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12. Amazon Marketing Cloud

This cluster contains 3 wiki page entries. Read it as a mini-module: learn the concept, try the workflow, then practice with a report, campaign draft, or simulator scenario.

Pages in this section

  • [[12.1 What AMC Is and Who Needs It]]
  • [[12.2 AMC Use Cases]]
  • [[12.3 AMC SQL Basics]]

Merged from Complete Data-Filled Guide

Complete data-filled section notes

Amazon Marketing Cloud is an advanced analytics clean room. A clean room means advertisers can analyze privacy-safe Amazon data without taking raw customer data out of Amazon.

AMC is useful for enterprise brands, agencies, and advanced advertisers that need cross-channel attribution, overlap analysis, custom audience creation, and deeper funnel measurement.

Common use cases

  • See whether DSP exposure helped Sponsored Products conversion.
  • Measure audience overlap between campaigns.
  • Build audiences like people who bought Product A but not Product B.
  • Compare exposed and unexposed audiences.

SQL primer

AMC requires SQL-style querying. Beginners do not need to write complex queries immediately, but they should understand that AMC is not a normal dashboard. It is closer to a privacy-safe analytics database.

Operator checklist

  • Explain the topic in plain English.
  • Identify the report, console area, or input data needed.
  • Make the smallest safe change first.
  • Log the action, reason, and expected review date.
  • Escalate if the issue touches policy, inventory, account health, or large budget changes.