Customer Data Platforms (CDPs) have become essential tools for organizations looking to unify and leverage customer data across channels and departments. At their core, CDPs are designed to ingest, manage, and activate individual-level customer data from multiple sources. As businesses grow increasingly reliant on customer insights to fuel personalization and engagement strategies, CDPs offer a centralized solution that bridges marketing, sales, customer support, and IT.
While there is a difference between B2B CDPs and B2C CDPs worth understanding, let’s focus on the 10 key features and capabilities that define leading CDP solutions according to Gartner:
Data Collection: Real-Time, Multisource Ingestion
A foundational capability of any CDP is robust data collection. CDPs ingest first-party customer data from both online and offline sources—websites, apps, CRM systems, call centers, and more—in real time. Importantly, this includes both anonymous and known identifiers, and the data is typically stored in its raw form to preserve integrity. There are no limits on storage, and data persists as long as it’s needed for processing or analysis, ensuring long-term value from every interaction.
Profile Unification: Creating a Single View of the Customer
Once data is collected, CDPs unify this information into person-level profiles. This involves matching behaviors, identifiers, and attributes to individual customers, even across multiple touchpoints and devices. For B2B use cases, this also includes account-level aggregations—grouping contacts within the same company to enable more effective account-based marketing (ABM) and sales strategies. The result is a cohesive, real-time view of every customer or account.
Activation: Fueling Campaigns and Engagement
CDPs don’t just store and organize customer data—they make it actionable. Through activation features, CDPs can send segments or audience data, along with instructions, to downstream engagement tools such as email marketing platforms, mobile messaging systems, and digital ad platforms. This allows marketing teams to target the right audience with the right message at the right time, significantly improving campaign efficiency and performance.
Analytic Reporting: Measuring What Matters
A core component of CDP functionality is the ability to generate insightful reports at various levels—attribute, profile, and segment. This enables businesses to analyze performance and behavior trends, uncover new opportunities, and refine targeting strategies. Advanced CDPs may also include tools for prioritizing responses to key customer events or predicting future behavior based on historical patterns.
Segmentation and Personalization
Most CDPs provide intuitive interfaces for creating and managing customer segments using rule-based logic. Advanced solutions go further, enabling dynamic audience building and supporting predictive analytics to optimize messaging and offers. When paired with personalization engines, CDPs can deliver real-time content and product recommendations, tailored to the customer’s preferences, behavior, and lifecycle stage.
Data Integration and Interoperability
Modern CDPs are built to connect. Integration capabilities allow for seamless data exchange between the CDP and other platforms—cloud data warehouses, CRM systems, martech stacks, and customer-facing applications. Some CDPs now adopt a lakehouse architecture, enabling flexible storage and retrieval of structured and unstructured data and supporting various data processing modes like batch and streaming.
Privacy, Consent, and Governance
As data privacy regulations evolve, CDPs are stepping up to help organizations remain compliant. Key capabilities include managing consent and preference data, enforcing user-level access control, masking sensitive information, and enabling audit trails. Features that support synchronization of consent flags across systems ensure that customers’ data preferences are honored at every touchpoint.
Advanced Data Science and Testing Tools
Beyond basic analytics, some CDPs include a data science workbench—supporting custom predictive models written in R or Python. These models allow teams to tailor their insights and predictions to specific business needs. Additionally, A/B and multivariate testing capabilities help teams fine-tune their campaigns and customer journeys, optimizing experiences in real time based on performance.
B2B and Account-Level Functionality
For organizations operating in B2B environments, CDPs offer specialized capabilities like identity resolution and account-based aggregations. These tools help sales and marketing teams align on key accounts, understand relationships within organizations, and drive unified go-to-market strategies. The result is a more coordinated and effective approach to lead management and customer engagement.
Expanding Across the Customer Experience Ecosystem
Lastly, CDPs are increasingly integrated into broader customer experience (CX) systems. By sharing unified customer data with sales, support, digital commerce, and service platforms, CDPs ensure a consistent and personalized experience across the entire customer lifecycle. Advanced CDPs may also leverage identity graphs and data clean rooms for deeper insights into anonymous users and to enable secure data sharing for advertising and measurement use cases.
As the role of data in business strategy continues to grow, CDPs are no longer just marketing tools—they are enterprise-wide enablers of customer intelligence and action. By bringing together rich data management, privacy compliance, personalization, and analytics capabilities, CDPs empower organizations to deliver better customer experiences, faster decisions, and stronger business outcomes. To dive deeper into the main functions and use cases for Customer Data Platforms (CDPs) and to explore the solutions in the market, check out Gartner’s newly published Magic Quadrant for Customer Data Platforms, 2025.
For more information about Leadspace’s CDP has to offer, check out the Leadspace Studio. Hop on the fastest road to revenue today with our best-in-class B2B buyer profiles and Identity Resolution framework.