10 Must-Have Features When Choosing the Right Customer Data Platform (CDP)


When selecting a Customer Data Platform (CDP), you should consider the following key features to ensure it aligns with your organization’s needs:

1. Data Integration Capabilities

  • Broad connectivity: Ability to integrate with various data sources (web, mobile, CRM, ERP, advertising platforms, etc.).
  • Real-time data ingestion: Supports collecting and processing data in real time.
  • APIs and pre-built connectors: Includes ready-made integrations and customizable APIs for unique systems.

2. Identity Resolution

  • Unified customer profiles: Combines data from multiple touchpoints into a single, cohesive profile.
  • Identity stitching: Resolves identities across channels (e.g., email, cookies, device IDs) with deterministic or probabilistic matching.
  • Data deduplication: Ensures profiles are clean and free of duplicates.

3. Data Management

  • Scalability: Handles large volumes of customer data as your business grows.
  • Data quality controls: Features for cleansing, validating, and normalizing data.
  • Data governance and compliance: Ensures adherence to privacy laws like GDPR, CCPA, and HIPAA.

4. Segmentation and Audience Building

  • Dynamic segmentation: Allows you to create and update customer segments in real time.
  • Granular control: Offers advanced filtering options to define audiences based on behavior, demographics, and preferences.
  • Scalability for personalization: Supports segment-specific campaigns at scale.

5. Analytics and Insights

  • Customer journey analysis: Tracks how customers interact across touchpoints and stages.
  • Predictive analytics: Provides AI/ML capabilities for forecasting behaviors and outcomes.
  • Dashboards and reporting: Intuitive interfaces for visualizing data and performance metrics.

6. Activation and Orchestration

  • Omnichannel capabilities: Enables personalized messaging across email, social, ads, and in-app.
  • Real-time triggers: Activates marketing or service responses instantly based on customer actions.
  • Workflow automation: Supports automated customer journeys and personalized campaign delivery.

7. Security and Privacy

  • Encryption and security standards: Ensures data is stored and transmitted securely.
  • User consent management: Tracks and respects customer consent preferences for data usage.
  • Role-based access control (RBAC): Restricts access based on team roles for enhanced security.

8. Ease of Use

  • User-friendly interface: Intuitive platform that can be used by marketers, not just technical teams.
  • Customizability: Adaptable workflows to meet specific business processes.
  • Documentation and support: Offers robust help resources, training, and responsive customer service.

9. Vendor Reliability and Ecosystem

  • Reputation and reliability: Trusted vendor with proven use cases and references.
  • Integration with existing tools: Plays well with your current tech stack (e.g., marketing automation, CRM).
  • Scalability and innovation roadmap: The vendor demonstrates the ability to evolve and meet future needs.

10. Cost and ROI

  • Transparent pricing: Clear understanding of costs (implementation, licenses, support).
  • Value alignment: Demonstrated ability to help meet your organization’s goals, from personalization to better ROI.

These features will help you ensure the CDP you choose delivers on its promise to centralize customer data, enhance personalization, and drive business outcomes effectively.

Here are 10 notable CDPs to consider:

Tealium Customer Data Hub: Provides comprehensive data integration and management solutions, enabling real-time customer data collection and activation.

Segment by Twilio: Offers robust data integration capabilities, enabling businesses to collect, unify, and route customer data across multiple channels.

Emarsys: Specializes in automated omnichannel customer engagement, providing tools for personalized marketing campaigns across email, SMS, and social media.

Optimove: Focuses on predictive segmentation, utilizing AI to analyze customer behavior and optimize marketing strategies.

FirstHive: Tailored for manufacturers, it integrates marketing and supply chain data to enhance customer experiences and loyalty.

Lytics: Aims to expand advertising reach by leveraging machine learning to create targeted customer segments for personalized marketing.

BlueConic: Emphasizes international data privacy management, ensuring compliance with global data protection regulations while unifying customer data.

ActionIQ: Designed for customer experience management, it provides tools to orchestrate personalized customer journeys across various channels.

Bloomreach Engagement: Combines CDP functionalities with content management and search capabilities, ideal for commerce businesses aiming to personalize customer interactions.

Totango: Offers a composable customer success platform, allowing businesses to tailor customer journeys and success plans to individual needs.