Amazon Marketing Cloud Clean Room
Amazon Marketing Cloud (AMC) on AWS Clean Rooms gives advertisers a privacy-safe way to combine their own first-party data with Amazon Ads signals without moving raw records outside their AWS environment. This secure collaboration model enables brands and agencies to measure campaign performance, optimize advertising strategies, and build more effective audiences while maintaining strict privacy controls. As privacy-first marketing becomes the standard, AMC on AWS Clean Rooms represents a significant advancement in how advertisers analyze and activate data across the Amazon Ads ecosystem.
Key Takeaways
- Amazon Marketing Cloud (AMC) on AWS Clean Rooms enables advertisers to securely combine Amazon Ads signals with their own first-party data while keeping raw customer records protected.
- Privacy-safe collaboration and advanced analytics help brands measure customer journeys, improve attribution, optimize campaigns, and generate deeper audience insights using custom SQL queries.
- Built for a privacy-first advertising landscape, AMC on AWS Clean Rooms supports more informed marketing decisions without exposing personally identifiable information (PII) or compromising data security.
What Is Amazon Marketing Cloud and How Does Its Clean Room Work?
Amazon Marketing Cloud (AMC) is a cloud-based analytics and clean room solution built for advertisers using Amazon Ads. It provides a secure environment where advertisers can analyze Amazon Ads event-level data alongside their own first-party data without exposing personally identifiable information (PII) or sharing raw customer records.
Unlike traditional reporting platforms, AMC allows businesses to gain deeper insights without having to rely only on predefined dashboards. across approved datasets while enforcing strict privacy controls. The platform returns only aggregated results, ensuring that individual users cannot be identified and that each organization maintains control over its own data.
What makes AMC unique is its deep integration with the Amazon Ads ecosystem. Advertisers can analyze signals from products such as Amazon DSP, Sponsored Products, Sponsored Brands, Sponsored Display, Amazon Live, and streaming signals alongside customer data stored in their own systems. This enables more comprehensive measurement of customer journeys, campaign attribution, audience behavior, and advertising performance.
For organizations using AMC on AWS Clean Rooms, the platform also supports secure collaboration with data stored in Amazon S3. This allows brands and their trusted partners to perform advanced analytics while keeping sensitive data protected within their own AWS environments.
How AMC Uses AWS Clean Rooms and AWS Entity Resolution
Amazon Marketing Cloud (AMC) combined with AWS Clean Rooms provides advertisers with a privacy-focused way to collaborate and analyze advertising data while keeping underlying customer information protected. This approach allows organizations to connect Amazon Ads signals with their own first-party data stored within their AWS environment while maintaining control over how data is accessed and analyzed.
Advertisers can configure an AWS Clean Rooms collaboration by defining approved datasets, permissions, and analysis rules. These datasets may include CRM information, purchase records, website activity, subscription data, or other first-party signals stored in services such as Amazon S3. Each participant maintains control of its own data, and only permitted queries and aggregated outputs are allowed.
AWS Entity Resolution can support this workflow by helping organizations prepare and match customer records across different datasets using privacy-preserving matching techniques. Instead of sharing raw customer information, advertisers can create secure connections between related records, enabling more accurate audience analysis and measurement while following data governance requirements.
After datasets are configured, analysts can use AMC and clean room analytics capabilities to evaluate advertising performance, including campaign reach, frequency, conversion journeys, audience overlap, incremental impact, and sales outcomes. Privacy controls, query restrictions, and aggregation rules help ensure that analysis produces actionable insights without exposing sensitive customer-level information.
For advertisers collaborating with approved partners, AWS Clean Rooms can also support privacy-safe analysis across multiple authorized datasets. This enables deeper audience understanding, improved campaign measurement, and stronger marketing optimization while maintaining strict control over data access and usage.
Key Benefits of Amazon Marketing Cloud Clean Room
Amazon Marketing Cloud Clean Room enables advertisers to securely analyze and collaborate on data while maintaining strict privacy protections. By combining Amazon Ads signals with first-party data in a privacy-safe environment, advertisers can gain deeper insights into customer behavior, measure campaign performance more accurately, and optimize marketing strategies without exposing raw customer information.
Privacy and Data Control
Amazon Marketing Cloud Clean Room enables advertisers to securely analyze first-party data alongside Amazon Ads signals without moving or exposing raw customer records. The platform supports approved, privacy-protected datasets, applies strict privacy controls and query rules, and returns only aggregated insights. This allows advertisers to gain valuable measurement and audience insights while maintaining control of their data and supporting compliance with evolving privacy requirements.
Richer Marketing Insights
By combining Amazon Ads signals such as impressions, clicks, video views, and conversions with first-party customer data, advertisers can perform full-funnel analysis, evaluate multi-touch attribution, and measure incremental campaign impact. These insights provide a more complete understanding of customer behavior across the buying journey.
Better Media Optimization
AMC enables advertisers to identify the campaign sequences, audience segments, and ad frequencies that drive the strongest results. These insights can then inform bidding strategies, frequency management, budget allocation, and creative optimization across Amazon Ads campaigns.
Smarter Audience Strategies
Advertisers can use insights generated in AMC to refine audience segmentation based on customer engagement, purchase behavior, or lifetime value. Where supported, these insights can also inform audience activation within Amazon Ads for more relevant targeting.
Greater Operational Efficiency
Custom SQL queries, reusable query templates, scheduled reporting, and API integrations help automate analysis and reduce manual reporting. These capabilities enable marketers and marketing teams to generate insights more efficiently and make faster, data-driven decisions.
