Amazon Marketing Cloud work is usually multi-step: gather context, write or select a query, validate privacy thresholds, interpret results, and decide whether to activate an audience. Kuudo turns those steps into reusable skills.
What the agent can run
- Deep campaign findings.
- Customer journey illustration.
- Media mix and incrementality analysis.
- On- and off-Amazon sales attribution.
- Audience and engagement insight.
- Multi-touch attribution.
- Bespoke DSP audience builds.
- Paid Features enrichment.
How a run works
- The agent selects the matching skill.
- The skill resolves advertiser, campaign, date range, and goal.
- MCP tools query AMC and connected signal sources.
- Kuudo applies privacy and activation guardrails.
- The output is returned with a reproducible run log.
Privacy model
AMC inputs should be pseudonymized. Outputs should be aggregated and anonymous. Kuudo keeps those constraints visible in the run log and prevents activation when minimum-size or policy checks fail.
Human approval
Analysis can complete automatically. Activation, such as pushing a DSP audience, should pass through a human approval step unless your workspace policy explicitly allows automatic execution.
Operational pattern
Start with read-only skills. Once the team trusts the run logs, add activation steps with approval gates. Version each skill like code so analysts and operators can review changes before they become standard workflow.