Amazon Marketing Cloud vs AWS Clean Rooms

Amazon Marketing Cloud (AMC) is a cloud-based clean room for analytics and audience building across pseudonymized Amazon Ads signals and advertiser inputs. Built on AWS Clean Rooms, it brings together signals from Amazon properties, advertisers, and onboarded third-party providers for flexible querying. Advertisers can form audiences from engagement records, conversion events, and segments, then activate them for sponsored, video, and display ads. AMC can also measure customer journeys across Amazon Ads media and channels, including advertising impact at Amazon stores and advertiser-owned sites. Users can generate insights and visualizations without SQL using curated templates and Ads Agent assistance; SQL analysis is also supported. Ads Data Manager and related tools connect signals, while APIs support reporting, audience management, and first-party signal onboarding. Outputs are aggregated and anonymous, and advertiser-uploaded signals remain in a dedicated instance that Amazon cannot access or export. AMC provides 25 months of ad traffic signals and hundreds of campaign fields. It is available at no cost to eligible advertisers through web and API access.

AWS Clean Rooms lets companies analyze collective datasets without exchanging or copying the underlying data. Multiple companies can contribute to one collaboration while retaining data in their own accounts. Customers can permission AWS data and work with partner datasets in Snowflake and AWS through zero-ETL. Analysis supports SQL, Spark SQL, PySpark and machine learning. AWS lists advertising insights, investment decisions, research and development, customer insights and reporting as use cases. Privacy controls include fine-grained analysis rules, differential privacy, cryptographic computing, output restrictions and query logging. Clean Rooms ML supports custom and lookalike modeling; custom modeling allows collaborators to bring a model for training and inference without sharing underlying data or intellectual property. Access is available through the console, API, SDKs and command line. AWS lists availability in 11 Regions. Pricing is pay-as-you-go by capability and Region, with stated minimum charges for Spark SQL and PySpark. No free plan is available.