Adobe Real-Time Customer Data Platform

Tuesday tech Bytes: RTCDP - Week 05 – Adobe Event Forwarding Intro Benefits & Top Use cases

Server-side tag management offers several advantages over traditional client-side tag management, particularly in terms of performance, security, and data accuracy. Adobe event forwarding allows you to send collected event data from Adobe Experience Platform Edge Network to non-Adobe destinations for server-side processing, it is a powerful way to streamline data collection and distribution while improving website performance and data governance. Here are the key points about Adobe event forwarding: Purpose: It allows you to send data to third-party, non-Adobe vendors directly from Adobe's Edge Network instead of from the client-side browser (in some cases in addition to client side data sent). Benefits: Improved Website Performance: Server-side tag management reduces the load on the client’s browser by handling tag execution on the server. This leads to faster page load times and a better user experience, as fewer scripts need to be executed on the client side. Enhanced Data Secur

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AnkitJasani29Level 6

Destination Activation Replay for Missed or Failed DeliveriesNew

Description:Introduce a Destination Activation Replay feature that tracks failed or missed activation (e.g., due to API downtime, schema mismatch, rate limits) and allows for automatic or manual reprocessing once the destination becomes healthy again - ensuring no critical activation is permanently lost. Why is this feature important?Ensures activation reliability - campaigns or journeys shouldn't silently miss users due to transient destination errors.Helps marketers and engineers troubleshoot and recover from downstream failures without rebuilding segments or pipelines.Supports auditability and compliance, with logs showing which profiles were successfully activated, which failed, and which are pending retry.Prevents data loss during outages, especially when targeting time-sensitive audiences like flash sales or churn interventions.Current Behavior:If a destination (e.g., Facebook, Google Ads, webhook, custom API) fails during profile export, the activation fails silently or log

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AnkitJasani29Level 6

Source Health Dashboard with Real-Time Data Flow Monitoring & AlertingNew

Description:Introduce a Source Health Dashboard that monitors the status, freshness, volume, and latency of incoming data sources (batch and streaming) in real time. Add alerting features for drops in ingestion, data schema mismatches, or unusual data volume patterns. Why is this feature important?Ensures data quality and trust across the platform by surfacing real-time issues with source integrations.Reduces diagnostic time for ingestion failures that silently impact audience building or segmentation.Proactively alerts technical and marketing teams to source failures, stale data, or delays, preventing downstream impacts on campaigns and decisioning.Supports data governance and operational excellence in data-driven organizations. Current Behavior:Source connection status (e.g., for streaming or scheduled batch uploads) is not actively monitored in a centralized dashboard.Failures may go unnoticed until audience segments look wrong or campaigns underperform.There is no built-i

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AnkitJasani29Level 6

Audience Fatigue Detection and Adaptive Frequency CappingNew

Description:Introduce a real-time audience fatigue scoring mechanism that tracks user responsiveness (or lack thereof) across channels (email, push, ads, etc.) and automatically adjusts frequency caps or suppresses the user from further campaigns until engagement improves. Why is this feature important?Prevents over-messaging and burnout, which leads to unsubscribes, opt-outs, and negative brand perception.Allows more intelligent campaign pacing - showing restraint can often improve long-term engagement.Reduces manual guesswork around send frequency by making decisions based on real-time engagement signals (opens, clicks, site visits, etc.).Optimizes deliverability and compliance, especially in regulated regions with communication limits.Current Behavior:Frequency capping is usually static and channel-specific (e.g., max 3 emails/week).No native cross-channel fatigue detection or unified scoring that evaluates all touchpoints.CDP does not dynamically adjust campaign eligibility ba

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AnkitJasani29Level 6

Predictive Audience Lifetime Value (LTV) Scoring for Dynamic Campaign PrioritizationNew

Description:Introduce a predictive LTV (Lifetime Value) model natively inside Real-Time CDP that scores customers dynamically based on their engagement, transactions, browsing behavior, and other attributes - allowing marketers to automatically prioritize higher-value users for premium campaigns, offers, and loyalty experiences.Why is this feature important?Maximizes ROI by investing marketing resources in users who are likely to bring more revenue over time.Enables smarter segmentation beyond simple past-purchase or recency-frequency models.Enhances personalization by aligning offer types, discount levels, and campaign intensity based on user potential value.Improves strategic planning by giving marketing, sales, and service teams a predictive view of customer quality, not just quantity.Current Behavior:Marketers manually segment users based on historical transactions like total purchase value or number of orders.No predictive scoring available natively in Real-Time CDP; advanced LTV

