Adobe Real-Time Customer Data Platform

Join the Adobe Champion Program and become a part of a global community of passionate product experts who are driving thought leadership and innovation!     Adobe Experience Platform Champion Applications are open through June 10!   Program BenefitsThe Adobe Champion Program provides a unique opportunity for expert Adobe Experience Platform (Adobe Journey Optimizer B2C and Real-Time CDP) practitioners to:1) Accelerate their personal and professional growth by collaborating with fellow Adobe Experience Platform (Adobe Journey Optimizer B2C and Real-Time CDP) experts and Adobe product and engineering leaders;2) Share their product expertise and best practices with the broader Adobe Experience Platform (Adobe Journey Optimizer B2C and Real-Time CDP) community; and3) Engage in exclusive speaking, content creation, thought leadership opportunities to showcase your expertise.   Program MissionAdobe Champions enhance the Adobe Experience Platform (Adobe

Hi, I have a schema in prod and there is an ID field in it(like CRMID for example). The source datatype given to us in INT64 and I have used 'integer' datatype in AEP. After doing data ingestion, I see few negative values and few positive values and all values look incorrect compared to source values for this ID. Example 723456789123 is the value in source file and I'm seeing -1234567890 and 1234567890 values in AEP after data ingestion.The mapping is done correctly and I don't see any errors in my dataflow. What could be the reason for this? Any suggestions how to proceed with this will be helpful.  Also, for our use case, we have not enabled Schema and Dataset for profile. So, incase if I update datatype, what are the next steps I can take, to get the old incorrect data also corrected? Or first to just test this process, how can I copy/ duplicate schema.  Regards,Ramyasri 

Authors: @kumarsameer , @pratibhas Reviewers: @saswataghosh, @kniwa, @rishabhc, @erikru & @ruchita_ghaskadvi  If you’ve worked with the Adobe Experience Platform (AEP) B2B data model, you know it offers a wealth of opportunities for gaining valuable insights. Adobe’s Account Profiles Dashboard within AEP is a powerful tool designed to help businesses harness the full potential of their B2B data.In this blog, we’ll explore how to effectively use the Account Profiles Dashboard to maximize its benefits. We’ll walk you through the key fields and widgets and offer guidance on how to leverage this dashboard to enhance your business strategies.What’s inside the Account Profiles Dashboard?Imagine having a tool that aggregates all your B2B data into one cohesive presentation, giving you a crystal-clear view of your accounts. That’s what the Account Profiles Dashboard in AEP does. It’s your go-to for analyzing and visualizing account dat

Image credits: Adobe Firefly Imagine if you could peek into the future and know exactly who would respond best to your marketing efforts, what actions would drive conversions, and how to maximize each campaign's ROI. This isn’t just a dream—it’s Adobe Real-time CDP Customer AI in action. In this post, we’ll explore common marketing scenarios and show how setting up clear prediction goals and audience strategies can help you make smarter, data-driven decisions.  1. Promotions with Precision: Targeting the Right Customers for Your Promo Codes Scenario: You’re planning a promotional campaign and want to prioritize customers who would benefit the most from promo codes. But who really needs them? Business Goal: Drive conversions with the minimum amount of discounting to maximize profitability. Prediction Statement: Predict which customers are most likely to purchase in the next 30 days. Audience Strategy: Split your audience based on their likelihood to co

Image credits: Adobe Firefly In the last blogpost, we learned how to identify a prediction statement from your business goals and context. In this post, we will outline how you can take a prediction statement, build predictions using Adobe Real-time CDP Customer AI, and then create intelligent audiences using these predictions. Let’s say our prediction statement is to “Predict who’s most likely to purchase product X in the next 30 days using web behavior data and customer product holding and loyalty status.” This goal provides us with several key components that guide the setup of a Customer AI app. (a.k.a. predictive model)   Here’s how each element of this goal translates to the core concepts of predictive modeling.  1. Input Data: Time Series and Events  What are Time Series and Events? These are signals that capture user actions or behaviors over time. In our goal, “web behavior data” is a time series input because it tracks actions like

if we have more than one merge policy, then there will be more than one profile snapshot table for individual profile. how can we differentiate which snapshot table is for which merge policy. any idea? please help.

Adobe analytics web & app are two separate report suite. As a result they are two separate schema and hence two separate dataset in AEP. Is there a known limitation or official document that says that adobe analytics connector can only connect to one report-suite (so one schema) in the lower sandbox env ?

