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ChineseAmazon Ads Deep Analysis
亚马逊广告(Amazon Ads)深度分析
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-mediaNote: This is a leaf sub-skill. The thresholds and rules below live inline. In Wave 3, onceships and theads-walmartorchestrator extracts the shared retail-media logic, a dedicatedads-retail-mediareference file will replace these inline rules (planned, not yet created — do not link to it from other files).retail-media-specs.md
亚马逊占据美国零售媒体约80%的市场份额(2025年预计约560亿美元)。本子技能针对卖家和供应商,审核三种赞助广告类型以及基础DSP可见性。详细的Amazon DSP审核(程序化/Twitch/Fire TV/Freevee/Prime Video)已列入的第三阶段计划。
ads-retail-media注意: 这是一个终端子技能。以下阈值和规则为内嵌内容。在第三阶段,当上线且ads-walmart编排器提取出通用零售媒体逻辑后,将用专门的ads-retail-media参考文件替换这些内嵌规则(此为计划内容,尚未创建——请勿从其他文件链接至该文件)。retail-media-specs.md
Process
流程
- Collect Amazon Advertising export: Search Term Report (last 60 days), Campaign Performance Report, Targeting Report, Placement Report, Bulk Operations file
- Collect Brand Analytics if available (Brand-Registered sellers / vendors): Search Terms, Repeat Purchase Behavior, Item Comparison
- Verify Seller / Vendor Central context (vendor strategy differs from seller strategy on portfolio, coupons, and Sponsored Brands video)
- Read for Amazon-specific benchmarks
ads/references/benchmarks.md - Read for weighted scoring
ads/references/scoring-system.md - Evaluate checks per category
- Calculate Amazon Ads Health Score (0-100)
- Generate findings report with action plan
- 收集亚马逊广告导出数据:搜索词报告(过去60天)、广告活动绩效报告、定向报告、展示位置报告、批量操作文件
- 若有则收集Brand Analytics数据(仅限品牌备案卖家/供应商):搜索词、重复购买行为、商品对比
- 确认卖家/供应商中心背景(供应商与卖家在产品组合、优惠券、Sponsored Brands视频策略上存在差异)
- 阅读获取亚马逊特定基准数据
ads/references/benchmarks.md - 阅读了解加权评分规则
ads/references/scoring-system.md - 按类别评估各项检查内容
- 计算亚马逊广告健康评分(0-100分)
- 生成包含行动计划的评估报告
What to Analyze
分析内容
Campaign Structure & Portfolios (15% weight)
广告活动结构与产品组合(权重15%)
- 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
- 产品组合组织:广告活动按漏斗阶段(认知/考虑/转化)或产品线分组,而非随机划分
- 广告活动命名规范保持一致(例如:/
SP_Brand_Exact_USD_Conv)SB_NonBrand_HSA_Video_USD_Cons - 自动与手动广告组合:每个ASIN集群的Sponsored Products至少包含1个自动广告活动用于搜索词挖掘(自动挖掘流程)
- ASIN覆盖范围:每个核心ASIN至少出现在1个SP广告活动(精确匹配、短语匹配或广泛匹配)以及1个自动广告活动中
- SP定向类型组合:手动关键词+手动商品(ASIN定向)+自动广告(用于挖掘)。纯自动广告仅属于学习阶段状态
- Sponsored Brands:每个品牌店铺至少有1个HSA(头条搜索广告)活动;针对高客单价产品测试SB Video
- Sponsored Display:将受众(重定向+相似受众)和上下文(商品/品类定向)活动分开设置——请勿在同一活动中混合使用
Search-Term Harvesting & Negatives (25% weight)
搜索词挖掘与否定关键词(权重25%)
- 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 last 7 days — any high-spend, zero- conversion terms above $10 / 30 days should be negatives
