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amazon-ppc-analyzer亚马逊 ppc 分析器

Agent Skill

amazon-ppc-analyzer 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

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周安装

236

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下载量

1,907
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:amazon-ppc-analyzer(亚马逊 ppc 分析器)
来源仓库:https://github.com/mguozhen/amazon-ppc-analyzer
安装命令:
openclaw skills install amazon-ppc-analyzer
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install amazon-ppc-analyzer

简介

审核商品推广活动,识别无效支出与高转化搜索词。

  • 提供出价调整建议与预算重分配方案。amazon-ppc-analyzer 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 支持多广告组对比与 ROI 分析图表。
  • 安装命令:openclaw skills install amazon-ppc-analyzer。
  • 依赖准确广告数据接口,需定期检查权限有效性。

SKILL.md

name
amazon-ppc-analyzer
description
Amazon PPC specialist agent. Audits Sponsored Products campaigns, finds wasted spend, surfaces high-converting search terms, suggests bid adjustments, and builds negative keyword lists — all from your bulk report data or verbal description. Triggers: amazon ppc, ppc audit, sponsored products, ppc analyzer, bid optimization, search term report, wasted spend, negative keywords, acos, roas, ppc strategy, amazon advertising, amazon ads, ppc campaign, keyword harvesting, ppc review, ad spend analysis, amazon ppc optimization
allowed-tools
Bash
metadata
openclaw
homepage
https://github.com/mguozhen/amazon-ppc-analyzer

Amazon PPC Analyzer

AI-powered Amazon PPC audit agent — turns your campaign data into actionable optimizations.

Paste your bulk report, describe your campaigns verbally, or ask specific questions. The agent audits structure, finds waste, surfaces winners, and tells you exactly what to do next.

Commands

ppc audit                          # full campaign audit (paste data or describe)
ppc wasted spend                   # find keywords draining budget with no conversions
ppc bid suggestions                # get bid adjustment recommendations
ppc search terms                   # harvest converting search terms for exact match
ppc negatives                      # build negative keyword list from irrelevant terms
ppc structure check                # evaluate campaign/ad group architecture
ppc budget allocation              # identify over/under-funded campaigns
ppc weekly report                  # generate weekly performance summary
ppc save <campaign-name>           # save campaign profile to memory
ppc history                        # show saved campaigns and past audits

What Data to Provide

The agent works with:

  • Bulk report CSV — paste rows directly into chat (Search Term Report, Campaign Performance Report, Keyword Report)
  • Verbal description — "I have 3 SP campaigns, $150/day budget, 45% ACoS, mainly broad match"
  • Screenshots — paste Seller Central campaign manager data
  • Metrics only — "keyword X spent $200, 0 orders, 12 clicks"

No API keys needed. No setup required.

Workspace

Creates ~/amazon-ppc/ containing:

  • memory.md — saved campaign profiles and account history
  • reports/ — past audit reports (markdown)
  • data/ — raw data snapshots for trend tracking

Analysis Framework

1. Campaign Structure Audit

  • SP / SB / SD separation
  • Match type distribution (broad/phrase/exact ratio)
  • Ad group granularity (1 product per ad group vs. lumped)
  • Auto vs. manual campaign relationship

2. Wasted Spend Detection

  • Keywords with spend > $X and 0 orders (X = your break-even CPC threshold)
  • Irrelevant search terms triggering ads (auto campaign bleed)
  • Duplicate keywords across campaigns causing internal competition

3. Bid Optimization

  • Keywords with ACoS > target → bid down formula: New Bid = (Current Bid × Target ACoS) / Current ACoS
  • Keywords with ACoS < target and low impressions → bid up to capture more volume
  • Keywords converting well but losing impressions → identify bid floor vs. auction pressure
  • ROAS equivalent: Target ROAS = 1 / Target ACoS (e.g. 25% ACoS = 4x ROAS target); same bid formula applies

4. Search Term Harvesting

  • Converting search terms in auto/broad → promote to exact match manual campaigns (minimum 2 clicks + 1 order before harvesting to avoid single-click noise)
  • High-impression, zero-click search terms → add as phrase negatives
  • Competitor ASINs appearing as search terms → ASIN targeting opportunities

5. Negative Keyword Mining

  • Irrelevant terms from auto campaign search term report
  • Shared negatives across campaign portfolio
  • Campaign-level vs. ad group-level negative placement logic

6. Budget & Dayparting Analysis

  • Campaigns hitting budget cap before end of day → lost impression share
  • Budget reallocation from low-ROAS to high-ROAS campaigns
  • Day/hour performance patterns (if data available)

Benchmarks Used

MetricAggressiveBalancedConservative
ACoS target15–20%25–30%35–40%
CTR (good)>0.5%0.3–0.5%<0.3%
CVR (good)>10%5–10%<5%
Impression share>60%40–60%<40%

Weekly Report Format

ppc weekly report generates a consistent 7-day performance summary:

  1. Spend vs. Last Week — total spend delta and budget utilization %
  2. ACoS Trend — overall ACoS this week vs. last week, direction arrow
  3. Top 5 Performing Keywords — ranked by orders, with ACoS each
  4. Top 5 Wasted Spend Keywords — spend with 0 orders, sorted by $ wasted
  5. Search Term Wins — new converting search terms worth harvesting
  6. Actions Taken / Pending — changes made and outstanding items
  7. Next Week Focus — 2–3 priority optimizations for the coming week

Saves to ~/amazon-ppc/reports/weekly-YYYY-MM-DD.md automatically.

Output Format

Every audit outputs:

  1. Executive Summary — 3-bullet account health snapshot
  2. Quick Wins — actions you can take in the next 30 minutes
  3. Structural Issues — longer-term fixes
  4. Data Table — keywords sorted by priority (waste / opportunity)
  5. Next Audit Checklist — what to check again in 7 days

Rules

  1. Always ask for target ACoS or profit margin before making bid recommendations
  2. Never recommend pausing or making aggressive bid cuts on keywords with fewer than 10 clicks — insufficient data
  3. Flag when data sample is too small for reliable conclusions
  4. Distinguish between launch phase (high ACoS acceptable) vs. optimization phase
  5. Show math behind every bid recommendation
  6. Save audit findings to ~/amazon-ppc/reports/ when asked

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

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按下载量换算1,623

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安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

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