A customer experience powered by Adobe Experience Platform
Last update: February 14, 2025
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See a hypothetical experience built with Adobe Experience Platform, as seen from the perspective of a customer. Learn how Experience Platform creates a rich, relevant, and real-time experience.

Transcript
This video will follow a hypothetical experience built with Adobe Experience Platform as seen from the perspective of a customer. Sarah Rose is a fitness and yoga enthusiast and attends group yoga lessons at Luma Yoga Studio. Occasionally, she buys new gear at the Luma Store. Let’s see how Experience Platform creates a rich, relevant and real-time experience. While browsing on the Luma website, Sarah sees a sports shirt she likes and adds it to her cart. A cookie from the website is used to track her preferences. Sarah then receives an offer to register for a customer account using her Luma Studio membership. Her new account enables Experience Platform to link together her email, gym membership, and Experience cloud identifies in her real-time customer profile. This information allows Experience Platform to add Sarah to a segment representing studio members. Unfortunately, life gets busy and Sarah abandons her cart. Later, Sarah is sent an email recommending her to install the Luma App on her mobile device. She installs the app and signs in with her membership credentials. Now Experience Platform links the mobile identity to Sarah’s profile. Based on her studio membership and recent visits including data loaded from the studio’s member registration system and the catalog of available lessons, the Platform determines that Sarah should receive a suggestion. Sarah receives an invite to the Luma Studio for a yoga session. She also gets the same offer as a push notification on the Luma app. When Sarah arrives at the studio, she checks in for the lesson and is greeted by a host who sees Sarah’s profile. In this case, Experience Platform has combined Sarah’s loyalty data with her online browsing behavior to present her with a suitable offer. Sarah is pleased and feeling good about the whole experience. She buys the shirt. The purchase is recorded and Sarah is sent a thank you message. Experience Platform made Sarah’s customer journey easy, personal and successful. Throughout this example, all of Sarah’s interactions with Luma are strictly governed with respect to Sarah’s privacy and preferences. We’ve now shown what Adobe Experience Platform looks like from Sarah’s point of view. The next video will look at how Experience Platform is used to accomplish this journey.
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Experience Platform
- Platform Tutorials
- Introduction to Platform
- A customer experience powered by Experience Platform
- Behind the scenes: A customer experience powered by Experience Platform
- Experience Platform overview
- Key capabilities
- Platform-based applications
- Integrations with Experience Cloud applications
- Key use cases
- Basic architecture
- User interface
- Roles and project phases
- Introduction to Real-Time CDP
- Getting started: Data Architects and Data Engineers
- Authenticate to Experience Platform APIs
- Import sample data to Experience Platform
- Administration
- AI Assistant
- Audiences and Segmentation
- Introduction to Audience Portal and Composition
- Upload audiences
- Overview of Federated Audience Composition
- Connect and configure Federated Audience Composition
- Create a Federated Audience Composition
- Audience rule builder overview
- Create audiences
- Use time constraints
- Create content-based audiences
- Create conversion audiences
- Create audiences from existing audiences
- Create sequential audiences
- Create dynamic audiences
- Create multi-entity audiences
- Create and activate account audiences (B2B)
- Demo of streaming segmentation
- Evaluate batch audiences on demand
- Evaluate an audience rule
- Create a dataset to export data
- Segment Match connection setup
- Segment Match data governance
- Segment Match configuration flow
- Segment Match pre-share insights
- Segment Match receiving data
- Audit logs
- Data Collection
- Collaboration
- Dashboards
- Data Governance
- Data Hygiene
- Data Ingestion
- Overview
- Batch ingestion overview
- Create and populate a dataset
- Delete datasets and batches
- Map a CSV file to XDM
- Sources overview
- Ingest data from Adobe Analytics
- Ingest data from Audience Manager
- Ingest data from cloud storage
- Ingest data from CRM
- Ingest data from databases
- Streaming ingestion overview
- Stream data with HTTP API
- Stream data using Source Connectors
- Web SDK tutorials
- Mobile SDK tutorials
- Data Lifecycle
- Destinations
- Destinations overview
- Connect to destinations
- Create destinations and activate data
- Activate profiles and audiences to a destination
- Export datasets using a cloud storage destination
- Integrate with Google Customer Match
- Configure the Azure Blob destination
- Configure the Marketo destination
- Configure file-based cloud storage or email marketing destinations
- Configure a social destination
- Activate through LiveRamp destinations
- Adobe Target and Custom Personalization
- Activate data to non-Adobe applications webinar
- Identities
- Intelligent Services
- Monitoring
- Partner data support
- Profiles
- Understanding Real-Time Customer Profile
- Profile overview diagram
- Bring data into Profile
- Customize profile view details
- View account profiles
- Create merge policies
- Union schemas overview
- Create a computed attribute
- Pseudonymous profile expirations (TTL)
- Delete profiles
- Update a specific attribute using upsert
- Privacy and Security
- Introduction to Privacy Service
- Identity data in Privacy requests
- Privacy JavaScript library
- Privacy labels in Adobe Analytics
- Getting started with the Privacy Service API
- Privacy Service UI
- Privacy Service API
- Subscribe to Privacy Events
- Set up customer-managed keys
- 10 considerations for Responsible Customer Data Management
- Elevating the Marketer’s Role as a Data Steward
- Queries
- Overview
- Query Service UI
- Query Service API
- Explore Data
- Prepare Data
- Adobe Defined Functions
- Data usage patterns
- Run queries
- Generate datasets from query results
- Tableau
- Analyze and visualize data
- Build dashboards using BI tools
- Recharge your customer data
- Connect clients to Query Service
- Validate data in the datalake
- Schemas
- Overview
- Building blocks
- Plan your data model
- Convert your data model to XDM
- Create schemas
- Create schemas for B2B data
- Create classes
- Create field groups
- Create data types
- Configure relationships between schemas
- Use enumerated fields and suggested values
- Copy schemas between sandboxes
- Update schemas
- Create an ad hoc schema
- Sources
- Use Case Playbooks
- Experience Cloud Integrations
- Industry Trends