---
name: Amazon Ads Planning
slug: amazon-ads-planning
category: Data
description: Amazon Ads Planning plans and reviews Amazon Ads with margin-aware ACoS, product, and search-term guardrails. Use for Amazon advertising, Sponsored Products, Sponsored Brands, Sponsored Display, ASIN targeting, Amazon ACoS, or Amazon Ads performance exports.
github: "https://github.com/nowork-studio/notfair-plugin/tree/main/paid-ads/paid-ads-amazon"
language: TypeScript
stars: 3365
forks: 420
install: "npx degit https://github.com/nowork-studio/notfair-plugin/tree/main/paid-ads/paid-ads-amazon ~/.claude/skills/paid-ads-amazon"
installs_to: ~/.claude/skills/paid-ads-amazon
source_path: paid-ads/paid-ads-amazon/SKILL.md
collection_size: 25
category_size: 668
collection_url: "https://dirskills.com/collections/nowork-studio/notfair-plugin"
added: 2026-08-17T07:08:18.205Z
last_synced: 2026-08-17T07:08:18.205Z
canonical_url: "https://dirskills.com/skills/amazon-ads-planning"
---

# Amazon Ads Planning

Amazon Ads Planning plans and reviews Amazon Ads with margin-aware ACoS, product, and search-term guardrails. Use for Amazon advertising, Sponsored Products, Sponsored Brands, Sponsored Display, ASIN targeting, Amazon ACoS, or Amazon Ads performance exports.

**Install:**

```bash
npx degit https://github.com/nowork-studio/notfair-plugin/tree/main/paid-ads/paid-ads-amazon ~/.claude/skills/paid-ads-amazon
```

## README

# Amazon Ads Planning

Read `../shared/operating-contract.md` and `../shared/measurement-framework.md`. This plugin does not declare a first-party NotFair Amazon Ads MCP mutation surface; use a verified connector or supplied report and deliver a reviewable operator brief.

## Start with unit economics

Record the product/ASIN, marketplace, currency, contribution margin, price, inventory constraint, and target ACoS. ACoS is spend divided by attributed ad revenue; it is only good or bad relative to margin and the user's strategic goal. Separate the advertised product from any measured cross-sell before judging performance.

Propose the narrowest learning plan: product scope, campaign intent, automatic discovery or manual term/ASIN hypothesis, budget, negative/exclusion rule, and review window. Treat search-term findings as evidence for targeted negatives or promotion into controlled targeting, not as a reason to remove broad discovery prematurely.

## Review and handoff

Report spend, attributed sales, ACoS, ROAS if useful, orders, conversion rate, search-term quality, and inventory risk for a complete comparable window. State reporting lag and attribution source. Mark changes `ready_for_review` until a verified connector or authorized Amazon Ads operator confirms the exact result.