted public keys to encrypt your exported files, giving you the same level of security that other cloud storage destinations provide for your sensitive information. Authentication expiration details for Pinterest destinations: Authentication expiration information for Pinterest destinations is now visible directly in the Experience Platform interface, so you can see when your authentication will expire and renew it before it causes any disruptions to your dataflows.  Enhanced destination management capabilities in the Experience Platform UI: Improve your destination management workflow with new sorting capabilities across the Browse and Accounts tabs. You can now also see a visual indicator when your account authentication is about to expire. Experience Data Model (XDM): Data Mirror - Ingest row-level changes from cloud data warehouses (e.g., Snowflake, Databricks, BigQuery) into Adobe Experience Platform using model-based schemas. Data Mirror eliminates upstream ETL and preserves relationships, versioning, and deletions by mirroring existing database structures directly into the data lake.    Please find the detailed information around the new capabilities and updates here: Latest Release   Feel free to reach out in case you have any questions and/or feedback through the below comment section.

Introducing Adobe Experience Platform Agent Orchestrator Latest Updates  Customer experiences are evolving at a rapid pace, and static automation and rigid workflows are no longer enough to keep up. Practitioners need intelligent systems that can adapt, reason, and collaborate—expanding their team capacity and unlocking greater productivity and efficiency gains. That’s where Adobe Experience Platform Agent Orchestrator, the new agentic layer in Adobe Experience Platform, comes in. Designed to leverage the platform's rich data and customer knowledge, Experience Platform Agent Orchestrator powers the intelligence and reasoning behind expert Adobe Experience Platform Agents, enabling them to execute complex decision-making and problem-solving tasks at speed and scale — all with human oversight.   We’re excited to announce two major updates that make Experience Platform Agent Orchestrator even more powerful:  A next gen conversational interface designed for new and improved interactions.  The highly anticipated debut of Agent Orchestrator reasoning engine, the core intelligence behind Adobe Experience Platform Agents.     Smarter, smoother, more impactful interactions  We’ve upgraded our conversational interface to do more than just respond—it now helps you work smarter and faster. Whether you’re checking on a workflow, troubleshooting an issue, or adjusting a process, interactions feel more natural, more helpful, and more powerful. Let’s take a look at the latest upgrades to the conversational experience in Agent Orchestrator:  Immersive application: Initially a right-rail experience, we’ve moved to a sleek, full-page interface that brings cross-product capabilities into one unified experience. It’s immersive, intuitive, and built for flow.  Skill onboarding: We’ve heard customer concerns about not knowing how to get started. With the new experience, users now get built-in guidance with sample prompts to get started fast and help them understand and activate new skills with confidence.  Conversations: Each interaction is now organized into discrete threads—so users can focus on solving one problem at a time, without losing context or momentum.  Split view: If users feel the need to go deeper, split views provide them with focused panel displaying rich responses, external pages, or digital experience (DX) application panels—right alongside the conversation for seamless multitasking.  Confidence scoring: If we’re not certain that a response provided is in line with what the users are looking for, users get a heads-up so they can validate before acting.  Streaming responses: Agent Orchestrator and Agents can deliver an initial answer, while continuing to process deeper complexities—like long-running machine learning tasks, sourcing, and verification—to follow up with richer, more explainable results.    A smarter core for smarter workflows  The reasoning engine is one of key components of the Experience Platform Agent Orchestrator, and it is the brains of the operation. The reasoning engine in Agent Orchestrator interprets natural language prompts, identifies clear goals, and breaks them into actionable phases. It charts the optimal execution path, activates the appropriate agents, and incorporates safeguards like validation and verification. Whether executing a simple one-step task or coordinating complex, multistep workflows with recurring schedules, it uses chain-of-thought reasoning and a human-in-the-loop approach to ensure transparency, traceability, and ease of debugging—logging each decision for review and refinement.   