ads-amazon
🤖 AI Summary
This skill audits Amazon Sponsored Ads (Sponsored Products, Brands, Display) and basic DSP visibility for sellers/vendors, analyzing Search Term, Campaign Performance, and Targeting reports to identify optimization opportunities.
How to Install
Claude Code:
git clone --depth 1 https://github.com/AgriciDaniel/claude-ads.git && cp claude-ads/skills/ads-amazon ~/.claude/skills/ads-amazon -r# Amazon Ads Deep Analysis
Amazon owns ~80% of US retail media (~$56B in 2025). This sub-skill audits
the three Sponsored ad types plus basic DSP visibility for sellers and
vendors. Detailed Amazon DSP audit (programmatic / Twitch / Fire TV / Freevee
/ Prime Video) is queued for Wave 3 in `ads-retail-media`.
> **Note:** This is a leaf sub-skill. The thresholds and rules below live
> inline. In Wave 3, once `ads-walmart` ships and the `ads-retail-media`
> orchestrator extracts the shared retail-media logic, a dedicated
> `retail-media-specs.md` reference file will replace these inline rules
> (planned, not yet created — do not link to it from other files).
## Process
1. Collect Amazon Advertising export: Search Term Report (last 60 days),
Campaign Performance Report, Targeting Report, Placement Report, Bulk
Operations file
2. Collect Brand Analytics if available (Brand-Registered sellers / vendors):
Search Terms, Repeat Purchase Behavior, Item Comparison
3. Verify Seller / Vendor Central context (vendor strategy differs from
seller strategy on portfolio, coupons, and Sponsored Brands video)
4. Read `ads/references/benchmarks.md` for Amazon-specific benchmarks
5. Read `ads/references/scoring-system.md` for weighted scoring
6. Evaluate checks per category
7. Calculate Amazon Ads Health Score (0-100)
8. Generate findings report with action plan
## What to Analyze
### Campaign Structure & Portfolios (15% weight)
- **Portfolio organization** — campaigns grouped by funnel stage (Awareness /
Consideration / Conversion) or by product line, not ad-hoc
- **Campaign naming convention** consistent (e.g.,
`SP_Brand_Exact_USD_Conv` / `SB_NonBrand_HSA_Video_USD_Cons`)
- **Auto vs Manual mix**: Sponsored Products has ≥1 Auto campaign per ASIN
cluster for search-term harvesting (auto-mining workflow)
- **ASIN-level coverage**: every priority ASIN appears in ≥1 SP campaign
(Exact, Phrase, or Broad) AND ≥1 Auto campaign
- **Targeting type mix in SP**: Manual Keyword + Manual Product (ASIN
targeting) + Auto (for harvesting). Pure Auto is a learning-only state
- **Sponsored Brands**: at least one HSA (Headline Search Ad) campaign per
brand storefront; SB Video tested for high-AOV products
- **Sponsored Display**: separate Audience (retargeting + lookalike) and
Contextual (product / category targeting) campaigns — don't mix in one
### Search-Term Harvesting & Negatives (25% weight)
- **Auto → Manual harvest cadence** weekly or bi-weekly: pull converting
search terms from Auto, promote winners to Manual Exact in their target
campaign, add as negatives to the Auto so spend redirects
- **Negative keyword coverage**: every Auto campaign has Manual campaign
ASINs as negatives (prevents Auto cannibalizing Manual placements)
- **Negative product targeting**: irrelevant ASINs added at campaign level
(prevents Sponsored Display contextual targeting from showing your ad
next to incompatible products)
- **Search Term Report harvested l
Details
| Category | Security → vulnerability |
| Source | AgriciDaniel/claude-ads |
| SKILL.md | View on GitHub → |
| Repo Stars | ★ 6.4K |
| Est. per Skill | N/A (shared across 22 skills from this repo) |
| Difficulty | Intermediate |
| Risk Level | N/A |
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