Adobe Experience Platform

From Data to Decisions: Offer Log Mastery with Query Pro ModeAuthor: @annamalai  (Senior Product Manager)Reviewer: Arun Manoharan (Director Product Manager)SQL: Jabeerulla Shaik (Software Development Engineer)In the world of campaigns, real-time offers, and decisioning, one key governance activity is auditing what offers and decisions were made programmatically. This becomes even more important and interesting for highly regulated industries like health care, financial services, telecom, etc. Campaign managers and marketing technologists often collaborate with data analysts to understand and build reports that present an auditable view of offers and other marketing activities.In this document, we will show how to enable marketing campaign managers and analysts to build reports with the easy-to-use Data Distiller's Query Pro Mode template.Use CasesAt Offer Level: Select one or more offer IDs and see the profile identitiesAt Profile Level: Select one or more profile identi

Hi,I was creating a data view in Customer Journey Analytics and I got an "undefined" value in the "External ID" field. Where does that value come from and how do I debug it? Also how is this field leveraged?Thanks,MJ

In this blog, we'll walk you through the process of exporting derived datasets created in Data Distiller for various enterprise use cases, such as AI/ML and enterprise reporting. Using the built-in data export capabilities, you'll be able to effortlessly move datasets to the supported destinations via the Data Distiller SKU. This detailed guide is designed to simplify the entire export process, ensuring smooth and efficient data transfer.Step 1: Introduction to Data ExportBefore starting, ensure that your data is stored in the Data Landing Zone. Access to this zone requires REST APIs and Postman for setup.In this tutorial, we'll walk through the process of exporting the derived dataset to one of the Cloud Storage locations supported Data Landing Zone.Step 2: Navigating the Export ProcessOpen DestinationsNavigate to the Destinations section on the left-hand menu.Ensure you are on the Catalog tab.Filter the Data TypesUnder Data Types, select Datasets only.In the Cloud Storage options, lo

In this comprehensive tutorial, we're set to explore the creation of an Insights data model, employing the customizable insights capability offered by Data Distiller. Through a detailed step-by-step demo, I aim to improve your data workflows by adapting insights data models to meet your unique requirements.Review Demo Here: Link to Customizable Insights by Data Distiller tutorial Step 1: Introduction to Insights Data Model CreationThe purpose here is to create an insights data model that can handle various KPIs and  trends over time, leveraging the powerful capabilities of Data Distiller. Adobe Real-Time Customer Data Platform offers a range of out-of-the-box data models, but the focus will be on how to customize these to fit our specific requirements.Step 2: Creating the Data ModelFirst, it's essential to create the necessary database, schema, and tables that will store information. Then give the insights data model a user-friendly name which will be displayed in the Da

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

OverviewThe Data Distiller Use Case & Capability Matrix is a powerful framework designed to help organizations harness the full potential of their data. By outlining critical use cases, such as customer data onboarding, ETL (extract, transform, load) operations, and batch audience segmentation, the matrix provides a clear roadmap for leveraging Data Distiller’s capabilities to meet key business objectives.This comprehensive guide pairs each use case with detailed descriptions, benefits, and core functionalities, allowing organizations to streamline their data-driven processes with precision. By utilizing these capabilities, businesses can enhance consistency in marketing, optimize data transformations within their data lakes, and drive actionable insights from large-scale audience segmentation. The matrix ultimately serves as a pathway to unlock the true value of data through tailored solutions, helping organizations address their unique data challenges.How to Use the Data Distille

Perform Advanced Audience Overlap Analysis in Data Distiller Query Pro ModeAuthor: @annamalai  (Senior Product Manager) & @pk83124183  (Architect)Reviewers: @saurabhma2  (Group Product Manager) & @ @anilmalkani  (Director Engineering) Welcome to a guide on utilizing Data Distiller's Query Pro Mode to create a SQL based analysis template that performs Advanced Audience Overlaps.First let’s look at why different personas would be interested in performing this analysis?Use Cases by different personasMarketerCampaign Optimization: Identify overlapping audiences across different campaigns to reduce duplication and optimize marketing strategy by understanding campaign performance concerning the audiences.Marketing OpsData Hygiene: Analyze and eliminate duplicate audience segments to ensure deduplicated datasets for downstream activations.Efficiency in Activation: Prevent activating the same set of profiles via different audiences

