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Unlocking Next-Gen Customer Experiences & Efficiency with Adobe Experience Platform Agent Orchestrator

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

Getting Started with AI Assistant in AEM

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.       

Introducing AEM Experience Hub

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!   

UPDATED - Important Update: IP Restrictions Feature Transition

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.

[Release Update] Adobe Journey Optimizer September 2025 Release

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.

Blueprint Released: Baseline Dashboard

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. 

Your Ideas in Action: Product Updates Based on Your Feedback

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.

Adobe Real-Time CDP: Where Collaboration Meets Value Acceleration - Fuel your strategy with Real-Time CDP Collaboration

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.

Looking for participants to try out new [LA] release of new action activity in Journeys

Hi all - Looking for feedback on new capabilities we released as limited availability    https://experienceleague.adobe.com/en/docs/journey-optimizer/using/orchestrate-journeys/about-journey-building/journey-action   The new action node will ultimately replace all of the native actions in the Journey left rail, but in this release we are allowing users to explore this workflow as an addition to the existing native channels.    Couple of points here:  The new action node is meant to simplify the canvas and cleanup the left rail. (Note in the future we intend to do something similar for events with a generic "event" node).  The new action node will reinforce patterns and UX from single-step action campaigns. - Our goal is to make single-step actions and multi-step canvas feel more cohesive.  This new action node will allow for all the new targeting capabilities to be used within the action configuration.  Mulitple inbound actions can be grouped together in a single action node, allowing for simultaneous activation and targeting across actions. This new option allows for Experimentation + Multi-Lingual workflows to work concurrently (both inbound and outbound channels). Previously, these options remained independent from each other.      If you are interested in trying this out, I would love some feedback on your usage. Please drop me a note with your Adobe ORG ID and we will look to enable you.     

[Release Update] Adobe Experience Platform August 2025 Release

August '25 release notes Check out what’s new in the latest Adobe Experience Platform release update: Release Notes New capabilities Alerts: Streaming throughput capacity alerts - Three new alerts allow users to subscribe to and configure alerts to proactively manage and monitor performance of streaming throughput capacity. New alerts include when streaming throughput reached 80%, 90%, or exceeds capacity limits. Catalog Service: Data retention for Real-Time Customer Profile -You can only update the data retention period for Real-Time Customer Profile once every 30 days. Destinations:  Acxiom Real ID Audience Connection destination: Use the Acxiom Real ID Audience Connection destination to enhance audiences with Acxiom’s Real ID technology and activate audiences to multiple platforms, such as Altice, Ampersand, Comcast, and more. Enhanced Marketo Engage destination: The enhanced Marketo Engage destination is an upgraded version of the existing (Legacy) (V2) Marketo Engage connector. This new connector brings profile sync capabilities in addition to the existing audience sync capabilities from the legacy connector, providing a tighter integration with Marketo Engage.The (Legacy) (V2) Marketo Engage connector will be deprecated in March 2026.  Experience Data Model (XDM): Model-Based Schemas - Simplify your data modeling with Model-Based Schemas. You can now create schemas more easily with comprehensive how-to examples and guidance. This feature is currently available to Campaign Orchestration license holders and will expand to Data Distiller customers at GA, making data modeling more accessible and efficient. Sandboxes: Dependency object de-duplication in importing workflow: Sandbox tooling will now always reuse existing objects if objects with the same name are detected, to avoid object proliferation. Entire sandbox support for across orgs package sharing: Sandbox tooling now supports Entire sandbox type in across org package sharing. You can now share both entire sandbox and Multi-object packages across orgs. Segmentation Service: Audience estimates - Automatically generated within Segment Builder and updated in real-time as you modify audiences. Estimates now display as a range, reflecting sampling confidence. Sources: Enhanced authentication for Azure Blob Storage - Service principal–based authentication adds stronger security, easier credential rotation, and finer access control.   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.