Whether someone is an audience specialist, data analyst, marketing operations specialist or campaign manager, the reasoning engine acts as your strategic partner. Here’s how reasoning engine supports simple, common end-to-end customer experience use cases:  Uncovering audience insights: When an audience specialist inquires “which audience have changed in size by more than 10% in the last week,” the reasoning engine activates Audience Agent to retrieve audience size and changes over time, simplifying and accelerating audience activation for better, more optimized campaigns.   Analyzing journey drop-off: When a marketer asks, “Which nodes in journey Fourth of July Campaign – B have the highest fallout?” the reasoning engine triggers Journey Agent to analyze fallout points, detect scheduling conflicts, and recommend fixes*. It adapts the plan based on real-time feedback and logs each step for transparency. This enables fast, explainable journey optimization with minimal disruption.  Exploring and visualizing data: When prompted to “explore campaign performance across channels,” the reasoning engine activates Data Insights Agent to analyze datasets, surface trends, and generate visualizations like charts and summaries. This empowers marketers to quickly understand what’s working, identify anomalies, and share insights with stakeholders—without needing to manually wrangle data.  Creating support cases: When a marketing operations specialist requests assistance in creating a support case through AI Assistant, the reasoning engine activates Product Support Agent, which auto-fills contextual data (e.g., page URL, user ID) and drafts a support case, which the user can review before submitting. The process includes human-in-the-loop review, ensuring accuracy and accountability while reducing resolution time.  *Capability is currently in development and will be coming soon.     All these cases only scratch the surface of what the reasoning engine is capable of. Complex, multistep workflows are where the magic behind reasoning engine comes through clearer than ever. Imagine you're tasked with launching an email campaign. The reasoning engine springs into action, coordinating a seamless multi-agent workflow behind the scenes:  Data Insights Agent is activated first to uncover recent performance trends and behavioral signals across channels.  Based on those insights, the engine calls on Audience Agent to generate high-propensity audience segments tailored to your campaign goals.  Finally, it engages Journey Agent to design the optimal customer journey—from initial touchpoint to conversion—ensuring timing, triggers, and personalization are aligned.  Throughout this process, the reasoning engine keeps everything coherent and efficient. It adapts dynamically to prior results, pauses to ask for clarification when needed, and continuously updates the plan based on real-time feedback. This orchestrated teamwork allows domain-specific agents—each with their own expertise—to collaborate intelligently, while giving you a clear, logical path to execution.     Intrigued yet? Don’t just take our words for it; see how you can leverage the reasoning engine and its multi-agent orchestration power to build a campaign from scratch in minutes here.        What’s Next for Adobe Experience Platform Agent Orchestrator?  The journey for Agent Orchestrator is just beginning. Other than continuously enhancing the conversational interface for better user interactions, we are also actively expanding the reasoning engine’s capabilities to support more sophisticated workflows—think advanced troubleshooting, deep search, idea generation, and richer collaboration among agents. As marketers’ needs evolve, the engine will continue to adapt, coordinate, and reason with greater nuance. Soon, features like long-term memory and personalization will allow the reasoning engine to tailor plans based on past behaviors, preferences, and industry-specific goals—making every experience smarter, more relevant, and more effective.  👉 Want to see it all in action? Join us next month for our exclusive Experience League Live webinar “Next-Gen Customer Experiences & Efficiency with Adobe Experience Platform Agent Orchestrator”, where our Product team dives deeper into how Agent Orchestrator and the reasoning engine are transforming the future of customer experience. Register now for a behind-the-scenes look, hear from product experts, and explore real-world use cases.  Written by HuongVu (@huongvu), Product Marketing Manager - AEP

