Adobe Experience Platform enables organizations to centralize and standardize customer data from any system before applying data science and machine learning to dramatically improve the design and delivery of rich, personalized experiences.

Guides

Overview

Administration

  • Access Control
    Leverage product profiles in Adobe Admin Console to link users with permissions and sandboxes.
  • Sandboxes
    Partition a Platform instance into virtual environments for development, testing, and application deployment.

Data Modeling

  • Schemas
    Use Experience Data Model (XDM) classes and schema field groups to standardize experience data.

Data Collection

Data Ingestion and Management

  • Catalog Service
    Explore data lineage, metadata, file descriptions, directories, and datasets within the Data Lake.
  • Dashboards
    Visualize Experience Platform data on customizable dashboards.
  • Data Access
    Discover and access ingested datasets within Platform.
  • Data Ingestion
    Bring your data into Platform through batch or streaming ingestion.
  • Data Prep
    Prepare your data for ingestion into Adobe Experience Platform.
  • Dataflows
    Dataflows are a representation of data jobs that move data across Platform.
  • Datasets
    This document provides a high-level overview of datasets in Experience Platform.
  • Observability
    Monitor Platform activities through the use of statistical metrics and event notifications.
  • Sources
    Ingest data from a variety of sources or structure, label, and enhance already ingested data.

Customer Data

  • Data Collection
    Enable client-side data collection for Adobe Experience Platform Edge Network.
  • Identity Service
    Bridge customer identities across devices and systems to deliver personalized digital experiences.
  • Real-time Customer Profile
    Merge customer data to create a unified view of customer interactions across channels.
  • Real-time Customer Profile Data Guardrails
    Adobe Experience Platform provides a series of guardrails to help you avoid creating data models which Real-time Customer Profile cannot support. This document outlines best practices and constraints to keep in mind when modeling Profile data.
  • Segmentation Service
    Build segments and generate audiences from your Real-time Customer Profile data.
  • Real-time Customer Data Platform (all editions)
    Bring together known and anonymous data from multiple enterprise sources to create customer profiles, create audience segments from those profiles, and activate those segments to third-party destinations.

Privacy

  • Data Governance
    Enforce data usage restrictions through the use of labels, marketing actions, and policies.
  • Privacy Service
    Manage customer data requests to comply with legal privacy regulations like GDPR and CCPA.

Data Science and Queries

  • Data Science Workspace
    Use machine learning to develop, train, and score models and recipes with Adobe Sensei and JupyterLab Notebooks.
  • Intelligent Services
    Utilize intelligent AI services to generate scores, discover insights, and create segments from your marketing events data.
  • Query Service
    Use standard SQL to query data in Platform Data Lake.

Activation

  • Destinations
    Activate your known and unknown data for cross-channel marketing campaigns, email campaigns, targeted advertising, and many other use cases.

Tutorials

Basic Architecture of Experience Platform (Video)

Learn the high-level architecture of Adobe Experience Platform from a guided walkthrough of an overview diagram.

Label, Ingest, and Verify Identity Data (Video)

Learn how to label data fields as identities, ingest identity data, and verify the data in the Adobe Experience Platform Identity Service private graph.

Understanding the XDM System & Experience Data Model (Video)

Learn about Experience Data Model (XDM), the standard data model to describe customer experiences.

Authenticate and access Experience Platform APIs

Learn how to access to Adobe Experience Platform APIs.

Create a schema using the Schema Editor

This tutorial covers the steps for creating a schema using the Schema Editor within Experience Platform.

Ingest data with sources

This video gives an overview of Sources, or Source connectors, in the Adobe Experience Platform UI. Sources are easily configurable integrations that allow you to ingest data from Adobe, first-party, and third-party applications into Adobe Experience Platform’s Real-time Customer Profile and Data Lake, in a seamless and scalable manner.

Getting Started for Data Architects and Engineers

A hands-on tutorial to start implementing Platform. Sample data and assets provided.

Comprehensive Technical Tutorial

A hands-on tutorial covering many aspects of Platform, including connections to third-party systems.

Digital Experience Blueprints

Digital Experience Blueprints are repeatable implementations to address strategy and solve established business problems. They accelerate time-to-value and provide a fast path to success.

See all tutorials

Learn the many components of Experience Platform.

Release Information

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