LaunchFast PPC Research

SkillFiles & storage

Codex-native Amazon PPC keyword research using LaunchFast MCP. Use when the user wants competitor keyword discovery, keyword tiering, or a ready-to-upload Amazon Sponsored Products bulk file from 1-15 ASINs.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the LaunchFast PPC Research skill

What this skill tells your AI

The instructions your AI receives, as published by hashgraph-online/awesome-codex-plugins in plugins/BlockchainHB/launchfast_codex_plugin/skills/launchfast-ppc-research/SKILL.md and read by ahel’s review.

Inputs

If needed, ask once for:

  • 1-15 ASINs
  • optional campaign name
  • optional default CPC bid
  • optional daily budget
  • optional output path

Defaults:

  • campaign name: LaunchFast-PPC-[YYYY-MM-DD]
  • default bid: 0.75
  • daily budget: 25
  • output path: ./artifacts/launchfast/ppc/launchfast-ppc-[YYYY-MM-DD].tsv

Workflow

1. Run keyword research

Run one keyword-research call across all ASINs when possible:

amazon_keyword_research(asins=[...], limit=50)

If the ASIN set is too large or results are unwieldy, batch them, but do not require delegation.

2. Normalize and tier keywords

For each keyword:

  • deduplicate across ASIN overlaps
  • keep overlap count
  • capture search volume, CPC, purchase rate, relevance, and ranking coverage

Tiering:

  • Tier 1: high-value terms with strong overlap or standout volume and conversion
  • Tier 2: mid-volume growth terms
  • Tier 3: discovery and long-tail terms

Match mapping:

  • Exact: Tier 1
  • Phrase: Tier 1 and Tier 2
  • Broad: Tier 2 and Tier 3

Bid guidance:

  • Exact: default bid * 1.2
  • Phrase: default bid * 1.0
  • Broad: default bid * 0.7

3. Present a preview

Show:

  • ASINs analyzed
  • unique keywords found
  • tier breakdown
  • top 15 keywords preview
  • negative keywords or exclusions if obvious

4. Generate the bulk file

If the user wants the export, create the parent directory and write a TSV.

Use a deterministic writer such as Python csv.writer with a tab delimiter.

Required output:

  • one campaign
  • ad groups split by tier and match type
  • keyword rows with bids

Default to this exact tab-separated header and column order:

Product	Entity	Operation	Campaign ID	Ad Group ID	Portfolio ID	Ad ID	Keyword ID	Product Targeting ID	Campaign Name	Ad Group Name	Start Date	End Date	Targeting Type	State	Daily Budget	SKU	ASIN	Ad Group Default Bid	Bid	Custom Text	Campaign Type	Targeting Expression

Deterministic campaign structure:

  • Tier1-Exact: Tier 1 keywords as Exact
  • Tier1-Phrase: Tier 1 keywords as Phrase
  • Tier2-Phrase: Tier 2 keywords as Phrase
  • Tier3-Broad: Tier 2 and Tier 3 keywords as Broad

Generate three row types only:

  • Campaign row: one per campaign
  • Ad Group row: one per ad group
  • Keyword row: one per keyword and match-type pair

Use:

  • Start Date: current date in YYYYMMDD
  • Targeting Type: Manual
  • State: enabled
  • Campaign Type: Sponsored Products

If the user requests a different Amazon bulk format, switch only with explicit confirmation.

Output

Default answer structure:

  • short summary of keyword landscape
  • preview table
  • export path and row count if a file was written

If no export is requested, stop after the preview and recommendations.

Signals

GitHub stars
985
Forks
276
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
launchfast-ppc-research
Source
github.com/hashgraph-online/awesome-codex-plugins