Codex-native Amazon PPC setup workflow using Wilco's exact-match and analytics-first strategy. Use when the user wants stricter keyword control, exact-match campaigns, and a LaunchFast-driven bulk-sheet export.
Ask once for:
Defaults:
./artifacts/launchfast/campaigns/Wilco’s model favors:
Run:
research_products(keyword="<main_keyword>", focus="balanced", product_limit=20)
Capture top 10-12 ASINs and market context.
Use:
amazon_keyword_research(asins=[...], limit=50, min_search_volume=300)
Rank keywords with a weighted score based on:
Prioritize keywords where multiple competitors already rank well.
Select:
Create:
Use Python csv.writer and write to:
Use this exact Amazon Bulksheets 2.0 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,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./artifacts/launchfast/campaigns/[product-name]-wilco-[YYYY-MM-DD].csv
Include: