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Amazon PPC

作者 LeroyCreates · GitHub ↗ · v1.1.0 · MIT-0
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在 OpenClaw 中安装
/install amazon-ppc
功能描述
Build Amazon Sponsored Products and Sponsored Brands campaign structures, keyword match strategies, and bid logic for profitable paid visibility.
使用说明 (SKILL.md)

Amazon PPC

Amazon advertising is a pay-to-play channel where campaign structure determines whether you scale profitably or bleed budget on irrelevant clicks. Amazon PPC helps you design Sponsored Products, Sponsored Brands, and Sponsored Display campaign architectures from scratch — or restructure messy existing accounts — with clear keyword match type strategies, bid logic, negative keyword funnels, and budget allocation rules tied to your actual margin and ACoS targets.


Quick Reference

Decision Strong Acceptable Weak
Campaign goal for new product Launch (maximize data) Scale if similar product exists Profit mode on day 1
Starting ACoS target Below gross margin by 5-10% Equal to gross margin Above gross margin
Match type for seed keywords Exact + Phrase in separate campaigns Broad with negatives Auto only
Budget allocation (launch) 60% research, 40% performance 50/50 split 100% exact match
Negative keyword timing Add day 1 (obvious irrelevants) Add after 7 days of data Never (bleeding budget)
Bid adjustment for top-of-search +20-50% if ACoS allows +10-20% to test No adjustment
Search term graduation trigger 5+ orders at target ACoS 3+ orders Never harvest

Solves

This skill addresses these specific problems:

  1. Wasted launch budget — New sellers run auto-only campaigns for weeks, spending on irrelevant queries with no structure to capture what's working.
  2. ACoS above margin — Campaigns running without a profit ceiling, making every sale a net loss after advertising costs.
  3. Cannibalization between campaigns — Multiple campaigns bidding on the same keyword, competing against each other and inflating effective CPC.
  4. No negative keyword system — Search terms that never convert keep eating budget with no mechanism to stop them.
  5. Stalled scaling — Performance plateaus because winning search terms never graduate from broad/auto discovery into exact match optimization.
  6. Blind bidding — Bids set by guesswork rather than derived from margin math and conversion rate assumptions.
  7. Campaign structure debt — Accounts that grew organically into dozens of disorganized campaigns with no tier logic, making optimization nearly impossible.

Workflow

Step 1 — Establish your profitability ceiling

Before building any campaign, calculate the maximum allowable ACoS:

Max ACoS = Gross Margin %
Target ACoS = Gross Margin % - 5 to 10%
Max CPC = (Average Selling Price × Target ACoS) × Estimated Conversion Rate

Example: $30 product, 40% margin, 10% CVR → Max CPC = $30 × 0.35 × 0.10 = $1.05

This number governs every bid decision. Never let campaigns run without a ceiling derived from real unit economics.

Step 2 — Build the campaign tier structure

Create four campaign tiers with explicit purposes:

Tier 1 — Research (Auto + Broad): Discovers new search terms. High impression volume, lower bids. Daily review of search term reports to identify converting queries.

Tier 2 — Performance (Phrase + Exact): Captures confirmed winners from Tier 1. Higher bids justified by known conversion data. Tightly controlled with exact negatives.

Tier 3 — Brand Defense: Protects branded terms from competitor conquest. Exact match only. Usually small budget but non-negotiable for established products.

Tier 4 — Competitor Targeting: ASIN targeting and keyword conquest of competitor product pages. Experimental budget, tracked separately.

Step 3 — Set match type distribution

For each seed keyword:

  • Create one Exact match campaign in Tier 2 with your calculated max CPC as the starting bid
  • Create one Phrase match campaign in Tier 2 with bid at 70-80% of exact bid
  • Add the exact keyword as a negative in Tier 1 to prevent overlap

For auto campaigns: Set a low flat bid (30-50% of exact bid) and use category/product targeting for complementary ASIN discovery.

Step 4 — Build the negative keyword waterfall

Day 1 negatives (add before launching):

  • Competitor brand names (unless running conquest)
  • Irrelevant category terms (e.g., for a kitchen spatula: "spatula fish", "medical spatula")
  • Terms with zero commercial intent ("free", "how to", "DIY")

Ongoing waterfall rules:

  • Any search term with 30+ clicks and 0 conversions → add as exact negative in all campaigns
  • Any search term with ACoS > 2× target → add as negative, investigate if converting at high cost
  • Any search term with 5+ conversions at target ACoS → graduate to dedicated exact match campaign

Step 5 — Set budget allocation and pacing

During launch (first 30 days), weight budget toward research:

  • Tier 1 (Research): 50-60% of daily budget
  • Tier 2 (Performance): 30-40%
  • Tier 3 (Brand Defense): 5-10%
  • Tier 4 (Competitor): Optional, 10% max if budget allows

Increase Tier 2 weight as confirmed exact-match winners accumulate. By day 60, most budget should shift to performance campaigns.

Step 6 — Configure placement multipliers

Platform placement data shows top-of-search typically converts 2-3× better than rest-of-search for most categories. Adjust accordingly:

  • Top-of-search premium: Start at +20%, increase to +50% if ACoS remains below target
  • Product pages: Neutral until ASIN targeting data accumulates
  • Rest-of-search: No premium by default

Step 7 — Build the 30-day optimization calendar

  • Day 7: First search term harvest. Pull auto search term report, identify converting terms, move to phrase/exact campaigns. Add obvious negative keywords.
  • Day 14: Bid adjustment review. Any exact campaign with 50+ clicks and ACoS \x3C target → increase bid 10-15%. Any campaign with ACoS > 2× target → decrease bids 20%.
  • Day 21: Budget rebalancing. Shift budget from underperforming auto campaigns to exact campaigns with proven conversions.
  • Day 30: Full structure review. Build permanent exact-match campaigns for top 10 converting terms. Pause or restructure anything still unprofitable.

Worked Examples

Example 1 — New Private Label Product Launch

Inputs:

  • Product: Silicone Kitchen Spatula Set, ASIN B09XYZ123
  • ASP: $24.99
  • Gross margin: 42%
  • Target ACoS: 32%
  • Seed keywords: "silicone spatula set", "kitchen spatula set", "cooking spatula", "heat resistant spatula", "non-stick spatula"
  • Goal: Launch

Campaign structure output:

Campaign Name Type Match Daily Budget Starting Bid
SP_Discovery_Auto_Spatula Sponsored Products Auto $12 $0.45
SP_Research_Broad_Spatula Sponsored Products Broad $8 $0.55
SP_Perf_Exact_SiliconeSpatulaSet Sponsored Products Exact $6 $0.80
SP_Perf_Exact_KitchenSpatulaSet Sponsored Products Exact $6 $0.75
SP_Perf_Phrase_SpatulaTerms Sponsored Products Phrase $8 $0.60

Max CPC calculation: $24.99 × 0.32 × 0.12 (estimated CVR) = $0.96

Day-1 negatives added: "silicone spatula craft", "spatula school", "free spatula"

30-day outcome: Auto campaign discovered "flexible spatula for eggs" and "BPA-free cooking spatula" as converting terms → both moved to dedicated exact match campaigns by Day 21.


Example 2 — Restructuring a Messy Existing Account

Inputs:

  • Product: Yoga Mat, ASP $38, Margin 38%, Current ACoS 61% (far above target)
  • Existing structure: 1 auto campaign, 3 overlapping broad campaigns with no negatives
  • Goal: Cut ACoS to 30% without killing sales volume

Diagnosis:

  • Pull 90-day search term report → 847 unique search terms
  • Filter: terms with > $1 spend and 0 conversions → 214 terms to negative immediately
  • Filter: terms with ACoS \x3C 25% and 3+ conversions → 12 terms to protect in dedicated exact campaigns

Restructure plan:

  1. Pause all 3 existing broad campaigns
  2. Create 1 new broad campaign with 214 negatives pre-loaded
  3. Create 12 new exact match campaigns (one per proven term)
  4. Set exact match bids at $0.90 (calculated from margin math)
  5. Cap new broad campaign at $15/day, exact campaigns at $25/day total

Expected result: ACoS reduction from 61% to target range within 14-21 days as budget shifts to proven exact terms.


Common Mistakes

  1. Launching with only auto campaigns — Auto gives Amazon maximum control and often routes budget to irrelevant terms. Always pair with at least one manual exact campaign.

  2. Setting ACoS targets without checking margin — A 30% ACoS target on a product with 25% margin is a guaranteed loss. Always derive target ACoS from unit economics first.

