Streaming segmentation demo
- Topics:
- Segments
CREATED FOR:
- Beginner
- User
Learn how the streaming segmentation feature in Adobe Experience Platform allows brands to personalize customer experiences based on real-time data. See an example customer experience and get a quick tour of the interface. For more information, please see the Segment Builder documentation.

Transcript
Hi, everyone, in this video, we will be showing you Adobe Experience Platform’s streaming segmentation capabilities, and how it helps brands deliver personalized experiences to their customers based on real-time data. We will be using Luma, an athletic apparel company.
Sarah Rose is a current customer of Luma, and today, her experience starts on her phone and in the Luma mobile app. This Luma account screen is powered by Adobe Experience Platform’s real-time customer profile where Sarah can review her personal information, loyalty status, as well as recent products she looked at. At this stage of her experience, Sarah sees that she is eligible to an offer to discover Luma’s women’s new collection. However, today, Sarah is on the market to buy a gift for her boyfriend, and she starts looking for men’s jackets.
As she narrows her search down to a few items, Luma ingests Sarah’s behavioral information in Adobe Experience Platform, and her profile becomes eligible to automatically qualify to the men’s top category interest segment.
Since this segment is enabled for real-time personalization, Sarah is now eligible to an updated offer consistent with her recent search. Luma was able to personalize Sarah’s experience in real time using Adobe Experience Platform’s streaming segmentation. Now, let’s go behind the scenes and see how Adobe Experience Platform helped Luma get to this point.
Here we are in Adobe Experience Platform. One of its core capabilities is the ability to create rich business segments using online, offline, Adobe and non-Adobe generated data. This screen shows Luma’s active segments. So let’s open the men’s top category interest segment Sarah has just qualified for. Users can create sophisticated segments based on a sequence of events such as ad impressions, product views, check out and purchase decisions. In this example, Luma chose to track three product views on any of its men’s top products within the last 24 hours. Users can also combine profile attributes such as demographic data to narrow the segment down to only loyal customers.
As soon as this segment is saved, it becomes enabled and starts qualifying profile data in real time. As a matter of fact, when we open Sarah Rose’s real-time profile in Platform, we can not only see the latest events that occurred as she was browsing, but most importantly, the current segments she has qualified for. Sure enough, she has qualified for the men’s top interest segment, as well as others. Adobe Experience Platform’s streaming segmentation enables real-time personalization across any channel. This is a critical capability, as brands are looking to activate their data to create seamless, connected and consistent experiences across their properties and channels. So whether it’s on an email or through its website, Luma will speak to its customers through one consistent voice, and helping Sarah make the right decision for the perfect gift she’s looking for. -
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