AI Assistant in Adobe Experience Manager (AEM) offers a conversational interface designed to streamline finding answers to your AEM-related queries. It helps you get instant answers to your AEM product-related questions (available to all users), and automate support ticket creation (available to Support Admins). Learn More. Watch Overview  Scope and Value  AI Assistant supports AEM as a Cloud Service, including the following solutions:  Experience Hub overview page  Edge Delivery Services  Sites  Assets  Forms  Dynamic Media  Cloud Manager  It is directly embedded in AEM and accessible from AEM Experience Hub, Cloud Manager, and Author UI.  The current scope of the AI Assistant in AEM focuses on addressing product knowledge questions for AEM as a Cloud Service. This scope includes comprehensive support for key areas.  Surfaces: Available across AEM Experience Hub, Author UI, and Cloud Manager.  Capabilities: Product knowledge and first-stop for troubleshooting and guidance, automated creation of support tickets, and lookup.  Value: Saves time, accelerates learning and time to value, reduces the need to create support tickets manually, and improves efficiency in creating support tickets.  Access and Permissions: The Prerequisite  To get access to the AI Assistant in AEM:  Customers must have an additional agreement in place to access most AI-powered and agentic capabilities in Adobe Experience Manager. Contact your Adobe representative for details.  To use the AI Assistant in AEM, permission to access Product Knowledge through the AI Assistant is mandatory. This permission is turned ON by default.  If you want to control who can access Product Knowledge, send an email to aemaiassistant@adobe.com from your email address associated with your Adobe ID. Adobe can enable user-level access control. When it is enabled, your Admin can grant user-level access by following the steps in Configure AI Assistant in AEM.  Feel free to drop your thoughts or questions below. We’re excited to hear how your journey with AI Assistant is going and what you would like to be able to use the Assistant for.       

AEM Experience Hub is the intelligent, unified front door to Adobe Experience Manager, streamlining how content authors, marketers, and administrators discover, generate, and launch, supercharged by AI.  Empower every AEM user and beyond: From authors to marketers to admins, intuitive and personalized navigation makes it intuitive for every user, with each user seeing tools and workflows mapped to their mental model.  Quick Actions, Recents, & more: With features like Recents and Quick Actions, Experience Hub remembers what you worked on, suggests next steps, and shortcuts repetitive tasks.   Fuel intelligent workflows with AEM AI Assistant: The AI Assistant turns user intent into actions, supporting self-serve knowledge and ticket creation.  Watch Overview  Why Experience Hub is transformative  The Home Screen is the personalized starting point for every AEM user. It simplifies the experience by surfacing what’s most relevant to each persona, whether that’s recent projects, quick actions, or pending tasks.   Quick Actions give users immediate access to their most common tasks, tailored to their role, so they can skip the clicks and get straight to work.  Recents keeps track of your most recently accessed pages, assets, and projects so you can jump back into your work without missing a beat.  Agent-powered Intelligence: Built on Adobe Experience Platform Agent Orchestrator, the Assistant uses purpose-built agents like:  Product Knowledge – Retrieves and summarizes relevant documentation to answer product questions   Product Support Agent – Automates support ticket creation with context-rich case generation.  Get started now  The new AEM Experience Hub is available to all Cloud Service and Adobe Managed Services customers today. Simply start accessing AEM via http://experience.adobe.com/experiencemanager   Learn More  Feel free to drop your thoughts or questions below. We’re excited to hear how your journey with Experience Hub has made a difference!   

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As of September 25, 2025, Adobe Admin Console (AAC) introduced support for IP-based Access Control . To ensure a smooth transition, Marketo Engage’s IP-based login restrictions have remained available, giving organizations time to adjust to the differences between the legacy feature and AAC’s new capabilities. The full transition to AAC was initially planned for completion by the end of Q1 2026. However, based on customer feedback, Adobe has extended support for the legacy feature and moved the transition target to the Q1 2027. This extension allows additional time to deliver enhancements in AAC that will provide stronger parity with the legacy experience. Please note that Marketo Engage's IP-Based API Access feature operates independently of Marketo Engage’s IP-based login restrictions that are being replaced by Admin Console’s IP-based access control. It will continue to function as-is for a foreseeable future.  For questions, please contact Adobe Support or your Adobe account team. Current Experience:Existing Marketo Engage IP restrictions continue to function and apply to Adobe ID users. The IP access/block list in the Marketo Engage Admin area remains available to existing customers with this feature enabled. No action is required - your current configuration applies automatically. You may begin setting up AAC IP-based access at any time. Both Marketo Engage and AAC restrictions can be active simultaneously and work complimentarily. If using AAC IP-based access, IP addresses must be configured in CIDR format. IP address of the person setting up the AAC IP-based access must be the first one on the listExperience After the Full Transition to AAC (Target: Q1 2027)The IP access/block list in the Marketo Admin area will be disabled, and legacy IP restrictions will no longer function. IP-based access will be managed exclusively through AAC and must be configured to enforce user login restrictions. A finalized transition date will be shared once available. Please also review an important reminder regarding IP restrictions and the domain change in the product URL following the Marketo Engage migration to Adobe IMS.

