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Get Started Free →Codex-native Amazon PPC setup workflow using Kunze's broader ecosystem-driven strategy. Use when the user wants LaunchFast-driven bulk-sheet generation with broad and phrase coverage, gap analysis, and a campaign package written to disk.
| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-15 | ✗→✓ | ▲ Improved | 158% | 0% |
| case-09 | ✗→✓ | ▲ Improved | -48% | 0% |
| case-10 | ✗→✓ | ▲ Improved | -28% | 0% |
| case-12 | ✗→✓ | ▲ Improved | -33% | 0% |
| case-14 | ✗→✓ | ▲ Improved | 106% | 0% |
Ask once for:
Defaults:
./artifacts/launchfast/campaigns/Kunze’s model favors:
Run:
textresearch_products(keyword="<main_keyword>", focus="balanced", product_limit=20)
Collect top 10-15 competitor ASINs plus market context.
Use:
textamazon_keyword_research(asins=[...], limit=50, min_search_volume=300)
For each keyword compute:
Then select:
Create:
Use deterministic CSV generation with Python csv.writer.
Use this exact Amazon Bulksheets 2.0 header and column order:
textProduct,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,Keyword Text,Match Type,Bidding Strategy,Placement,Percentage,Product Targeting Expression,Audience ID,Shopper Cohort Percentage,Shopper Cohort Type
Deterministic campaign layout:
Required defaults:
YYYYMMDDDynamic bids - down only[CATEGORY_ID]Write to:
./artifacts/launchfast/campaigns/[product-name]-kunze-[YYYY-MM-DD].csv
Return:
If a category ID is missing, leave a clear placeholder and call it out explicitly.
Other measured skills in the registry, with their headline benchmark lift.