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AnkitJasani29Level 6

Real-Time Audience Suppression Based on Recent Negative EventsNew

Description:Enable dynamic suppression of users from active marketing campaigns in real time based on recent negative experiences - such as failed transactions, customer complaints, or product returns - using Adobe Real-Time CDP signals and event-based triggers.Suppressed users can be re-evaluated for reactivation once an issue is resolved. Why is this feature important?Prevents wasting marketing budget by sending promotions to frustrated customers who are temporarily disengaged.Improves brand perception by respecting user sentiment and avoiding tone-deaf marketing outreach during sensitive moments.Reduces churn by showing customers you are listening and responding appropriately to their issues.Current Behavior:Audience suppression typically relies on static exclusion lists updated periodically (daily or weekly).No native real-time suppression based on live customer service data, failed transactions, or dissatisfaction signals.There’s no automated mechanism in Real-Time CDP to tem

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AnkitJasani29Level 6

Predictive Audience Churn Modeling with Real-Time InterventionsNew

Description:Introduce a feature in Adobe Real-Time CDP that utilizes machine learning to predict customer churn based on real-time behavioral and transactional data. The system would allow marketers to define churn-risk thresholds and automatically activate personalized retention journeys (e.g., email offers, push notifications, or loyalty incentives). It would also maintain a version history of churn prediction models for transparency, comparison, and improvement over time. Why is this feature important?Increases ROI of marketing campaigns through targeted retention efforts.Enables real-time action, which is crucial for saving at-risk customers.Provides transparency and iterative improvement through model versioning.Supports personalization at scale with minimal manual effort.Reduces revenue loss by proactively identifying customers likely to churn. Current Behavior:Adobe Real-Time CDP allows segmentation and audience activation, but lacks built-in churn prediction and autom

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AnkitJasani29Level 6

Known Limitations or Delays When Using Streaming Data Sources in Adobe RTCDP

I'm working with streaming data sources and wanted to check if there are any known limitations or delays when it comes to processing or qualifying data in real time. Specifically, I’m curious about:Any known lags or edge cases where real-time processing might not behave as expectedBest practices to minimize delays or troubleshoot issuesWould love to hear from others who’ve worked with streaming data in RTCDP. Thanks in advance for your help!

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Parth1Level 2

AEP/RT_CDP : Schema migration to preprod environment

Hi Team, in ABC named schema, i have fieldgroup 123 and identity PQRI have already moved fieldgroup to preprod environment and identity is already created in PreprodI have created package for this schema where fieldgroup and identity is already present. Concern is for identity when i try to import package in preprod environment and click on modules that either needs to be created or existing can be use. I am able to use for fieldgroup but i am not able to see identity which is present in preprod and because of which i am not able to select. i know other way is to create each field in stage but do we have any option where i can see identity and select as ues Existing? Any help would be appreciated?

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AnkitJasani29Level 6

Collaborative Audience Building with Version History and Comments in Adobe RTCDPNew

Description:Introduce the ability for multiple users to collaboratively build and refine audience definitions in Adobe Real-Time CDP with support for version history, change tracking, and inline comments.This feature would help cross-functional teams (marketers, analysts, data scientists) work together more efficiently while ensuring traceability and reducing errors in audience logic. Why is this feature important to you:Audience building often involves multiple team members, and right now, it’s hard to track who made what changes or why.Sometimes, edits overwrite each other or lead to confusion without proper documentation or context. How would you like the feature to work:Each saved audience should include a version history, showing what was changed, when, and by whom.Users should be able to leave inline comments on specific filters or conditions (like commenting in Google Docs).Rollback functionality should allow users to restore a previous version if needed.Notifications

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FilipeFreitasLevel 3

How to create a computed attribute that counts the total of email opens in the last month?

Dear Community, I am a RTCDP and AJO user who is trying to create a computed attribute that counts the amount of emails a user has opened in the previous month. I am struggling to create it and I am writing to see whether anybody can help me solving the issue. The purpose is to a have this field at profile level, even knowing that we can count the amount of emails opened when creating audiences. How was it created?It was created by applying the following settings: -select interactionType event -equals "Message opened"-Count-1 Month-Fast refresh is checked The definition looks like this: It generates the following expression:xEvent[_experience.customerJourneyManagement.messageInteraction.interactionType in ["open"]].count() After creating it, I noticed the info "Summary data is not available for this field due to lack of clustered values" in the InteractionType field. Is this somehow related to the Summaries job? I admit I didn't understand it. &n

