Clean Room Integrations - Privacy-Preserving Audience Matching

Clean Room Integrations Overview

Clean rooms provide a privacy-preserving way to analyze and match audiences with partners without sharing raw data. Ours Privacy's S3 Data Warehouse integration enables seamless connectivity with major clean room providers, allowing you to leverage your event data for secure audience matching and analysis.

Supported Clean Room Providers

Ours Privacy's S3 Data Warehouse integration works with several leading clean room providers:

AWS Clean Rooms

Direct integration with Amazon S3 data storage
No data movement required - queries run at source
Support for multiple data sources including S3, Athena, and Snowflake
Built-in privacy controls and query restrictions

LiveRamp Clean Rooms

Seamless connection with LiveRamp's data connectivity platform
Privacy-compliant data collaboration
Integration with existing data environments
Advanced identity resolution capabilities

Snowflake Clean Rooms

Native integration with Snowflake's data cloud
Secure data sharing and collaboration
Efficient processing of shared datasets
Enterprise-grade security controls

How It Works

Data Preparation
- Your event data is automatically deposited into your S3 bucket in parquet format
- Data is organized by year/month/day for efficient querying
- All necessary identifiers and properties are included for matching
Clean Room Connection
- Connect your S3 bucket to your chosen clean room provider
- Configure access permissions and query restrictions
- Set up data sharing agreements and privacy controls
Audience Matching
- Run privacy-preserving queries to match audiences
- Analyze overlap and characteristics of matched audiences
- Generate insights without sharing raw data
Results and Activation
- Receive aggregated results and insights
- Activate matched audiences through supported channels
- Maintain privacy throughout the entire process

Best Practices

Data Organization: Maintain clean, well-structured data in your S3 bucket
Access Control: Implement strict access controls and query restrictions
Privacy Compliance: Ensure all data usage complies with privacy regulations
Regular Updates: Keep your data fresh with daily deposits
Audience Definition: Clearly define your audience criteria before matching

Getting Started

To begin using clean rooms with your Ours Privacy data:

Set up the S3 Data Warehouse integration following our S3 Data Warehouse guide
Choose your preferred clean room provider
Configure the connection between your S3 bucket and the clean room
Define your audience matching criteria
Start running privacy-preserving analyses

Use Cases

Audience overlap analysis
Lookalike audience creation
Cross-channel audience insights
Partner data collaboration
Privacy-preserving market research
Secure audience activation