#F8F8F8

ADOBE REAL-TIME CDP FEATURES

Harmonized data access

Give teams across the organization flexible access to actionable, up-to-date profiles and data, so they can confidently deliver consistent, engaging, and personalized experiences.

Experience Data Model (XDM)

Standardize how customer data is managed across teams, systems, and tools with an industry-standard, open-source data model that can be leveraged with B2C and B2B data from any channel.

  • Open-source model. Analyze consumer behavior by tapping into an extensible channel-agnostic data model.
  • Interoperability. Apply a thorough understanding of data across all business units to increase consistency between applications.
  • Pre-built schemas. Power internal workflows using out-of-the-box B2B and B2C data schemas, or customize them to intake insights faster and fulfill your unique enterprise data needs.

Data preparation

Validate data to ensure cleanliness and integrity during the ingestion process.

  • Data transformation. Apply manipulation functions — such as string, numeric, and data manipulation — to augment data pre-ingestion.
  • Custom calculations. In advance of mapping to XDM, create custom calculated fields that can be assigned to attributes.
  • Preview. View the data as it is manipulated for verification.

Monitoring

View the journey of your data — from ingestion to activation — to ensure you reach your goals.

  • Dashboard views. See data from sources, identity service, real-time customer profiles, audiences and finally — as it makes its way to activation — via destinations.
  • Easy filtering. View data by type, such as customer and account, prospect, and account profile enrichment.
  • Status update by stages. View specific metrics and statuses depending on the stage of your data.
  • Notifications. Receive specified notifications and alerts based on specific conditions.

Real-time customer profile data

Establish a consistent customer view with a single, unified profile created from both online and offline sources. Profile data can be validated by building profile snapshots, metrics, and detailed views.

  • B2C, B2B, and hybrid profiles. Link B2C customer data and B2B account data within a single unified profile that spans audiences and lines of business.
  • Warehouse-specific workflows. Create and enrich audiences directly from customer data warehouses using a federated approach to minimize data movement.
  • Real-time. Update profiles instantly as customers interact with your brand.
  • Validation and dashboarding. Validate and understand profile data through profile snapshots, metrics, and detailed views.
  • Differentiated data for use cases. Maintain separation between customer and prospect profiles for flexibility in supporting various marketing motions.

Use case playbooks

Accelerate time to value by leveraging a catalog of pre-defined, marketer-friendly workflow templates that allow teams to quickly ideate and stand-up new campaigns.

  • Industry-specific playbooks. Browse a catalog of more than 40 turnkey playbooks curated by industry for business-focused prioritization.
  • Auto-translated marketing goals. Use a customizable package of technical artifacts that can be integrated into an existing experience data model.
  • Marketing and technical team collaboration. Facilitate use-case prioritization with IT teams and align marketing strategy to enterprise KPIs via in-product workflows.
https://business.adobe.com/fragments/products/modal/videos/real-time-customer-data-platform/audience-management/use-case-playbooks#use-case-playbooks | Use-case playbooks demo video | :play-medium:

Product Support Agent conversation on product support.

Product Support Agent

Empower your teams to quickly and easily troubleshoot, diagnose, and escalate product issues with Product Support Agent. Tap into interactive guidance for more efficient self-service support — powering faster time to resolution and increased productivity.

  • Troubleshooting. Use natural language prompts to get quick answers to common questions based on expert-curated documentation.
  • Case creation. Initiate support cases directly from AI Assistant, which automatically captures contextual insights such as chat logs, IDs, and issue descriptions for accelerated case resolution.
  • Case tracking. Seamlessly track the status of your support cases.

Learn more about Product Support Agent.

Content as a Service v3 - Learn more about Product Support Agent. - Tuesday, January 13, 2026 at 16:50


More about harmonized data.

https://main--da-bacom--adobecom.aem.live/fragments/products/cards/rtdcp/actionable-unified-profiles/more-actionable-data-profiles

Learn how to use harmonized data features.

Find what you need in Experience League, our vast collection of how-to content — including documentation, tutorials, and user guides.

Learn more | Learn more on how to use actionable unified profile features

Questions? We have answers.

What is data harmonization in Adobe Real-Time CDP?
In Adobe Real-Time CDP, data harmonization means standardizing, validating, and connecting customer data from online, offline, and pseudonymous sources into a real-time customer profile. Data is structured using an industry-standard model, validated during ingestion, and updated in real time so teams across the organization can access consistent, trusted customer information for activation and engagement.
How does harmonized data access ensure teams are working from consistent customer profiles?
Real-Time CDP creates a cohesive customer view that is continuously updated with data from all connected sources. By standardizing data structures, validating data quality, and resolving identities across devices and systems, the platform ensures every team works from the same current and reliable customer profile — reducing inconsistencies across campaigns, channels, and lines of business.
How are identities resolved across systems and devices?
Adobe Real-Time CDP reconciles customer identities using deterministic identity resolution across standard and custom identifiers. Identity data is ingested, validated, and visualized to map relationships between devices, logins, customers, prospects, and accounts. This enables a comprehensive view of customer behavior across systems while maintaining clarity and traceability in how profiles are formed.