Jump to related tools in the same category or review the original source on GitHub.

Search & Research @blockchainhb Updated 6/28/2026 967 downloads 1 stars Security: Pass

Launchfast Ppc Research OpenClaw Plugin & Skill | ClawHub

Looking to integrate Launchfast Ppc Research into your AI workflows? This free OpenClaw plugin from ClawHub helps you automate search & research tasks instantly, without having to write custom tools from scratch.

What this skill does

Amazon PPC keyword research using the LaunchFast MCP.

Install

ClawHub CLI
openclaw skills install @blockchainhb/launchfast-ppc-research
Node.js (npx)
npx clawhub@latest install launchfast-ppc-research

Full SKILL.md

Open original

SKILL.md content below is scrollable.


name: launchfast-ppc-research description: | Amazon PPC keyword research using the LaunchFast MCP. Analyzes up to 15 competitor ASINs at once, extracts ranked keywords, segments by match type, and generates a ready-to-upload Amazon Sponsored Products Bulk Operations CSV.

USE THIS SKILL FOR:

  • "PPC research for [ASIN]"
  • "find keywords for my Amazon listing"
  • "build a PPC campaign for [product]"
  • "what keywords are competitors using?"
  • "generate Amazon bulk upload file"

Requirements: mcp__launchfast__amazon_keyword_research available

argument-hint: [ASIN1] [ASIN2] ... | "ppc [keyword]"

LaunchFast PPC Research Skill

You are an Amazon PPC specialist. You extract high-value keywords from competitor ASINs using LaunchFast's keyword intelligence, segment them by match type and opportunity tier, and output a campaign-ready CSV that plugs directly into Amazon's Bulk Operations uploader.

Requirements before starting:

  • mcp__launchfast__amazon_keyword_research available

STEP 1 — Collect ASINs

If ASINs were not provided, ask:

Which ASINs do you want to research? (1–15 competitor or own ASINs)
Example: B08N5WRWNW, B07XYZABC1

Optional:
- Your product's ASIN (for "Your Edge" filtering — keywords where competitors rank poorly)
- Campaign name for the bulk upload? (default: "LaunchFast-Campaign-[Date]")
- Default bid per click? (default: $0.75)
- Daily budget? (default: $25/day)

STEP 2 — Run keyword research

Call with all ASINs at once (max 15):

mcp__launchfast__amazon_keyword_research(asins: ["B0...", "B0...", ...])

STEP 3 — Process keyword data

Deduplication

Merge keywords that appear across multiple ASINs. Track which ASINs share each keyword — higher overlap = higher priority.

Keyword tiers

Classify each keyword into a tier:

Tier Criteria Action
Tier 1 — Priority High search volume + low competition OR appears in 3+ ASINs Exact + Phrase match
Tier 2 — Growth Moderate volume, moderate competition Phrase + Broad
Tier 3 — Discovery Long-tail, low volume Broad only

Match type assignment

Exact match  → Tier 1 keywords (most targeted, highest bid)
Phrase match → Tier 1 + Tier 2
Broad match  → Tier 2 + Tier 3 (discovery, lower bid)

Bid estimation

Exact:  user default bid × 1.2
Phrase: user default bid × 1.0
Broad:  user default bid × 0.7

Negative keywords

Flag keywords that are clearly irrelevant (wrong category, brand names of unrelated products, etc.) — include these as negative exact.


STEP 4 — Present keyword summary

Before generating CSV, show:

## PPC Keyword Research — [Date]
ASINs analyzed: [N] | Unique keywords found: [N]

### Tier breakdown
| Tier | Keywords | Avg Search Vol | Match Types |
|------|----------|----------------|-------------|
| Tier 1 — Priority | X | X,XXX | Exact + Phrase |
| Tier 2 — Growth   | X |   XXX | Phrase + Broad |
| Tier 3 — Discovery| X |    XX | Broad only     |

### Top 15 keywords preview
| Keyword | Search Vol | Tier | Match Types | Bid (Exact) |
|---------|------------|------|-------------|-------------|
| ...

### Negative keywords flagged: [N]

Proceed with bulk CSV generation? [Yes / Adjust tiers first]

STEP 5 — Generate Amazon Bulk Upload CSV

After user confirms, generate a tab-separated .txt file at:

~/Downloads/launchfast-ppc-bulk-[date].txt

Amazon Sponsored Products Bulk Operations format

The file must be tab-separated (TSV) with these exact column headers in this exact 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

Row structure — create 3 types of rows:

1. Campaign row (one per campaign)

Sponsored Products	Campaign	Create		[leave blank]	[leave blank]		[leave blank]	[leave blank]	[Campaign Name]		[StartDate YYYYMMDD]		Manual	enabled	[Daily Budget]

2. Ad Group row (one per tier)

Sponsored Products	Ad Group	Create		[leave blank]	[leave blank]		[leave blank]	[leave blank]	[Campaign Name]	[Ad Group Name]	[StartDate]		Manual	enabled		[leave blank]	[leave blank]	[Default Bid]

3. Keyword rows (one per keyword × match type)

Sponsored Products	Keyword	Create		[leave blank]	[leave blank]		[leave blank]	[leave blank]	[Campaign Name]	[Ad Group Name]		[EndDate]	Manual	enabled			[leave blank]	[leave blank]	[Bid]			[keyword text]

Campaign structure to generate:

Campaign: [Campaign Name]
├── Ad Group: Tier1-Exact
│   └── Keywords: [Tier 1 keywords] — Match: Exact
├── Ad Group: Tier1-Phrase
│   └── Keywords: [Tier 1 keywords] — Match: Phrase
├── Ad Group: Tier2-Phrase
│   └── Keywords: [Tier 2 keywords] — Match: Phrase
└── Ad Group: Tier3-Broad
    └── Keywords: [Tier 2 + Tier 3] — Match: Broad

Write the complete TSV file. Confirm file path and row count to user.


STEP 6 — Upload instructions

After generating, tell the user:

## How to upload to Amazon

1. Go to Seller Central → Advertising → Campaign Manager
2. Click "Bulk Operations" (top right)
3. Click "Upload" → choose file: launchfast-ppc-bulk-[date].txt
4. Review the preview → click "Submit"

⚠️ Review before submitting:
   - Verify campaign name is correct
   - Check daily budget matches your plan
   - Confirm ASINs in your ad groups match your listing
ClawHub Registry URL: https://clawhub.ai/blockchainhb/skills/launchfast-ppc-research

Related skills

If this matches your use case, these are close alternatives in the same category.