I've been receiving the error below while activating to a streaming destination. Is there a way to figure out which profiles were excluded from being activated? One idea is to create the same audience as a batch audience and activate to a sftp or S3 bucket. Then identify the profiles that were excluded. Another is to query the profile snapshot to identify profiles that are part of the audience and then query them further for the existence of the required identity attribute.Is there a simpler/faster way or log where AEP would actually show you example profiles whenever it excludes them from being activated to a streaming destination? Wanting to know before I embark on researching via the approaches above.... Error description provided in the 'Dataflow Run details' screen for the destination activation: 'No valid identities were found on the profile. This can indicate that several of the exported profiles are missing an identity attribute that was set as source field in th

In Adobe AEP, Is there any way to find the average global evaluation job times over the last 12 months ?

Hello RTCDP Community users, We’re continually inspired by how you’re using Adobe Real-Time Customer Data Platform to create meaningful impact. Your insights not only showcase what’s possible but they also empower others to make smarter, more confident decisions.We’d truly appreciate it if you could take 10 minutes to share your experience on Gartner Peer Insights. Your feedback plays a key role in shaping Adobe’s position in the Voice of the Customer report and contributes to our eligibility for the Customers’ Choice recognition. Most importantly, your voice helps guide peers in choosing the right solution for their needs.As a thank you for your time, you’ll have the option to receive a $25 gift card when your review is published!Start your review here!Important details to keep in mind:Reviews are anonymous. Only your role, industry, and organization size are displayed.Updated reviews are welcome. If you submitted a review in the past and have new insights to

Hi,is there a way to limit the creation or publish or both at user/role permission level in AEP?i d like to have an approval process for audience creation and publish but i cannot find anything about this in the Permission section

in creating audiences what are the uses cases for choosing compose audience vs segment builder? thanks

hi,while creating an audience (or segment if using the old name) when is it best to an attribute or an event?let s say you want to create an audience based on users having visited the page Product.would you use the attribute page Name or the event page Name?what s the rationale of each selection?

We ran into a faulty schema-design issue that we are trying to resolve in a client's PROD sandbox. We have a profile-enabled experience-event dataset that contains about a year's worth of streaming event-data. This dataset is based on a profile-enabled schema that has 3 identities - ECID and 2 other identities, each mapped to different cross-device ID namespaces. It has been determined that the 2 identities of the schema/dataset were mapped incorrectly to existing 2-cross-device ID namespaces. We are attempting to do the following: 1. Demote the 2 attributes that are currently assigned as identities and turn them into 'regular' attributes. The dataset is the only dataset that is derived from the parent schema. There are no other datasets based on the schema.2. Assign 2 new/different attributes as identities on the schema. These new identities will be using 2 new namespaces - different from what the 2 original identities were using. ECID will remain the same - no changes

Image credits: Adobe Firefly   In the last two posts, we explored how to identify prediction opportunities that align with your business goals and discussed the steps to build those predictions using Adobe Real-time CDP Customer AI. Now, let’s dive deeper into the process of translating a prediction goal into a fully functional Customer AI predictions which can be used to build intelligent audiences right away!   When working with Adobe Real-time CDP Customer AI, it’s essential to know how to interpret the metrics and results to make strategic decisions. Here's a simple breakdown of key metrics and charts, explained with analogies to make them easier to grasp.    1. Trusting the Prediction Quality Using AUC    What is AUC?  The AUC, or Area Under the Curve, measures how well your model can distinguish between likely responders (customers who will take action) and non-responders. The closer the AUC score is to 1.0, the better the model is at separatin

We are thrilled to announce applications are now open for 2025-2026 Adobe Experience Platform. Adobe Champions represent an elite group of our most advanced users and brand ambassadors for these fundamental Experience Cloud products. Each year, a cohort of expert practitioners from around the globe submit applications to be selected to participate in the Champion Program. The individuals chosen are provided with opportunities to share their expertise, exchange best practices and learn from fellow product experts, and interact with Adobe product teams and leaders. Program ObjectivesDevelop deep connections with our most knowledgeable customers and partners to be our “voice” within Adobe’s customer communityActivate Champions for feedback, exclusive thought leadership and speaking opportunities, customer references, and to help drive product adoptionDrive customer advocacy and evangelism of Adobe Experience Platform products and the Adobe brand Apply now to become an Adobe

Hello Team,If an event happens in the past but gets sent late, will streaming segmentation still use it, or does it only count for batch or scheduled segment updates?

Hello, I am trying to use the SFTP Destination Connector in RTCDP and running into an authentication error. The destination is SFMC and I have created a SSH key and added it to my FTP account in SFMC following the documentation listed below. Ive also followed the Adobe documentation on troubleshooting such errors but I am still getting an authentication error when trying to connect to the destination. Any tips on how to resolve this would be greatly appreciated!

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