[Release Update] Adobe Journey Optimizer August 2025 Release

August '25 release notes Check out what's new and improved in the latest Adobe Journey Optimizer product release update: Release Notes   New capabilities Pause and resume journeys: You can now pause and resume your journeys. This capability gives journey practitioners greater control and flexibility by allowing live journeys to be temporarily suspended without disrupting customer experience. When paused, no communications are sent, and profiles remain in a suspended state until the journey is resumed. You can pause and resume one journey only, or perform bulk pause and resume operations to a group of journeys. In addition, you can apply global filters to paused journeys to exclude profiles based on their attributes. Previously released in Limited Availability, this capability is now available to all environments (General Availability). Calendar view: A calendar view is now available in the journeys and campaigns lists. It allows you to visualize all journeys and campaigns activations in the respective lists. Previously available in Limited Availability, this feature is now available to all environments. With this General Availability release, the feature includes: Design improvements for the navigation in dates, The ability to see draft campaigns if you have set a start and end date, A new setting to hide and show calendar items running for a long time. Action activity in journeys: Journey Optimizer supports a new generic Action activity that enables you to configure both single actions and multi-action inbound action groups, allowing for streamlined action configuration within the journey canvas. In particular, this new feature allows for: A simplified native action configuration within the journey canvas. The capacity to create multi-action inbound action groups. The ability to add optimization to any built-in channel action. The ability to add both experimentation and multi-lingual options to any action. This capability is available in Limited Availability. Contact your Adobe representative to gain access. 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 an attachment pack add-on. For more details, contact your Adobe representative. This capability is available in Limited Availability. Contact your Adobe representative to gain access. Optimization in campaigns: Journey Optimizer now empowers you with the tools to deliver personalized and optimized content to your audience, allowing you to run content experiments, create rule-based targeting, and use advanced combinations of both, to maximize the effectiveness of your campaigns and journeys. With Optimization, you can: Test multiple content variations to identify the most effective messaging. Deliver personalized content based on user attributes and contextual data. Combine targeting and experimentation for advanced strategies. Filter out users that do not match variant criteria. Ensure fallback mechanisms to maintain user engagement. Once the journey or campaign is live, profiles are evaluated against the defined criteria, and based on matching criteria, they are delivered with the appropriate experience or content.   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.

Smaller, Smarter, Smoother: Optimizing Video Delivery with AEM Dynamic Media Adaptive Videos

