An overview of the most popular clean rooms, data management platforms, and customer data platforms

Data Clean Rooms, DMPs, and CDPs: What You Need to Know

We look at the notable features of the most-used DMPs, CDPs, and data clean rooms – and whether you need all three, or just one.

Data Management Platforms, Customer Data Platforms, and data clean rooms. Besides all utilizing customer data to enhance marketing efforts, what do they have in common?

To be honest, not much – and that’s a good thing.

While they may have some overlapping functions, each fulfills a different purpose when it comes to data strategy and marketing. Depending on your data strategy, you may use all three – or just one.

Together, they support different aspects of the customer and audience journey. For example, a DMP and a clean room can work together to segment an audience and compare it against anonymized data from walled gardens for campaign analysis.

How These Platforms Differ

• Data Clean Rooms → Enable secure, privacy-compliant data collaboration and analysis
• DMPs (Data Management Platforms) → Collect and organize mostly third-party data for audience targeting
• CDPs (Customer Data Platforms) → Consolidate first-party data to build detailed customer profiles

Data Clean Rooms: An Overview

A data clean room allows advertisers to compare their first-party data with anonymized data from walled gardens like Google and Amazon—or from other advertisers within a shared environment.

How It Works

• Walled gardens share aggregated, anonymized datasets
• Advertisers bring their first-party data into the same environment
• Data is matched and analyzed without exposing user-level information
• Insights are used for measurement, attribution, and campaign optimization

Key Benefits

• Complies with privacy regulations like GDPR and CCPA
• Focuses on first-party data in a cookieless environment
• Enables secure data collaboration

Popular Data Clean Rooms

Google Ads Data Hub

Overview: Analyze campaign performance using Google’s anonymized data
Pros:

• Access to massive Google data ecosystem
• Strong integration with Google Ads
• Privacy-safe aggregated insights
  Cons:
• Limited outside Google’s ecosystem

Amazon Marketing Cloud / AWS

Overview: Analyze shared datasets with enhanced security
Pros:

• Strong AWS integration
• Ideal for privacy-sensitive industries
  Cons:
• Limited external data integration

Snowflake Data Clean Room

Overview: Cloud-based data collaboration and analysis
Pros:

• Scalable for enterprise-level use
• Supports complex data projects
  Cons:
• Can be costly at scale

Habu

Overview: Build and manage custom clean room environments
Pros:

• Cross-platform compatibility
• Strong privacy compliance
  Cons:
• Limited customization in some cases

Data Management Platforms (DMPs): An Overview

A DMP collects, organizes, and activates mostly third-party data for marketing purposes.

This data is used to:

• Build audience segments
• Power targeted advertising
• Enable personalization

Once profiles are created, they are anonymized and shared with ad tech platforms such as DSPs and SSPs.

Key Characteristics

• Focus on third-party data (cookies, IPs)
• Do not store PII long-term
• Primarily used for prospecting and campaign targeting

Popular DMPs

Adobe Audience Manager

Pros:

• Integration with Adobe Experience Cloud
• Real-time data capabilities
• AI and machine learning features
  Cons:
• Challenging integrations outside Adobe ecosystem

Oracle BlueKai Data Cloud

Pros:

• Rich data marketplace
  Cons:
• Privacy concerns

Lotame

Overview: End-to-end audience intelligence platform
Pros:

• Flexible and customizable
  Cons:
• Scaling challenges

LiveRamp

Pros:

• Strong CTV and streaming capabilities
• Access to first- and second-party data
• Reduced reliance on third-party cookies
  Cons:
• Slow onboarding process

Customer Data Platforms (CDPs): An Overview

A Customer Data Platform (CDP) aggregates first-party customer data to create a unified view of each individual.

Key Capabilities

• Combines data from:
  • Websites
  • Apps
  • CRM systems
  • Email and social channels
• Enables identity resolution and segmentation
• Provides real-time customer insights
• Supports predictive analytics

CDPs are foundational for personalized marketing strategies.

Popular CDPs

Salesforce Customer 360 Data Cloud

Pros:

• Strong CRM integration
• Real-time processing
• User-friendly interface
  Cons:
• Requires technical expertise
• Compliance must be carefully managed

Tealium AudienceStream

Pros:

• Strong data governance
• Real-time capabilities
• Integration flexibility
  Cons:
• Complex implementation
• Higher cost

Treasure Data

Pros:

• Robust data unification
• Strong analytics capabilities
  Cons:
• Integration setup challenges
• Less intuitive UI

Adobe Experience Platform

Pros:

• Scalable ecosystem
• Advanced analytics
  Cons:
• Complexity and cost
• Steep learning curve

Segment

Pros:

• Easy to use
• Real-time data capabilities
  Cons:
• Can be expensive
• Learning curve for advanced use

Do You Need All Three?

Some organizations do—especially those with:

• Advanced data strategies
• Complex data ecosystems
• Multiple active campaigns

Others may only need:

• A CDP alone
• Or a combination of two platforms

When combined with tools like:

• CRMs
• DSPs
• Marketing automation platforms

These technologies become part of a broader marketing data ecosystem.

Building the Right Data Strategy

Developing the right data strategy is an iterative and evolving process.

Whether you need:

• Just a CDP
• A combination of tools
• Or all three platforms

…it’s essential to understand what’s available and choose what best aligns with your business goals and marketing strategy.