Integrate with IAB’s Transparency & Consent Framework 2.0
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This video shows how Adobe’s Real-Time Customer Data Platform helps brands honor consumers’ consent as they engage on digital properties. Through the support of IAB’s Transparency & Consent Framework 2.0, brands gain greater flexibility over how they can engage with consumers while providing consumers increased control of their consent to do so.
Transcript
Hi, everyone. In this video, we will be showing you how Adobe helps brands capture and honor their consumer consent, as they engage on their digital properties. Through the support of IAB’s Transparency and Consent Framework 2.0, brands gain greater flexibility over how they can engage with their consumers, while providing them with increased control on their consent to do so. Let’s see how this is done using Luma, an athletic apparel company.
Luma has the objective to increase its conversion rate on its equipment apparel, and is using Adobe Real-Time CDP as an activation platform and Google’s Ad network to retarget any of their online visitors who started browsing these products, but didn’t purchase yet.
As they land on the Luma website, visitors are asked for their consent to allow the brand to reengage with them through offsite targeting.
Sarah Rose, an existing Luma customer, provides her consent, while another visitor, Stephen Shaw doesn’t provide his consent and turn targeting off. At this time, both consent decisions are collected in Adobe Real-Time CDP. As both as Sarah and Stephen, leave the website without buying any of Luma’s equipment products, the brand will reengage with them through a display ad campaign. However, Adobe Real-Time CDP will make sure to automatically honor consumer’s consent and help Luma run an equipment ad for Sarah Rose, who consented and exclude Steven Shaw, who did not consent. Now let’s go behind the scenes and see how we got to this point. Here we are in the UI. One of the core capabilities is the real time customer profile or data is brought together from disparate sources into a single unified customer profile. This view shows Sarah Rose’s profile. In addition to online, offline, real time, Adobe and non Adobe generated data, the consent she provided earlier has also been collected and is now part of her unified profile.
The same goes for Stephen Shaw. This information is critical in providing consumers with control over how they choose to be engaged by the brand. As the objective of Luma is to increase its conversion rate on its equipment products, the brand has created a segment of consumers who recently showed interest on these products, but didn’t buy. Through Adobe Real-Time CDP, this segment is then activated using one of many out of the box destinations. As Luma chooses Google Ads as a destination, and sends the segment to Google, Adobe Real-Time CDP automatically checks all consumers consent for this segment and excludes anyone who didn’t provide consent. Luma is now ready to retarget its consumers and increase its conversion rate.
With Adobe’s Real-Time CDP support for the Transparency and Consent Framework 2.0 brands are able to meet their consent obligations while providing consumers with control over the data and advertising experience from the brands they trust. -
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