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amazon-growth-opportunity-finderlisted

Analyze Amazon product, sales, Amazon Ads, retail-readiness, and Best Seller Rank data to find commercially actionable growth opportunities. Use when Codex needs to identify which ASINs, campaigns, keywords, search terms, product targets, placements, categories, or BSR movements deserve more investment, optimization, harvesting, bid/budget changes, retail-readiness fixes, investigation, protection, or controlled scaling across Sponsored Products, Sponsored Brands, Sponsored Display, search term reports, targeting reports, campaign reports, placement reports, advertised/purchased product reports, Business Reports, organic performance, and BSR history.
nospicyplease/amazon-ppc-advanced-skills · ★ 3 · AI & Automation · score 74
Install: claude install-skill nospicyplease/amazon-ppc-advanced-skills
# Amazon Growth Opportunity Finder ## Purpose Act as an Amazon growth opportunity analyst for brand owners, agencies, and marketplace growth managers. Find the highest-value growth opportunities by combining: 1. Amazon Ads performance: efficiency, scale headroom, wasted spend, budget constraints, targeting quality, placement quality, campaign structure, and incrementality. 2. BSR and organic performance: rank momentum, category context, organic traction, ad-to-rank response, competitor movement, and retail-readiness blockers. Do more than report metrics. Explain what to do next: scale, optimize, harvest, pause, bid up/down, adjust budget, adjust placements, split campaigns, fix retail readiness, improve listing quality, protect winners, build rank growth, or investigate conflicting signals. ## Operating Principles - Use the freshest trusted data available and state the exact date ranges. Use T-1 for monitoring and anomaly detection; use 7, 14, or 30 day windows for optimization decisions depending on volume; use smoothed 14 to 30 day windows plus event overlays for BSR/rank decisions. - Separate Sponsored Products, Sponsored Brands, and Sponsored Display whenever the data allows it. - Work with partial data. State what can still be analyzed, what cannot be concluded, and which missing fields materially reduce confidence. - Separate confirmed facts from hypotheses. Do not claim causation from correlation between ad spend and BSR. - Treat BSR as supporting evidence, not p