September '25 release notes Check out what's new and improved in the latest Adobe Journey Optimizer product release update: Release Notes New capabilities Journey Optimizer Experimentation Accelerator: Journey Optimizer Experimentation Accelerator is an AI-first product designed to take your experimentation to the next level. Built for Adobe Journey Optimizer and Adobe Target users, it unifies experiment management, delivers AI-powered insights and opportunities, and introduces a new experimentation agent. Journey Agent is here!: Powered by Adobe Experience Platform Agent Orchestrator, Journey Agent is available in Journey Optimizer. It enables you to analyze journeys through a natural language interface. The agent will detect audience or schedule conflicts and profile drop-offs in a journey to help you take steps to resolve them. Soon, you will be able to create journeys with agentic support. Dark mode in the Email Designer:The Journey Optimizer Email Designer now offers the ability to switch to dark mode view, where you can additionally define specific custom settings that will display only for recipients reading their emails in dark mode. Journey path optimization:Use the new Optimize node to target specific audiences or run A/B tests to determine the best path to meet your business-centric KPIs. This tool allows you to test and vary, and customize communications, sequencing, and timing to best reach your customers. This capability is available in Limited Availability. Contact your Adobe representative to gain access. Custom delegation method for subdomains: In addition to the full delegation and the CNAME method, a new subdomain configuration method is now available: the Custom delegation method, which enables you to fully own controlling and maintaining all aspects of DNS that are required for delivering, rendering and tracking messages. This capability is available in Limited Availability. Contact your Adobe representative to gain access. Use Adobe Experience Platform data for personalization and decisioning:  Previously released in public beta, this capability is now available to all environments in Limited Availability. With this release, the following enhancements have been introduced: Support for dataset lookup personalization in inbound channels. The "datasetLookup" helper function can now be used within expression fragments. For now, this capability is available for a limited set of customers. To gain access, contact your Adobe representative. An option in the dataset management interface now allows you to enable record-based datasets for lookup personalization, without having to perform an API call. Enhanced monitoring to track data ingestion status and know when datasets are ready for lookup. Updated usage guidelines and guardrails to ensure optimal performance and reliability. Adobe Experience Platform Datasets can now be leveraged in Decisioning capping rules.   Please find the detailed information around the new capabilities and improvements here: Latest Release   Feel free to reach out in case you have any questions and/or feedback through the below comment section.

Discover project trends like never before  Are you ready to take your project insights to the next level? We’re excited to announce the release of the Baseline Dashboard Blueprint to help you do it! This blueprint is your launchpad for smarter, faster project decisions with its streamlined dashboard containing four powerful reports.    Why are baselines a big deal?   Baselines are more than just a project snapshot—they’re your time machine for project management. Whether you capture them at kickoff or mid-flight, baselines empower you to compare what was planned vs. what’s happened, letting you spot problem tasks, scope creep, and project trends at a glance. Use the in-progress reports to proactively catch projects and tasks that need attention now. Dive into the completed reports to learn from past projects and fine-tune your future plans for smooth sailing next time. Each report is laser-focused to help you celebrate efficiencies or illuminate bottlenecks fast.   Learn how to install this dashboard from blueprints  Quick Tips:   The reports are built to support a wide audience, so you may need to adjust filters, views, and groupings—especially around status or date/time. You may not need all the reports, so feel free to remove them. All reports are tagged with #baseline for easy search, and we recommend making copies before editing.    Reports Included in the Baseline Dashboard:   Baseline | In Progress Projects - Evaluate variances in dates, durations, and hours between baseline and planned fields to identify scope creep or trends.   Baseline | Completed Projects - Compare baseline vs. planned or actual fields to uncover trends in completed projects.   Baseline | In Progress Tasks - Track task-level variances to catch issues early.   Baseline | Completed Tasks - Review completed tasks to improve future planning and execution. 