  3. Never adding negative keywords — Even excellent products will have irrelevant search volume. Not adding negatives is an ongoing tax on every campaign dollar.

  4. Bidding the same amount in auto and exact campaigns — Auto campaigns should bid lower because they're discovery vehicles. Matching bids means overpaying for unknown traffic.

  5. Graduating search terms too early — Moving a term to exact match after 1-2 orders can mislead. Statistical confidence requires 5+ conversions before bid optimization is meaningful.

  6. Ignoring placement multipliers — Top-of-search typically converts better, but the default setting applies no premium. Failing to test placement adjustments leaves performance on the table.

  7. Running all campaigns on the same daily budget — Discovery campaigns need room to find new terms. Underfunding auto campaigns starves the system of new search term data.

  8. Never pausing underperformers — Campaigns with 60+ days of data and no conversions at 3× target ACoS are not going to improve. Pause, investigate, restructure.

  9. Confusing branded and non-branded ACoS — Branded terms convert higher and need lower bids. Mixing them into non-branded campaigns inflates overall ACoS and obscures true performance.

  10. No campaign naming convention — Without consistent naming, you can't filter or sort campaigns at scale. Always include: campaign type, match type, keyword theme, and product identifier.


Resources

  • references/output-template.md — Structured campaign plan output format
  • references/keyword-match-type-guide.md — When to use each match type with examples
  • references/bid-calculation-formulas.md — Margin-based bid math reference
  • assets/ppc-quality-checklist.md — Pre-launch and optimization quality checklist
安全使用建议
This skill is essentially a manual playbook and templates for Amazon PPC — it does not contain code, installers, or requests for credentials, so installing it carries minimal technical risk. Before use: (1) confirm the skill author/source if you need to trust business advice; (2) treat the formulas as starting assumptions — validate conversion rate and margin inputs with your real data; (3) do not provide your Amazon Advertising credentials to any tool unless you intend to automate changes — for automation, grant the minimal API scope and re-evaluate the skill for credential handling; (4) monitor performance on a small test budget before broad application; and (5) if a future version adds an install step, network calls, or asks for secrets, re-run this security review.
功能分析
Type: OpenClaw Skill Name: amazon-ppc Version: 1.1.0 The Amazon PPC skill bundle consists entirely of instructional markdown files and templates designed to guide an AI agent in creating advertising strategies. There is no executable code, no network activity, and no evidence of data exfiltration or malicious prompt injection. The content is strictly aligned with its stated purpose of providing Amazon PPC campaign structures and bid logic.
能力评估
Purpose & Capability
Name/description match the provided assets: campaign planning, bidding formulas, negative keyword workflows, templates and checklists. The skill does not request unrelated credentials or binaries and all included files are campaign guidance and templates appropriate for the described purpose.
Instruction Scope
SKILL.md and the supporting docs contain step-by-step recommendations, formulas, calendars, and templates for manual application. The instructions explicitly state they do not connect to the Amazon Advertising API and do not direct the agent to read local system files, request secrets, or send data to external endpoints.
Install Mechanism
No install spec and no code files — instruction-only content. Nothing will be downloaded or written to disk by an installer, so installation risk is minimal.
Credentials
The skill declares no required environment variables, no primary credential, and no config paths. That is proportional to a planning/template skill which is intended for manual application.
Persistence & Privilege
always is false (default) and there are no instructions to persist configuration, modify other skills, or access system-level settings. The skill is user-invocable and can be called by an agent, which is normal for skills, but it has no elevated privileges.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install amazon-ppc
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /amazon-ppc 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.1.0
v1.1.0: Expanded skill package with 5 files — added bid calculation formulas reference, keyword match type guide, output template, and PPC quality checklist. Improved structure and completeness.
v1.0.0
Initial release.
元数据
Slug amazon-ppc
版本 1.1.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 2
常见问题

Amazon PPC 是什么?

Build Amazon Sponsored Products and Sponsored Brands campaign structures, keyword match strategies, and bid logic for profitable paid visibility. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 161 次。

如何安装 Amazon PPC?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install amazon-ppc」即可一键安装,无需额外配置。

Amazon PPC 是免费的吗?

是的,Amazon PPC 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Amazon PPC 支持哪些平台?

Amazon PPC 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Amazon PPC?

由 LeroyCreates(@leooooooow)开发并维护,当前版本 v1.1.0。

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