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kuudoai/kuudo-skills

22 Agent Skills for Amazon sellers and advertisers: Sponsored Products and Brands audits, search-term mining, budget pacing, DSP and Amazon Marketing Cloud, reporting, listing optimization and compliance, product images, repricing, FBA inbound, stockout, refunds, buyer messaging, and profitability. Built for Kuudo's hosted Amazon Ads and Selling Partner MCP servers; price, budget, listing, and shipment writes are previewed and wait for explicit approval.

68

1.65x
Quality

93%

Does it follow best practices?

Impact

66%

1.65x

Average score across 22 eval scenarios

SecuritybySnyk

Medium

Suggest reviewing before use

Overview
Quality
Evals
Security
Files

benchmarks-and-interpretation.mdskills/amazon-ads-sb-performance-review/references/

Benchmarks and interpretation (SB)

These are orientation ranges, not pass/fail rules. Always label them as benchmarks and let the user override with account targets.

CTR

  • Common narrative range cited for SB: ~0.30%–0.80% CTR (percentage of impressions). Your export may express CTR as a decimal or percent — normalize before comparing.
  • Low CTR flag (default storytelling): below 0.20% (as % of impressions) may warrant creative or targeting review if impressions are material (avoid flagging sparse rows).

ACoS / ROAS

  • Interpret relative to the user’s target ACoS or target ROAS and margin. Without targets, compare to portfolio median and best peers in the same file.

New-to-brand (NTB)

  • SB reports sometimes include NTB orders, NTB sales, or NTB percentages. If present:
    • Report NTB order share and NTB sales share with the same attribution definitions as total orders/sales.
    • Explain that high NTB can contextualize higher ACoS for acquisition-heavy goals; it does not remove the need for a ceiling tied to economics.

Impression share

  • If the report includes impression share or lost impression share fields, use them for delivery constraint narrative (budget vs bids vs relevance). Map column names from the actual file — names vary.

Recommendations — pattern library

Use only when supported by the table:

  • High spend + high ACoS + low NTB: tighten targeting, refresh creative, reduce bids or pause worst segments.
  • High CTR + low CVR (if conversion columns exist): landing page / Store, offer, or query relevance — label as hypothesis.
  • Strong efficiency + capped delivery (impression share metrics if present): consider budget or bid headroom tests.

Always state what column supported each conclusion.

skills

LICENSE.md

README.md

tile.json