Amazon Marketing Cloud

Amazon Marketing Cloud (AMC) is a cloud-based clean room solution in which advertisers can perform analytics and build audiences across pseudonymized signals, including Amazon Ads signals as well as their own inputs.

AMC unifies rich signals across Amazon properties, advertiser, and onboarded third-party providers, and enables flexible querying over these signals in a privacy-safe environment. Advertisers can then use custom insights and audiences generated via AMC to optimize campaign tactics, guide marketing execution, and inform business decisions.

Use cases for AMC include:

• Custom audiences - Build bespoke audience lists using engagement records, conversion events, and segment information. Audiences created in AMC can be directly activated via Amazon DSP.
• Holistic measurement - Obtain in-depth understanding of customers’ journeys across Amazon Ads media and channels. Quantify advertising impact at online and offline Amazon stores, advertiser-owned sites, and beyond.
• Insight expansion - Subscribe to Paid Features (beta) powered by Amazon Ads and third-party providers such as Experian and NCS to expand the scope and depth of insights.
• Ease of Use - Generate, visualize, and action on insights with AMC Solutions (beta) with a few clicks, no SQL needed. Use instructional queries and analytic templates to generate insights faster.
• Signal collaboration - Connects signals from Amazon Ads, third-party providers, and advertisers for richer insights and actions. You can onboard signals through APIs, Event Manager, or integrated signal management tools.
• Privacy-safe environment - AMC only accepts pseudonymized information. All information in an advertiser’s AMC instance is handled in strict accordance with Amazon’s privacy policies, and signals cannot be exported or accessed by Amazon. Only aggregated, anonymous outputs from AMC can be accessed.

Advertisers and partners can use AMC APIs to programmatically manage AMC operations, establish system integrations, and develop software solutions at scale.