ADOBE REAL-TIME CDP FEATURES
Enterprise audience management
With enriched unified profiles and AI-powered insights and workflows, Adobe Real-Time CDP lets you build complete audiences, identify new ones and leverage out-of-the-box tools to deliver more targeted, relevant campaigns.
Audience Agent
Empower your teams to quickly create, manage and optimise intelligent audiences using natural language prompts for greater ease, efficiency and speed to market.
- Audience discovery and management. Identify audiences proactively while managing data hygiene and tracking size changes over time.
- Audience creation. Generate audiences based on recommendations aligned to your campaign goals.
- Audience optimisation. Use forecasting and audience estimation tools to automatically create targeted audiences or identify opportunities based on objectives like propensity to support data-driven targeting decisions.
Learn more about Audience Agent.
Federated Audience Composition
Federated Audience Composition lets marketers enrich audiences by combining customer profiles from partners and external sources. This enables the use of both batch and real-time data for more effective targeting. You can build better audiences by integrating your own customer data with data from sources like external data warehouses.
- Data integration. Boost flexibility and efficiency with 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. Minimise data copy, govern sensitive data usage and optimise IT investments to complement real-time cross-channel use cases on Adobe Experience Platform.
Learn more about federated audience composition.
Segmentation service
Intake existing audiences from other platforms to build new audiences and centrally manage them for your entire organisation.
- Intuitive UI. Use a searchable interface with drag-and-drop functionality to design segments using tags and folders for organisation.
- Existing audience uptake. Upload pre-defined audiences from other applications to use in Real-Time CDP.
- Sophisticated logic. Leverage Boolean logic, 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.
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.
Use-case playbooks
Accelerate time to value by leveraging a catalogue of pre-defined, marketer-friendly workflow templates that allow teams to quickly stand-up new campaigns.
- Industry-specific playbooks. Browse a catalogue of 40+ turnkey playbooks curated by industry for business-focused prioritisation.
- Auto-translated marketing goals. Use a customisable package of technical artefacts that can be integrated into an existing Experience Data Model.
- Marketing and technical team collaboration. Facilitate use-case prioritisation and align marketing strategy and IT teams to enterprise KPIs via in-product workflows.
Customer AI
Generate customised propensity scores and get insights to deliver targeted campaigns — such as cross-sell, upsell or churn prevention — tailored to specific segments, all using highly customisable 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.
- Customised 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 modelling.
- 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 personalisation.
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. Analyse the expected success rate and profile count of each group to fit your personalisation goals.
Learn more about enterprise audience management.
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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.
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Learn how to use enterprise 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 enterprise audience management features
Questions? We have answers.
How does audience management integrate with Adobe Real-Time CDP's core platform?
Audience management is built directly into Real-Time CDP's foundation, working seamlessly with unified customer profiles and real-time data processing to eliminate the data silos and manual work that frustrate most marketing and IT teams.
What this means for your team:
- Unified customer profiles: Your audience management automatically inherits cross-device identity resolution and real-time behavioural data - no separate systems to manage
- Native segmentation: Build sophisticated audiences using drag-and-drop Boolean logic that updates instantly as customer behaviour changes
- Federated data access: Query your existing data warehouse directly without moving sensitive data, addressing IT security concerns while maximising your current investments
How does Customer AI propensity scoring work in Real-Time CDP?
Customer AI generates individual propensity scores for every customer profile, identifying prospects with the strongest conversion signals based on actual behaviour patterns rather than demographics.
Key capabilities include:
- Individual-level scoring: Each profile receives a propensity score plus top influential factors driving that prediction
- Real-time updates: Scores refresh automatically as customer behaviour changes
- Customised configuration: Set up scoring for purchase intent, churn risk or subscription renewal
- Native integration: Runs within Real-Time CDP without requiring separate machine learning platforms
You can segment your database by propensity levels and activate different campaign strategies for high, medium and low-intent prospects automatically.
How does look-alike audience modelling help discover new customer segments?
Look-alike audience modelling analyses your best customers' behavioural patterns and characteristics, then identifies new prospects with similar high-value traits to expand your targeting beyond current approaches.
Core functionality:
- AI-powered analysis: Examines top customers to identify behavioural and demographic patterns indicating value
- Multi-dimensional matching: Considers behavioural patterns, engagement frequency, channel preferences and product affinity
- Built-in data governance: Automatically respects consent preferences and data usage policies
- Scalable discovery: Find similar prospects across any segment size while maintaining compliance
Look-alike modelling reveals customer segments sharing your best customers' engagement and purchase behaviours, helping identify qualified prospects beyond traditional demographic targeting.
