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.

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.

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.

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.

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.