Authors:  @horiag, @rachel_hanessia, @Danny-Miller, @shaistah Design: @BrookeBe  Editors: @namita_krishnan, @asults, @huongvu  In our previous post, we highlighted how a marketing operations specialist was able to reduce time from hours to minutes by leveraging AI Assistant to clean up audiences. In this post, we explore the challenges of onboarding new team members to Experience Platform, and how AI Assistant can ease this process by reducing the time required for new hires to become productive. When a new marketing operations manager joins, the first steps they take in the onboarding process are to become familiar with the platform, such as learning how to create, monitor, and evaluate campaigns. Before AI Assistant, this onboarding process often took anywhere from three weeks to over a month, heavily relying on digging through documentation. This experience was articulated through a recent marketing operations hire for one

Dear AEP Community, Your time is precious, and we understand the importance of efficiency when it comes to troubleshooting issues with Adobe Experience Platform.That's why we're excited to again bring you our carefully curated collection of Top KCS (Knowledge-Base) Articles for September 2024, designed to help you resolve common challenges swiftly and effectively. Our Top KCS Articles are your shortcut to: Quickly identifying and resolving recurring issues.Accessing expert insights and best practices for AEP.Streamlining your troubleshooting process for maximum productivity.Empowering yourself with the knowledge to tackle any AEP-related problem head-on. Why spend hours searching for solutions, when our Top KCS Articles have already done the heavy lifting for you?Let us help you save time so you can focus on what truly matters – creating highly personalized digital experiences with AEP. Start supercharging your problem-solving skills today by exploring our

Authors:@annamalai , Sr. Product Manager@richbeaver , Software ArchitectSummaryWe are thrilled to announce the release of one of our most powerful features to date: Drill Throughs in Query Pro Mode. This innovative capability transforms how you navigate and explore your data, allowing you to move seamlessly from high-level overviews to in-depth reports without missing a beat.Dive Deeper with EaseWith Drill Throughs, you can now navigate effortlessly from any chart to a new dashboard, enabling a multi-layered exploration of your data. Whether you’re analyzing sales trends, customer behavior, or operational metrics, this feature allows you to transition smoothly between different levels of granularity, ensuring that you always have the context you need.Continuity Across DashboardsThe system automatically passes global filters and date range filters from the source to target dashboards, ensuring that the analysis you start is seamlessly continued across the entire Drill Through

IntroductionIn the data-driven world of today, having the right tools to visualize and analyze your data is more crucial than ever. We are thrilled to announce Query Pro Mode: a series of powerful upgrades to Data Distiller Customizable Insights, designed to supercharge your dashboards and bring your SQL data analysis to the next level. We believe these features will be a game changer for both technical and non-technical personas.Video DemonstrationExperience these features in action in my comprehensive video demo, where I build a fully functioning dashboard from scratch using the Consent insights data model I created in my previous blog. Watch as I navigate through the capabilities of Query Pro Mode, showcasing data manipulation and visualization.Watch the demo hereNew Features with Query Pro ModeSeamless SQL Editor IntegrationWe've integrated an advanced SQL Editor directly into the dashboard environment, making it effortless to author charts and apply global filters. This feature em

In today’s highly competitive market, understanding customer behavior and acting on insights in real time is critical for success. Businesses are constantly looking for ways to drive personalized experiences that increase customer engagement and loyalty. One method that has stood the test of time in this endeavor is RFM modeling—an analysis technique that segments customers based on three key behaviors: Recency, Frequency, and Monetary value. The Data Distiller team built a customer RFM model within the Adobe Experience Platform environment. Here’s a look at what we achieved and how this approach can transform how businesses engage with their customers.What is RFM Modeling?RFM (Recency, Frequency, and Monetary) analysis is a data-driven approach to segment customers into distinct groups based on: Recency (R): How recently a customer has made a purchase.Frequency (F): How often a customer makes purchases.Monetary (M): How much revenue a customer generates through purchases.&nb