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 now edit audience metadata, connection access, names, descriptions, and categories for multiple audiences using the bulk edit tool.    Please find the detailed information around the new functionalities here: Latest Release   Feel free to reach out in case you have any questions and/or feedback through the below comment section.

An upcoming deprecation may impact your integration with Marketo Engage and may require action. The Marketo Engage SOAP API will be fully deprecated on August 31, 2026 (the REST API Access Token has already been deprecated).  Please review this post if you are still using the SOAP API in one or more of your Marketo subscriptions. To avoid disruptions of service, you will need to retire or migrate any services using the SOAP API to the Marketo Engage REST API by August 31, 2026.  Consult the Migration Guide for further information.  Marketo Engage Support is only able to provide the IP address of requests made to the SOAP API. On August 31, 2026, the Marketo Engage REST API will no longer accept access tokens for authentication and authorization via the ‘access_token’ query parameter.  Please check if one or more of your integrations uses this parameter to authenticate.  To avoid disruptions of service, any services using this parameter to authenticate will need to migrate to using header-based authentication using the ‘Authorization’ header, which is documented here.  Please let us know in the comments section if you have any questions or concerns about this change.

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Hi all--   We are looking for customers who have a loyalty program and would like to partner with our product and engineering teams in a Beta some loyalty capabilities we're building.Included in those capabilities are: A loyalty challenge service AI Loyalty program insights and recommendations Data source connectors from their eternal loyalty management system into AEP Please reach out if you're interested in learning more!

Hello Marketing Nation,   I'm excited to share an update regarding our Community Ideas space!   First and foremost, thank you for actively using this platform to share your product suggestions and for engaging with your peers' ideas through votes and comments. Our ideas space serves as an invaluable resource for product feedback, and we genuinely appreciate the time and thought you put into each submission.   Your voices matter to us. While we may not be able to implement every suggestion, please know that we carefully review the most engaged ideas and prioritize our responses based on community interest and product impact. We're committed to being more transparent about this process moving forward.   With that commitment in mind, I have some exciting news to share! Over the past few weeks, we've updated several community ideas that were successfully implemented in earlier releases this year. While this represents just a portion of the valuable feedback we've received through the Ideas space, we hope these implementations address key pain points many of you encounter in your daily workflows.   Below, you'll find the specific ideas that have been brought to life in our product. Moving forward, we're implementing a more proactive approach to updating idea statuses as we review and implement community suggestions, ensuring you stay informed throughout the development process.     Idea Author Votes Idea Stage Automatically Turn Off Smart Campaigns when Archiving Folders @nadine_regan1 42 In Production Allow Interesting Moments to Include Custom Activity Trigger Token Values @dan_stevens_ 41 In Production API Names on Field tab @robb_barrett 8 In Production Root folder, Instance level or Workspace Level Tokens @Grégoire_Miche2 38 In Production Custom Activity Triggers: Enable {{trigger.}} tokens for Interesting Moments @chris_willis1  12  In Production   For detailed descriptions of these implementations and other recent product improvements, I encourage you to check out our latest product update post.   Thank you again for your continued engagement and for contributing to what makes both our product and community exceptional. Your feedback drives meaningful innovation, and we're grateful for your partnership in shaping our solution.