Smaller, Smarter, Smoother: Optimizing Video Delivery with AEM Dynamic Media Adaptive Videos From immersive product showcases to engaging brand stories, video content drives user engagement and conversion. According to a 2025 study, 95% of marketers now use video as a core part of their digital strategy, and 93% report positive ROI from video marketing. However, delivering high-quality videos across diverse devices and fluctuating network conditions remains a challenge. In a study conducted way back in 2012, Sitaraman and colleagues found that each additional second of load time beyond ~2 seconds increases the probability of the viewer abandoning the video by approximately 5.8%. While this study dates to 2012, its relevance persists, especially in 2025, where viewer expectations for instant playback are even higher. In this blog, we will experience together, with a demo, how buffering impacts user experience and how AEM Dynamic Media addresses it. To be specific, we will ingest an 84 MB video in AEM Dynamic Media and deliver the same video as a 2.4 MB adaptive stream, resulting in a near buffer-free experience. Before we go there, here are some basics to set the context. Limitations of Static Video Rendition (aka Progressive videos)Static video renditions—where the same resolution is served to all users—are inefficient and often lead to poor user experiences. A 4K video, for example, may look great on a desktop but is excessive for mobile screens. Users on slower networks can experience buffering or long load times, and large video files can negatively impact page performance, affecting Core Web Vitals and SEO. Clearly, a one-size-fits-all approach doesn’t work. That’s where Adaptive Video Streaming comes in. Benefits of Adaptive StreamingAdaptive video streaming dynamically adjusts video quality based on the viewer’s device and network conditions. AEM Dynamic Media supports this through:Automatic Rendition Generation: When you upload a video, AEM Dynamic Media automatically creates multiple versions of it in different resolutions (like 240p, 360p, 720p, and 1080p). This makes it easier to deliver the right quality based on the viewer’s device and internet speed. You can use built-in adaptive streaming profiles for web delivery or create custom profiles to control how your videos are encoded. Streaming Protocols: AEM Dynamic Media uses HLS (HTTP Live Streaming) and MPEG-DASH, enabling smooth bitrate switching. Smart Delivery URLs: A single URL intelligently serves the best rendition without manual intervention. Delivery at the edge: The global CDN infrastructure of Dynamic Media caches and delivers the assets at blazing speed.This ensures that end users get the best possible experience along with bandwidth savings—whether they’re on a high-speed desktop connection or a mobile device in a low-bandwidth zone. How to Identify Progressive vs. Adaptive Video Streaming on a WebsiteThis can be done easily using browser developer tools like Chrome DevTools.Please follow these stepsOpen Developer Tools Launch the website in Chrome and open DevTools (right-click → Inspect or press Ctrl+Shift+I). Go to the Network Tab Navigate to the Network tab and start playing the video on the site. Filter by Media or XHR Use the filter options to narrow down the traffic: Select Media to see video-related requests. Or filter by XHR to catch dynamically loaded chunks. Look for File Types If you see a single large .mp4 file, the site is likely using progressive streaming. If you spot a playlist file like .m3u8 (HLS) or .mpd (DASH), followed by multiple small segment files (e.g., .ts, .m4s), the site is using adaptive streaming. Watch for Multiple Requests Adaptive streaming typically involves many small XHR requests as the video plays. These chunks allow the player to adjust video quality based on network conditions, ensuring smoother playback. Streaming Type Key Indicators Progressive Single .mp4 file Adaptive (HLS/DASH) .m3u8 or .mpd + multiple .ts / .m4s/mp4 chunks via XHR  Now let's watch the the demoWatch this screen recording of a step-by-step demo showcasing how we ingest an 84 MB video into AEM Dynamic Media.First, we deliver the same video using Dynamic Media Adaptive Streaming, and you’ll see a smooth, near buffer-free experience-here is the Dynamic medias URL for the adaptive video.The original 84 MB source video was delivered as just 2.4 MB, with an instant start—highlighting the efficiency of adaptive streaming. Next, we deliver it as a progressive video while enabling network throttling to Fast 4G, where you can observe noticeable buffering. For reference, here is the progressive version of the video. Closing Remarks Customers across industries are leveraging AEM Dynamic Media Adaptive Videos for a wide range of use cases, including shopping cart videos, hero banners for travel and automotive, brand storytelling, and complex product descriptions for healthcare and scientific products. Today, AEM Dynamic Media delivers over 4 billion adaptive videos per month. In addition to Dynamic Media Cloud Services, adaptive videos are also supported in Dynamic Media Classic, Managed Services, and our new offering—Dynamic Media with Open API. Dynamic Media is a complete video solution featuring a built-in HTML5 viewer, support for multiple captions and audio tracks, AI-driven smart crop, and AI-generated captions. If you haven’t already, get started with AEM Dynamic Media Video today! Last, but not least, our team has launched an early access program for a next generation video viewer for Dynamic Media offering accessibility (WCAG 2.2 compliance), enhanced UX and performance. Please review this blog to join our VIP Early Access Program.

What’s new with Adobe Real-Time CDP Collaboration: Acquire new customers and personalize experiences with new data partnership capabilities in Adobe Real-Time CDP

Primer on Real-Time CDP Collaboration Launched in February 2025 in the US, Australia & New Zealand in May 2025 with additional availability coming soon, Adobe Real-Time CDP Collaboration is a purpose-built data collaboration application that empowers brands and publishers to discover, activate and measure high value audiences to drive tangible results. Using patent pending sketch technology, audience data is read from its source, regardless of location, to surface real-time audience insights without having to build custom and resource heavy clean room environments. What’s new Collaboration initially launched with an initial set of CTV publishers, now we’re expanding into cross-channel data collaboration at scale. As of this launch, brands can now work with their strategic brand partners to engage in co-marketing or cross- advertising use cases. Brands can independently or jointly deliver compelling experiences across channels, from paid to owned, and throughout the customer lifecycle from acquisition through to loyalty. These capabilities help enterprises use more precise signals and more targeted audiences, overcoming the new landscape of privacy measures and third-party signal loss. How Adobe stands out Check out our blog post on Adobe.com and read about how MLB is furthering their fan experiences using Collaboration in this piece by Marketing Dive.    

