Overview of Adobe Experience Platform
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Get an overview of what Experience Platform is and the business challenges it solves.
Transcript
In this video, we’ll give you an overview of Adobe Experience Platform, explaining what it is, and the business challenges it solves. Today’s digital landscape is changing at a rapid pace, with rising customer expectations when it comes to personalized experiences, and continued shifts in industry policies and regulations, like the deprecation of third-party cookies. As a result, there is an increasing need for brands to reimagine their digital marketing strategy and accelerate their transformation efforts, specifically around personalization. But how do you deliver a personalized experience at scale for millions of customers? Well, to start, you need to collect data from every interaction a customer makes with your brand. But with third-party cookies becoming more restrictive and browsers blocking cookies by default, this is easier said than done. Additionally, the list of must-haves to create personal experiences continues to grow. Over the years, Adobe has worked with brand partners to identify some of the critical requirements to overcome these customer experience challenges. This includes the ability to deliver consistent personalization across journeys at scale. Now you’re probably thinking this is a ton of requirements just to manage customer experiences. And you’re not wrong. However, the benefits brands gain by implementing personalized insights and engagement at scale speak for themselves. According to a Forrester study, brands who implement personalization at scale can expect to see compelling increases in email open rates, customer lifetime value, employee satisfaction, customer retention and satisfaction rates, and repeat visitors. So how does Adobe address all these needs? Adobe Experience Cloud provides a cohesive ecosystem supercharged by Adobe Experience Platform for brands to make the digital economy personal. Platform serves as a data foundation that builds a unified view of your customers across your enterprise, letting you create granular audiences that update in real-time as customers interact with your brand. These capabilities can be leveraged by other customer experience applications. There are several applications built on top of Experience Platform that directly leverage Platform’s datasets, profiles, and audiences for advanced marketing use cases. Platform also has integrations with other Experience Cloud applications like Adobe Analytics, Target, and Campaign, letting you easily integrate platform capabilities with your existing Adobe stack. With Platform’s open API architecture, developers can build new experience applications that directly utilize Platform’s capabilities. These capabilities are also available through an intuitive user interface that allows marketers and non-technical users to view and manage platform resources. Platform’s composable services allow your digital marketing teams to better understand your customers and achieve use cases that are driving value for brands across all industries. With Platform, you can intelligently re-engage customers who have abandoned a conversion path before completing it, reduce churn and win back customers with don’t lose campaigns, optimize the process of converting new customers by analyzing individual journey interactions from prospects, recognize known users with contextual clues regardless of their current authentication state to better curate their experience, and create personalized campaigns based on each customer’s unique attributes and behavior to evolve one-time conversions into lifetime customer relationships. Platform has evolved over the years with a wealth of knowledge resources including documentation, tutorials, onboarding guides, courses, templates, and monitoring features. Our goal is to make you as self-sufficient as possible as you continue to use Platform and other Adobe Experience Cloud applications. This includes a broad system of partners as well as Adobe Consulting to help get you started and onboarded. We look forward to sharing more about Platform and the challenges it solves in our comprehensive library of videos. Thanks for watching.
This video is part of a playlist Overview of Experience Platform!
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 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
- 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
- Data Science Workspace
- Overview
- Architecture
- Load data in JupyterLab notebooks
- Query and discover data in JupyterLab notebooks
- Exploratory Data Analysis
- Recipes, models, and services overview
- Build a model using the recipe builder template
- Analyze model performance
- Create and publish a trained model (UI)
- Schedule automated training and scoring for a service
- Enrich Real-Time Customer Profiles with machine learning insights
- Package source files into a recipe
- Import a packaged recipe (UI)
- Import a packaged recipe (API)
- Destinations
- Destinations overview
- Connecting to destinations
- Create destinations and activate data
- Activate profiles and segments to a destination
- Configure a dataset export 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
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