I don't understand why adobe doesn't have a training class that covers the Tags implementation for the SDK, for developers? There should be a class that covers:How and why to create various data elements and rules for the SDK.What the different Data Element types for the SDK are.What the different Rules, SDK action types are.Schema creation and types,Data Streams creationData Set creation and ingestionIdentity MappingData ConnectorsEvent ForwardingHandling different data layersData MappingAPI usageThese are just a few of the things off the top of my head! The reason I'm posting this is because while there is some training that covers a lot of this, when it comes to the Tags piece, it is very basic and any developer that wants to really learn this has to struggle if they don't have access to an environment with these capabilities (i.e. third-party consultants or unemployed developers). One can only learn so much by watching videos and reading documentation without having access to an en

Authors: @mbroom @agregg  Editor: @danny-miller    Most of our customers with RT-CDP are looking to drive greater returns on advertising spend. It will come as no surprise that one of the most common questions we get when architecting this use-case is “How do I get my audiences to Google?”. Getting to the answer to this question can seem daunting with the SEVEN different advertising destinations with Google to choose from. We’ll use this blog post to help guide you through how you can make the choice for which destination(s) to integrate your RT-CDP instance with based on your use-cases and platform identities.  Before we get started, make sure you’ve read our “De-Mystifying Destinations” blog as this one will build upon basic concepts that we covered in depth in that blog post.   Note: This blog post is exclusively discussing advertising destinations with Google. There are other Google destinations available for cloud storage or analyt

Authors:@annamalai , Sr. Product Manager@umeshgo , Senior Web Applications EngineerSummaryWe are excited to introduce the latest upgrade to Query Pro Mode— the Advanced Global Filter, designed to elevate your data exploration experience. This update brings several new features and enhancements aimed at providing greater flexibility, precision, and ease of use.Key Features of the Advanced Global Filter Upgrade:Date Range Filter PresetsNow, you can effortlessly apply rolling date ranges with our new preset options. These presets allow you to quickly select common date ranges without manually adjusting the dates.Single Date Picker with Rolling PresetsWe've introduced a new date picker that supports single date selection, along with rolling presets for specific days. This feature makes it easier than ever to focus on specific points in time, with the added convenience of preset options.Standalone PresetsFor users who prefer not to use a date picker, you can now apply presets alon

Authors:@annamalai , Sr. Product ManagerPriyanka Garg, Senior Computer Scientist@nali-adobe , Software Development EngineerSummaryWe are excited to announce the release of our new Advanced Table Widget—an upgrade to the existing table widget in Data Distiller Query Pro Mode. This enhanced widget is designed to streamline your workflow by allowing you to author tables using SQL with powerful new features that require no additional SQL changes.What’s New?Automatic SortingWe’ve introduced automatic sorting capabilities for any or all columns in your tables. This means you can now sort your data without having to modify your SQL queries with multiple ORDER BY clauses, saving you time and reducing potential errors.Automatic PaginationQuery Pro Mode now automatically adds pagination to your tables, eliminating the need to manually adjust your SQL queries. This feature ensures that your data is presented in a more manageable format, making it easier to navigate through large dataset

Author: @annamalai IntroductionIn today’s fast-paced, data-driven environment, having the right tools at your fingertips is essential to making informed decisions. We’re excited to introduce the latest enhancements to Data Distiller Customizable Insights, packed with features that make data analysis more intuitive and impactful. Our new release focuses on expanding the ways you can interact with your data, making it easier to drill down, filter, and export insights with precision and ease.Video DemonstrationFor introduction to Data distiller Query Pro Mode refer: LinkTo see these new features in action, check out my latest video demo where I showcase how to leverage these updates to enhance your data analysis.Drill Through: Fully interactive and multi-layered dashboardGlobal Filter & Date Range Defaults, Presets, and EnhancementsAdvanced Table WidgetNew Features with the Latest ReleaseDrill Throughs with Filter Pass-throughOur most powerful new feature, Drill Throughs, al

I am trying to perform a segment match with an externally uploaded audience file in csv with the data already  in AEP ? Is this use case supported by Segment Match ? Appreciate any help here

Use this thread to ask any questions related to the Getting Started with Real-time CDP for Marketers course on Experience League. Experts are monitoring this thread to ensure your questions are answered.

