Understanding Adobe Real-Time Customer Data Platform
- Topics:
- Destinations
CREATED FOR:
- Beginner
- User
Learn how Adobe Real-Time Customer Data Platform (CDP) brings together known and unknown customer data to create and activate trusted customer profiles. For more information, please visit the Real-Time Customer Data Platform documentation.
Transcript
In this video, I’ll give you an overview of Adobe’s realtime customer data platform, explaining the challenges it solves and how it fits into Adobe Experience Platform. The fundamental truth and challenge facing every business today is this: people buy experiences, not products. Products used to be the basis of differentiation, but not anymore. Businesses must now deliver great experiences to win in an increasingly competitive world, competing for the hearts and minds of their customers, and exceeding their ever increasing expectations at every point in the journey. Marketers everywhere face common challenges when leveraging their data to deliver these experiences, preventing them from minimizing time to value and harnessing the power of their data. One challenge is data silos. Data silos and their organization make it difficult for teams to work together to build a common view of the customer based on data collected from multiple touchpoints. Another issue is a lack of interconnectivity between systems used by marketing teams. Each have different ways of doing data collection and transmission which makes it difficult to deliver consistent experiences. It isn’t enough to store data in one place. Marketers also need to understand user identity as customers engage on different devices or in person, and leverage sophisticated artificial intelligence or machine learning to scale their impact. Finally, it’s been difficult for marketers to take action on all their data as that sometimes involves development and work to set up an integration with your CRM system or data leak. Adobe’s CFP is an application service built on top of Adobe Experience Platform. It leverages multiple platform services to deliver its functionality. For an in-depth look at each of these platform services, there are other videos available that dive deeper into their capabilities. Right now, let’s take a quick look at how each of these services solve the common challenges of delivering an experience to a customer.
Adobe Experience Platform sources provide simplified integrations to ingest data from various systems such CRP, analytics, and point of sale, to bring together your customer data and translate it into a common data model called XDM. Platforms’ data usage, labeling, and enforcement framework, or DULE, provides trusted profile management that gives you the controls you need for data governance in your marketing use cases. Profile service gives instant access to realtime customer profiles with actionable intelligence to better understand your customers. To you uncover more insights about your customers, CDP uses artificial intelligence and machine learning features powered by Sinsei to help your team save time and maximize their impact. And lastly, destination service offers realtime activation with prebuilt integrations across paid media, including social, own channel, including email, onside, and in app personalization tools and a flexibility for your IT teams to build custom API connectors to internal systems. Thanks for watching my overview of Adobe’s realtime customer data platform.
Real-Time Customer Data 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