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FilipeFreitasLevel 3

Computed Attribues created from System generated datasetsNew

Description - It would be nice to have at profile-level the amount of emails each profile have received and opened in the last 30 days.Why is this feature important to you - It would be possible to address journeys based on communication-engagement withouth having to do it at audience-level. How would you like the feature to work - a computted attribute that returns the count of emails a profile have received/ opened in the last 30 days, something link:xEvent[_experience.customerJourneyManagement.messageInteraction.interactionType in ["open"]].count() Current Behaviour - Computed Attributes currently do not support System generated datasets

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abhinavbalooniCommunity Advisor

Tuesday tech Bytes: RTCDP - Week 06 – Maximizing Your Experience with Adobe RTCDP: Best Practices

Adobe Real-Time Customer Data Platform (RTCDP) is a powerful tool for marketers and data analysts alike. By enabling businesses to unify customer data from various sources and deliver personalized experiences in real-time, it has become an essential part of the modern marketing stack. However, to fully harness its potential, it’s important to follow best practices that ensure effective and efficient use of the platform. Below are some key strategies to get the most out of Adobe RT-CDP.   1. Establish Clear Objectives and KPIs Before diving into the technical aspects of Adobe RTCDP, it’s crucial to define what you want to achieve. Whether your goal is to improve customer retention, increase cross-sell opportunities, or enhance customer engagement, having clear objectives will guide your use of the platform. Additionally, establish Key Performance Indicators (KPIs) that align with these objectives. These metrics will help you measure the success of your efforts and make data-driven

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AnkitJasani29Level 6

Real-Time Lookalike Audience Generation Using AINew

DescriptionIntroduce the ability to generate real-time lookalike audiences based on existing high-performing audiences using AI/ML models within Adobe RTCDP.This feature would allow marketers and data practitioners to automatically expand reach by targeting users with similar behaviors, attributes, or engagement patterns - without needing to define static rules manually. Why is this feature important to you:We want to reach more customers who behave like our recent buyers without manual effort.Manually creating similar audiences is time-consuming and often misses key traits. How would you like the feature to work:When viewing a audience like "Recent Purchasers," click a button to generate a lookalike.RTCDP should use AI to find similar profiles and update the audience in real-time. Current Behaviour:There’s no option to automatically find and target similar users.Marketers must rebuild rules or export data to external tools for this purpose. Use Case:A brand wants t

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NickMannionCommunity Advisor

Next Mentorship Program

Hi Adobe Community,I was looking through some old documentation here and I saw that there was a mentorship program that ran over the summer. Does anyone know if there will be another one running in the near future? I am looking to get my RTCDP certification and would love to join this program as an aspirant. Thanks,Nick

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kautuk_sahniCommunity Manager

Adobe Summit 2025: AEP & RTCDP Session Recordings Now Available!

We’re excited to share the on-demand session recordings from Adobe Summit 2025, specifically focused on AEP & RTCDP. Whether you want to revisit a session or catch up on ones you missed, this curated list brings together the most relevant insights for AEP & RTCDP users, practitioners, and champions. Check out the full list of sessions below – organized for quick reference, with direct links to each recording: Session Name Speakers (Name & Designation) Recording Link Accelerating Audiences: Learn How to Action on Your Audience Strategy [S508] Josee Healey, Sr. Product Marketing Manager - Adobe Real-Time CDP, Adobe / Shelby Mansuri, Sr. Manager, Product Management, Adobe Recording Link Adapting to Evolving Challenges in the Media and Advertising Industry [S941] Ian Dejong, Principal Strategist - Media, Entertainment & Trust, Adobe / Angelo Sinibaldi, Director Data Commercialization and Strategy, Nine Entertainment Recording Link AI-Driven Excellence: How AI As

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dougm86972625Adobe Employee

Experience League LIVE: Post-session discussion - Don’t Wait… Collaborate! Introducing Real-Time CDP Collaboration

Use this thread to ask any questions related to the Experience League LIVE session titled, "Don’t Wait… Collaborate! Introducing Real-Time CDP Collaboration." Experts are monitoring this thread to ensure your questions are answered. Thanks and we hope to hear from you!

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ChanuteJoLevel 3

On Demand Segment Evaluation

Dear community, I've been trying to create an On Deman Segment Evaluation but I keep getting the same error (Attached in images). The link I followed is here (https://experienceleague.adobe.com/en/docs/experience-cloud-kcs/kbarticles/ka-19251) I tried using all types of Audiences (Published, Draft, using already created, and newly created audience). I have attached the body below and the URL Endpoint is (https://platform.adobe.io/data/core/ups/segment/jobs). Please guide me onto how I could resolve this issue and do not hesitate if you need any more information. JSON Body Below :  {   "segmentId": "de252a01-c4f8-473b-99ec-341db56221ca"}Best regardsSching

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KotiSyamalaLevel 5

Allow Separate Path for Each Dataset Under a Connect for S3 Dataset ActivationNew

Why is this feature important to you:This feature is essential because it improves data organization and management within Adobe Real-Time Customer Data Platform (RT-CDP) when activating datasets to Amazon S3. By allowing separate paths for each dataset, we can ensure more precise data handling. How would you like the feature to work:I envision this feature working by enabling users to define unique paths for each dataset within a connection. When setting up a connect for S3 dataset activation, users should have the option to specify a distinct path for each dataset, allowing for more granular control over data flow and storage. This could be implemented through an intuitive interface where users can easily assign paths during the connect configuration process. Current Behaviour:Currently, RT-CDP does not support separate paths for each dataset under a connect for S3 dataset activation. All datasets are managed under a single path, which can lead to challenges in data organiz

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ChuckMi3Adobe Employee

Experience League LIVE - Don’t Wait… Collaborate! Introducing Real-Time CDP Collaboration

Live stream show details:Now available for US customers, Real-Time CDP Collaboration provides purpose-built, user-friendly, privacy-centric data collaboration for brands and publishers. It helps you, our customers, discover, activate and measure audiences to maximize ad revenue and power paid media efforts at the pace of paid marketing. As always, this live session lets you ask questions in the chat and get answers from the experts. Date: April 10, 2025Time: 9:00 am PTCan’t make it? Sign up anyway and we will send you the recording afterward. We hope to see you there!REGISTER NOW!

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Indra-2Community Advisor

What is the importance of the profile_export_for_destination_merge_policy__XXX dataset in AEP ?

What is the importance of the profile_export_for_destination_merge_policy__XXX dataset in AEP?  How different is it from Profile_Snapshot__XX?

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UpasnaShLevel 2

Issue in Creating a Mapping set for a destination data flow using AEP API's

Hi, Need help with error received when creating mapping set for a destination data flow using API. This error is received at create mapping step in this document.  https://experienceleague.adobe.com/docs/experience-platform/destinations/api/activate-segments-file-based-destinations.html?lang=en#create-mapping-set Error:{"status": "FAILED","source": "segmentMembership.seg_namespace.seg_id.status","destination": "segmentMembership_status","sourceType": "text/x.schema-path","errors": [{"exception": "The XDM path: segmentMembership_status is invalid. Please update the XDM path and try again.","errorCode": "MAPPER-3809-400","errorType": "ERROR","missingRequiredFieldError": false}],"warnings": [],"hasMissingRequiredFieldMapping": false,"destAccessEnabled": true,"accessDeniedOnRequiredField": false,"srcAccessEnabled": true},   Any help is appreciated!Thanks. 

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RenatoZuLevel 2

Measure CDP monthly active users

Hi! Is there a way to measure the Monthly Active Users (MAU) of the RT-CDP? I would like to start measuring CDP adoption, so I'm planning to track it by the MAU. If you have other ideas on how to measure it, I would like to hear them.  Thanks! 

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RenatoZuLevel 2

Connection to PowerBI using Query Service - sslmode

Hi, I'm trying to connect PowerBI to Query Service. However, I'm running into a problem "Unable to connect". It's says that only secure connections are supported, and that I have to set "sslmode" as "require" in connection settings. Where do I have to set that while connecting to PostgreSQL? Thanks

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Rudi-ShumpertAdobe Employee

AI Assistant in Adobe Experience Platform Use Case: Audience Clean-Up

Recently Adobe released the AI Assistant for Adobe Experience Platform, and I have finally had time to start working with it and testing it out. After reading the blog post  “AI Assistant helps optimize marketing operations by de-cluttering audiences in minutes!” (https://experienceleaguecommunities.adobe.com/t5/adobe-experience-platform-blogs/ai-assistant-helps-optimize-marketing-operations-by-de/ba-p/696002 ) I wanted to see this use case in action for myself.       The use case presented is how to have AI Assistant help you find Audiences in Adobe Experience Platform that have no profiles and never been activated to a destination. I followed the questions and prompts in the original blog post.    Which Audiences have 0 profiles?  Which of my Audiences have never been activated to a destination?  What are some best practices for deleting an Audience?  Which of my audiences have never been activated to a destination and have 0 pr

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