Step-by-Step: How to Use Amazon Marketing Cloud Clean Room
Using Amazon Marketing Cloud (AMC) on AWS Clean Rooms allows advertisers to securely combine Amazon Ads signals with first-party data for privacy-safe analysis. The following steps outline the typical workflow.
Step 1: Set Up Access
Request access to an AMC instance and create or join an AWS Clean Rooms collaboration. Configure the required AWS Identity and Access Management (IAM) permissions, encryption settings, and collaboration policies to enable secure data access and analysis.
Step 2: Connect Your First-Party Data
Add approved first-party datasets, such as CRM records, website events, purchase history, conversion log data, or loyalty information. These datasets are typically stored in Amazon S3 and configured for secure analysis within AWS Clean Rooms.
Step 3: Configure Identity Matching
If needed, use AWS Entity Resolution to securely match customer records across datasets. This enables more accurate analysis while keeping personally identifiable information (PII) protected.
Step 4: Analyze Your Data
Run custom SQL queries in AMC to combine Amazon Ads signals with your first-party data. You can measure customer journeys, campaign attribution, audience overlap, reach, frequency, and conversion performance.
Step 5: Optimize Campaigns
Review the aggregated insights and use them to refine audience targeting, improve bidding strategies, optimize campaign performance, and support more informed marketing decisions across the Amazon Ads ecosystem.
Use Cases of Amazon Marketing Cloud Clean Room
Amazon Marketing Cloud (AMC) Clean Room enables advertisers, brands, and agencies to securely combine Amazon Ads signals with approved first-party data to gain deeper customer insights, improve campaign measurement, and optimize advertising performance while maintaining strict privacy protections. Below are some of the most common real-world use cases.
Measurement and Attribution
A retail brand can combine Amazon DSP video impressions, Sponsored Products clicks, and available conversion signals to understand which campaigns and advertising channels contribute most to conversions. Where supported, first-party offline sales data can also be incorporated through privacy-preserving matching to provide a more complete view of the customer journey.
Audience Refinement
A consumer packaged goods (CPG) brand with a loyalty program can identify high-value repeat customers within its first-party data and analyze how those audiences engage with Amazon Ads. These insights help advertisers refine audience strategies and, where supported, activate more relevant audiences through Amazon DSP.
Frequency and Creative Optimization
Advertisers can compare customer groups exposed to different ad frequencies or creative sequences to determine which combinations generate the strongest engagement and conversion rates. These insights help optimize frequency caps, creative strategies, bidding decisions, and media planning.
Product Launch Measurement
When launching a new product, advertisers can use AMC to measure performance across Amazon DSP and Sponsored Ads, evaluate campaign reach, conversions, and customer engagement, and connect aggregated insights with business intelligence tools to support faster reporting and ongoing campaign optimization.
Secure Data Collaboration
Amazon Marketing Cloud (AMC) on AWS Clean Rooms enables advertisers to securely collaborate with approved partners, including agencies, retailers, loyalty programs, and third-party vendors, without exposing raw customer data. By allowing privacy-safe analysis across shared datasets, advertisers can generate richer insights while maintaining strong data governance and compliance standards.
Privacy, Governance, and Best Practices in AMC Clean Rooms
Privacy-safe data collaboration and strong governance are central to Amazon Marketing Cloud (AMC) on AWS Clean Rooms. By combining secure data analysis with robust access controls, advertisers can generate valuable insights while protecting sensitive customer information and maintaining compliance with evolving privacy requirements.
Data Protection
AMC is designed to protect customer privacy by supporting privacy-preserving data collaboration. Raw Amazon Ads data cannot be exported, and query results are returned only in aggregated form after meeting predefined privacy thresholds. These safeguards help reduce the risk of exposing or re-identifying individual users.
Access Control
Organizations should implement AWS Identity and Access Management (IAM) roles using the principle of least privilege. Clearly define who can configure datasets, run SQL queries, manage collaborations, and access reporting results to maintain a secure analytics environment.
Establish Governance Policies
Create clear governance guidelines for data collaboration, including approved use cases, data retention policies, query review processes, and user responsibilities. Regular reviews with legal, security, and privacy teams can help ensure ongoing compliance with organizational policies and applicable regulations.
Maintain High-Quality Data
Accurate analysis depends on well-prepared data. Standardize customer identifiers, timestamps, and key business attributes across datasets to improve identity matching, reporting accuracy, and overall data consistency.
Collaborate with Trusted Partners
When working with agencies, retailers, or third-party vendors, clearly define responsibilities for data preparation, SQL query development, reporting, and campaign optimization. Well-defined workflows and governance processes help ensure efficient collaboration while protecting sensitive data.
Follow Privacy-First Best Practices
Advertisers should routinely review user access, maintain accurate first-party datasets, validate SQL queries, and monitor campaign measurement workflows. Following these best practices helps improve reporting accuracy, supports better decision-making, and ensures data is analyzed within established privacy and governance controls.
Summary
Amazon Marketing Cloud Clean Room enables advertisers to securely combine Amazon Ads signals with approved first-party data to gain deeper customer insights, improve campaign measurement, and optimize advertising performance without exposing raw customer information. By following strong governance practices, maintaining high-quality data, and applying privacy-first principles, advertisers can unlock more accurate measurement and make better-informed marketing decisions while protecting customer privacy.
