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.
Use Experience Data Model (XDM) classes and mixins to standardize experience data.
Data Ingestion and Management
- Catalog Service
Explore data lineage, metadata, file descriptions, directories, and datasets within the Data Lake.
- 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.
Monitor Platform activities through the use of statistical metrics and event notifications.
Ingest data from a variety of sources or structure, label, and enhance already ingested data.
- 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.
- Segmentation Service
Build segments and generate audiences from your Real-time Customer Profile data.
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.
This video walks through an overview diagram and explains the primary components of Experience Platform.
This video shows you how to label data fields as identities, ingest Identity data and then verify that the data has made it to the private graph.
Learn about Experience Data Model (XDM), the standard data model to describe customer experiences.
This document provides a step-by-step tutorial for gaining access to an Adobe Experience Platform developer account in order to make calls to Experience Platform APIs.
This tutorial covers the steps for creating a schema using the Schema Editor within Experience Platform.
Ingest data from a variety of sources and structure, label, and enhance incoming data using Platform services.
A hands-on tutorial to start implementing Platform. Sample data and assets provided.
A hands-on tutorial covering many aspects of Platform, including connections to third-party systems.