10 Real-Time CDP Collaboration example use cases and campaigns tied to business objectives! Take your Real-Time CDP practice to the next level with Real-Time CDP Collaboration to boost the power of partnerships through shared audience insights. When brands collaborate through data, magic happens. Outlined below are typical use cases showcasing how companies can transform shared insights into high-impact campaigns - whether it’s co-targeting loyalty members, creating joint experiences, or uncovering unexpected audience overlaps.   1. Example Initiative: Effectively prospect and acquire new customers Use Case: Intelligent Prospecting Business Objective: Growth Example Campaign: A financial services marketer discovers that an audience segment of Certificate of Deposits prospects (visited CD interest page 3x in the last 7 days) has a high overlap/index score with a CTV audience of reality show viewers. The financial services media team targets an ad to the reality TV audience with a more refined, relevant message ‘No cliffhangers here - save smart before rates take a dive.’. 2. Example Initiative: Reduce ad waste by suppressing disqualified audiences Use Case: Media Savings Business Objective: Efficiency Example Campaign: The MarTech team at a prominent retailer realizes that they have been including their loyalty customers in prospecting ads. The MarTech team shares the loyalty audience with its activation partners to suppress from future ad campaigns. 3. Example Initiative: Prioritize offers based on partner insights to drive more engagement Use Case: Offer Personalization Business Objective: Differentiation Example Campaign: An airline’s media team uncovers through overlap insights with their hotel partner that their luxury travelers actually prefer boutique hotels - contrary to the initial assumption of luxury hotel preference. In response, the boutique hotel business unit develops a tailored offer featuring curated recommendations from their boutique portfolio for luxury traveler audiences. 4. Example Initiative: Promote premium, complementary products to existing clients Use Case: Intelligent Upsell Business Objective: Retention Example Campaign: A travel agency partners with a ride share company to target their loyalty base with offers for Exclusive Staycation Experiences. With insights from audiences overlaps, both brands learn that the travel agency’s Gold members have a high overlap with the ride-share’s audience of Weekend Riders. The travel agency surfaces ad for 10% off of staycations through ride share company’s app.  5. Example Initiative: Maximize exposure by introducing your message to the widest relevant audience. Use Case: Broad Reach Business Objective: Growth Example Campaign: A leading beverage brand aims to grow its presence among health-conscious, trend-savvy urban millennials. Leveraging rich first-party data from loyalty programs and digital touchpoints, the brand uses Real-Time CDP Collaboration to identify publisher audiences with their CTV partner that align with its goals by tapping into publisher insights—demographics, content behavior, and engagement to activate campaigns with precision. 6. Example Initiative: Re-engage high- intent users who didn’t convert, addressing critical drop-off points in the conversion journey. Use Case: Retargeting Business Objective: Retention Example Campaign: A luxury travel brand wants to retarget authenticated users who browsed destinations like Bali or Santorini but didn’t book. The brand securely matches these users with a publishers’ audience footprint, which allows the brand to extend its retargeting capabilities beyond its owned channels. 7. Example Initiative: Evaluate the impact of media investments by measuring how ad exposure across a publisher’s properties drives engagement Use Case: Outcomes Based Measurement Business Objective: Insights Example Campaign: An online retailer partners with a premium CTV publisher to promote a new product and wants to measure how ad exposure influences purchases. The brand securely joins its conversion events with publisher ad exposure logs. Aggregated dashboards reveal which audiences and placements drove results, enabling optimization of future campaigns. 8. Example Initiative: Fuel smarter planning and maximize long-term growth with a long-time partner Use Case: Co-Marketing Business Objective: Growth Example Campaign: A long-standing partnership between a sports league and restaurant chain gets a refresh through experiential marketing. By identifying overlap in their respective loyalty programs, they invite shared members to a co-sponsored exclusive event— boosting engagement and loyalty for both brands. 9. Example Initiative: Improve current experiences to drive stickiness Use Case: Engagement Optimization Business Objective: Retention Example Campaign: An online learning platform and their partner, a documentary channel CTV brand need to improve engagement across their respective consumer journeys. Gaining insights via audience overlaps of history learners and docuseries watchers, each brand refreshes their content to be more relevant. 10. Example Initiative: Increase sales across business unit offerings Use Case: Portfolio Boost Business Objective: Retention Example Campaign: Multi-brand company unveils insights that audiences of their coffee brand have a high overlap with audiences of their chocolate brand. The marketing teams of both business units collaborate to offer complimentary (coffee & chocolate bundles) to their grocery retailers. Learn more about Real-Time CDP Collaboration.