ADOBE REAL-TIME CDP FEATURES

Intelligent audience management

Create, enrich, and segment audiences using direct data ingestion from any source or federation from your data warehouse. An agentic engine, via Adobe CX Enterprise Coworker and AI-powered insights help you build complete, up-to-date audiences to deliver relevant, in-the-moment experiences to your customers at scale.

Audience management enhanced with agentic workflows in CX Enterprise Coworker

Empower your teams to collaborate and quickly create, manage, and optimize audiences through a conversational interface.

Accelerate audience creation and activation with conversational AI. Quickly discover, refine, and build high-value audiences using natural language, helping marketers move from insight to execution faster.
Improve audience quality and campaign outcomes. Validate audience definitions, estimate reach, and uncover opportunities to maximize engagement before campaigns go live.
Drive smarter personalization through audience intelligence. Gain actionable insights into audience composition and behavior to continuously optimize targeting and deliver more relevant customer experiences.

Segmentation service

Intake existing audiences from other platforms to build new audiences and centrally manage them for your entire organization.

Intuitive UI. Use an easy to navigate interface to build audiences intelligently with AI powered search and drag-and-drop functionality to design segments, using tags and folders for organization.
Adobe Profile Query Language. Leverage a patented query language with dozens of function categories that let you define and execute segmentation queries on the real-time customer profile data.
Sophisticated logic. Leverage advanced logic to aggregate functions, containers, scheduled dates, and merge policies to build segments across attributes, events, and existing audiences.
Audience refinement. Split, rank, curate, and more to further refine audiences and engage in audience testing.
Forecast and validate. Preview size, sample profiles, and evaluate segment logic through code view or via API.
Audience Portal. Ingest existing audiences from other platforms, build new audiences with advanced logic, and easily split, rank, and curate audiences

Segmentation types

Real-Time CDP supports multiple segmentation types to balance speed, scale, and freshness to support campaign use cases.

Batch segmentation. Move profile data all at once and create corresponding audiences. Flexibly evaluate audiences by running segmentation evaluations on demand.
Streaming segmentation. Evaluate audiences in the moment by running audience qualification processes on data as it becomes available in Real-Time CDP.
Edge segmentation. Evaluate segment definitions instantaneously, on the edge, to enable same-page and next-page personalization use cases.

Federated Audience Composition

Federated Audience Composition lets marketers build audiences from warehouse datasets without copying underlying data as well as enrich audiences by combining customer profiles from partners and external sources, letting them use both batch and real-time data for more effective targeting. By integrating your customer data with data from external sources, like data warehouses, teams can build and activate better audiences.

Data integration. Boost flexibility and efficiency with the ability to query relevant pre-built audiences and datasets from your enterprise data warehouse and partners into a single environment to augment Adobe Experience Platform use cases.
Enhanced marketing processes. Unlock additional support for segmentation, targeting, and activation use cases with streamlined, adaptable workflows.
Efficient data management. Minimize data copy, govern sensitive data usage, and optimize IT investments to complement real-time cross-channel use cases on Adobe Experience Platform.

Dashboards and analytics

Surface key audience insights without relying on external systems.

Out-of-the-box metrics. Use built-in key metrics such as profile, audience size, and trends.
Extended analysis. Get enhanced analysis with natively integrated Adobe Customer Journey Analytics or your chosen analytics tool.

Customer AI

Customer AI
Generate custom propensity scores and get insights to deliver targeted campaigns — such as cross-sell, upsell, or churn prevention — tailored to specific segments, all using highly customizable configurations.

High-accuracy propensity models. Improve market segmentation and targeting at the individual level across any customer dataset.
Propensity insights. Get the top influential factors of a propensity score to explain the main drivers of your customers.
Custom configuration. Apply a tailored journey to meet unique scenarios for any business.

Look-alike audiences

Discover and activate high-value profiles that share similarities with an existing audience through algorithmic modeling.

Trusted delivery. Generate look-alike audiences responsibly with embedded data usage and consent policies.
AI insight discovery. Use AI to understand key characteristics of existing audiences to discover similar profiles and enhance personalization.

Predictive lead and account scoring

Grow more leads and advance accounts with advanced insights.

Propensity scores from unified data. Apply unified data and AI-powered propensity models to score your lead and account profiles based on their likelihood to progress through each stage of the sales cycle.
Score insights. View the contributing factors in the models and propensity groupings for low, medium, and high propensity. Analyze the expected success rate and profile count of each group to fit your personalization goals.

Learn more about audience management.

Content as a Service v3 - Learn more about audience management. - Friday, June 12, 2026 at 16:33

Learn how to use audience management 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 audience management features

Questions? We have answers.

What are audience skills in CX Enterprise Coworker and how is it diﬀerent from building audiences by hand?

CX Enterprise Coworker is an agentic engine that contains audience skills and enhances the creation of Audiences within Real-Time CDP . Work within natural language to explore, understand, and create audiences, instead of manually conﬁguring segment rules. Rather than hand-building a segment deﬁnition and guessing at its size, you can ask the agent to ﬁnd audiences by attribute, surface the XDM ﬁelds you could segment on, estimate an audience's size before you create it, and ﬂag audiences that have suddenly grown or shrunk. It is designed to remove the manual conﬁguration, slow diagnosis, and onboarding friction that make audience work time-consuming, while you stay in control of what gets created.

What can audience skills in CX Enterprise Coworker actually do?

Audience skills in CX Enterprise Coworker support a deﬁned set of audience jobs: conversationally exploring your audiences, ﬁnding the size of existing audiences, looking up audiences by full or partial attribute, detecting duplicate audiences, discovering XDM (Experience Data Model) ﬁelds you can build on, detecting signiﬁcant size changes, and creating an audience from attributes and events (including estimating its size before you commit). It does not currently support goal-based audience exploration (discovering datasets aligned to a business goal using propensity models), and it needs at least 24 hours to process your data before insights are reliable. Treat it as an accelerator for audience management and exploration, not an autonomous replacement for the analyst.

Does CX Enterprise Coworker create or change audiences on its own?

No, CX Enterprise Coworker acts only when you ask it to and only within your permissions, so it does not silently alter audiences in the background (unless granted the permission to so). Viewing audience insights requires a View Segments permission, and creating an audience requires a Manage Segments permission, so a user who can only view cannot have the agent create anything.

How does Real-Time CDP use AI to ﬁnd and expand high-value audiences?

Beyond CX Enterprise Coworker, Real-Time CDP includes Customer AI, which predicts individual-level behavior such as propensity to buy, convert, or churn, with explanations of the factors driving each prediction, and look-alike modeling, which expands a high-value audience by ﬁnding proﬁles that resemble it. Together these let you build audiences around predicted intent rather than only past behavior, and grow reach without lowering quality, so audience work moves from describing who customers were to targeting who is likely to act next.

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Transform customer engagement with powerful audience management.

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Surface audience insights and deliver more targeted campaigns using advanced segmentation and AI tools in Adobe Real-Time CDP.

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2024-03-26

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