Product Research

Amazon FBA Product Research

This skill is the deeper, criteria-driven version of launchfast-product-research.

Core criteria

Evaluate every market against these baselines:

Large-market exception:

• If niche revenue is above $1M, higher review counts can still be acceptable when multiple sellers under 200 reviews are doing strong revenue.

Workflow

1. Initial scan

Run:

research_products(keyword="<keyword>", focus="balanced", product_limit=20)

Extract:

• search volume
• average price
• average reviews
• opportunity score
• market grade
• brand concentration
• dominant brand
• total niche revenue
• average revenue per seller
• top-seller share

2. Financial trend check

Run:

research_products(keyword="<keyword>", focus="financial", product_limit=20)

Look for:

• growing vs stable vs declining products
• average MoM growth
• short-term momentum using 7d trend fields

3. Listing quality check

Run:

research_products(keyword="<keyword>", focus="titles", product_limit=10)

Look for:

• low listing quality scores with high revenue
• listing quality gaps
• weak copy or obvious differentiation openings

4. Keyword validation

Pick 2-3 relevant ASINs and run:

amazon_keyword_research(asins=["ASIN1", "ASIN2", "ASIN3"], limit=20)

Evaluate:

• keyword diversity
• CPC and sponsored density
• purchase rate
• obvious ranking gaps

5. Profitability estimate

Present a conservative estimate:

Selling Price
- Amazon Fees (~15%)
- Manufacturing
- Shipping
= Estimated Profit per Unit
= Estimated Margin %

If manufacturing cost is unknown, say so and state the assumption used.

Output format

Use a scorecard first:

## Market Scorecard: [keyword]

| Criteria | Threshold | Actual | Status |
|---|---|---|---|

Then include:

• market grade
• opportunity score
• trend summary
• verdict: VIABLE, MARGINAL, or NOT RECOMMENDED
• concise rationale

Rabbit-hole expansion

Use adjacent-niche exploration only when it is helpful:

• identify variations from the first result set
• rerun research_products on the most promising adjacent keywords
• keep the branching tight; do not explode the scope without user intent

Source: hashgraph-online/awesome-codex-plugins → plugins/BlockchainHB/launchfast_codex_plugin/skills/product-research/SKILL.md