Dear AEP Community, Your time is precious, and we understand the importance of efficiency when it comes to troubleshooting issues with Adobe Experience Platform.That's why we're excited to again bring you our carefully curated collection of Top KCS (Knowledge-Base) Articles for August 2024, designed to help you resolve common challenges swiftly and effectively. Our Top KCS Articles are your shortcut to: Quickly identifying and resolving recurring issues.Accessing expert insights and best practices for AEP.Streamlining your troubleshooting process for maximum productivity.Empowering yourself with the knowledge to tackle any AEP-related problem head-on. Why spend hours searching for solutions, when our Top KCS Articles have already done the heavy lifting for you?Let us help you save time so you can focus on what truly matters – creating highly personalized digital experiences with AEP. Start supercharging your problem-solving skills today by exploring our&nb

Adobe Experience Platform released Use Case Playbooks back in January to jump-start your organization towards building and deploying commonly known use cases for accelerated business impact and collaboration.. Use Case Playbooks can help your organization getting started with Adobe Real-Time CDP or Adobe Journey Optimizer quickly when you might not know exactly where to begin or how to create the right assets in order to achieve your desired use cases. Quick reminder of this feature's capabilities!  We'd also love your feedback.Review all of these and get started!Overview of use case playbooksGet started with the required configurations and permissionsAvailable Use Case PlaybooksChoose from a selection of playbooksCreate, share, and reuse playbook instancesCopy playbook-generated assets to other environments by using data awareness functionalityTroubleshooting and known limitationsHave a look at these additional resources.Experience League Live Webinar – Watch on DemandA

Use this thread to ask any questions related to the Implement Adobe Experience Cloud with Web SDK tutorial tutorial on Experience League. Experts are monitoring this thread to ensure your questions are answered.

Authors:  @horiag, @rachel_hanessia, @Danny-Miller  Design: @brookebe Editor:  @asults, @shaistah AI Assistant in Adobe Experience Platform is a conversational experience that you can use to accelerate your workflows in Adobe applications. You can use AI Assistant to grasp product knowledge better, troubleshoot problems instantaneously, or search through huge amount of information and find valuable operational insights. AI Assistant supports Experience Platform, Real-Time Customer Data Platform, Journey Optimizer, and Customer Journey Analytics.In the first part of this AI Assistant blog series, we will go over a use case for how a marketing operations specialist was able to reduce the time by 3.5 hours when cleaning and optimizing audiences. This task would often take several hours and now takes 8 minutes with AI Assistant!The marketing operations specialist describes, “I need to find unused audiences that clutter my system s

Greetings Adobe Experience Platform Community! Please join me in congratulating, Bjoern Koth (aka @bjoern__koth  ) for being recognized as the AEP Community Contributor of the Month for July 2024!  @bjoern__koth  , thank you for driving productive discussions with your Community peers~ your contributions have been tremendously helpful!  You can also become the contributor of the month by simply answering questions and being helpful to other members in this community and win exclusive Swag. You can also nominate someone you think deserves this recognition by reaching out to me via Community DM. Cheers, Nimasha

Authors: Jaemi Bremner (#Jaemi_Bremner), Sunil Kumar A K, and Sachin Yelchithaya (#Sachin_Yelchith). In this blog, we are explaining different approaches on how we can build a dataset in Adobe Experience Platform to perform cross-device analysis using Customer Journey Analytics which was incepted from multiple customer requests. Statistics from various sources depict the usage of multiple devices across digital domains. This makes it interesting to get some insight into specific patterns of consumer behavior across devices. While mobile usage is on the constant rise, tablets and desktops continue to mark their presence as well. Generally, around twenty percent of cross-device transactions completed on a desktop start on a smartphone, and 35% of those completed on a smartphone begin on a desktop. Ignoring to measure the cross-device performance, this alone could lead to poor decisions based on weak or insufficient data. A study says globally, 31.6 billion connected devices are exp