Deprecation of Forward to a Friend

Notice of Deprecation of Forward to Friend functionality   As of September 29, 2025, the Forward to a Friend feature in Marketo Engage 2.0 emails will be completely deprecated for all customers. This will affect the Forward to a Friend token and Forward to a Friend links in emails that have already been or will be sent using the token.   Why is this deprecation happening? A security vulnerability was found with the Forward to a Friend email URL that could allow an attacker to forward an email they themselves had not received by using an mkt_tok  value. While data is not exposed to the attacker or recipient, and recipients of forwarded emails are not subscribed to receive future emails, there is a brand risk and risk of email complaints to ESPs.   In addition, this functionality has very low adoption among the Marketo Engage customer base and is not planned to be brought forward into the new Email Designer.   How do I know if this deprecation affects me? If your emails use the Forward to a Friend token this deprecation will impact you. If you need to verify if leads have recently interacted with any Forward to a Friend links in your emails, you can build a Smart List using the “Sent Forward to Friend Email” and/or “Received Forward to Friend” filters.   Due to the low adoption of this feature, and the low click rate of these links, we do not anticipate this being an impactful change to customers.   What is the behavior of the Forward to a Friend token post-deprecation? The Forward to a Friend token will be removed from suggestion menus in the email editor Forward to a Friend links in emails that are already sent, and inboxes will resolve to a page with an error message “An error occurred while forward to friend.” If a Forward to a Friend token is used in emails send post-deprecation, no URL will be populated, and the token will resolve to a single whitespace “Received Forward to Friend” and “Sent Forward to Friend Email” triggers and filters will remain in Smart Campaign and Smart List selections at this time.   Can I deprecate this feature in my instance before September 29th?   Yes. We can deprecate on a per subscription basis beginning September 1, 2025. Please reach out to Customer Support to coordinate.   Can I delay the deprecation of this feature for my instance? No. This deprecation will happen on September 29th for all customers.

Introducing the Next-Generation Video Player in AEM Dynamic Media – Now in Early Access!

We’re excited to announce the early access launch of our all-new Dynamic Media Video Player – a faster, smarter, and more accessible upgrade to our existing player. Reimagined from the ground up, this next-gen player is built to deliver a premium viewing experience while giving your brand the performance edge it deserves.We’re inviting select customers to join our VIP Early Access Program! What’s New?Blazing Fast PerformanceOur new lightweight player drastically reduces load times, keeping your site snappy and responsive – no matter the connection speed. We have noticed almost 20% reduction in load time and 55-65% reduction in LCP.  .                             Savings of 70% bytes served for player images and 40% for player JS Adaptive Streaming for Seamless PlaybackComes with full adaptive bitrate streaming support through which the player dynamically adjusts video quality based on the viewer’s bandwidth and device capabilities. That means smoother playback, fewer interruptions, and better engagement across all network conditions. Enhanced Accessibility (WCAG 2.2 Compliant)Designed with inclusivity in mind, the player supports screen readers, keyboard navigation, and high-contrast modes — ensuring compliance and a better experience for all users. Modern UI & UXA clean, intuitive interface optimised for both desktop and mobile devices featuring modern default icons.  Why Join the Early Access Program?We’re inviting select customers to join our VIP Early Access Program — an exclusive opportunity to:Be among the first to experience the new video player in real-world use cases Gain early access to adaptive streaming capabilities and performance enhancements Provide direct feedback to help shape the final release Work closely with our product and engineering teams Ready to Take the Lead?If you're passionate about delivering high-impact video experiences and want to get early access to our most advanced player yet, sign up for VIP access today: 👉 Request VIP Access