- Brand defense: branded search terms are isolated in a separate campaign with exact-match brand keywords and competitor-name negatives
- Top-of-search visibility — branded search auction CPC vs default; flag if competitor bid is above your brand-defense bid
- 自动→手动广告的搜索词提取频率为每周或每两周:从自动广告中提取有转化的搜索词,将优质词提升至对应手动精确匹配广告活动,并添加为自动广告的否定关键词,从而重新分配预算
- 否定关键词覆盖:每个自动广告活动都已添加手动广告活动的ASIN作为否定关键词(防止自动广告抢占手动广告的展示位置)
- 否定商品定向:在活动层级添加不相关ASIN(防止Sponsored Display上下文定向将广告展示在不相容商品旁)
- 搜索词报告提取频率为过去7天——任何花费高、无转化且30天花费超过10美元的关键词应设为否定关键词
- 品牌防御:品牌搜索词单独放在一个活动中,使用精确匹配品牌关键词,并添加竞品品牌名称作为否定关键词
- 搜索顶部可见性:对比品牌搜索竞价的CPC与默认出价;若竞品出价高于你的品牌防御出价则标记出来
ACOS / TACOS Discipline (20% weight)
ACOS/TACOS规范(权重20%)
- ACOS targets set per portfolio based on contribution margin (target ACOS = (1 - contribution_margin) × buffer). Sloppy "30% across the board" ACOS targets cap performance
- TACOS (Total ACOS) trending down quarter-over-quarter — TACOS measures total ad spend / total revenue including organic; downward trend means paid is lifting organic, not replacing it
- ROAS reported alongside ACOS for the team that thinks in ROAS
- Coupon + Lightning Deal stacking — when on, ACOS targets relaxed to capture lift; auto-flag campaigns that need temporary ACOS uplift
- Day-parting: bid adjustments by hour for ASINs where add-to-cart hours differ from purchase hours (frequent for high-AOV electronics)
- 按产品组合设置ACOS目标:基于边际贡献率设定(目标ACOS = (1 - 边际贡献率) × 缓冲值)。笼统的“统一30%”ACOS目标会限制绩效
- TACOS(总ACOS)呈季度下降趋势——TACOS衡量总广告花费/包含自然流量在内的总营收;下降趋势意味着付费流量正在带动自然流量,而非替代自然流量
- 同时报告ROAS与ACOS,以满足习惯用ROAS思考的团队需求
- 优惠券+限时秒杀叠加:开启时放宽ACOS目标以获取流量提升;自动标记需要临时上调ACOS的活动
- 分时投放:针对加购时段与购买时段不同的ASIN按小时调整出价(高客单价电子产品常见此情况)
Bid & Budget Management (15% weight)
出价与预算管理(权重15%)
- Dynamic bidding strategy: for Manual Exact converting campaigns;
Up and Downfor Auto campaigns or Sponsored Display contextual (avoid bid escalation in learning campaigns)Down Only - Placement bid multipliers: Top-of-search placement adjusted based on ROAS by placement (Placement Report); often +50-100% for top-of-search, -30% for product page placements
- Budget caps appropriate — no campaigns capped at <2x current daily spend (caps strangle algorithm learning)
- Bulk bid adjustments — bid optimization runs weekly via Bulk Operations not ad-hoc in the UI
- 动态出价策略:有转化的手动精确匹配活动使用(上下调整);自动活动或Sponsored Display上下文定向使用
Up and Down(仅向下调整)(避免学习阶段活动出现出价攀升)Down Only - 展示位置出价乘数:根据展示位置的ROAS调整搜索顶部位置的出价(参考展示位置报告);通常搜索顶部出价提升50-100%,商品页面出价降低30%
- 预算上限设置合理——没有活动的预算上限低于当前日均花费的2倍(过低上限会限制算法学习)
- 批量出价调整——每周通过批量操作进行出价优化,而非在UI中随机调整
Sponsored Brands (10% weight)
Sponsored Brands(权重10%)
- HSA (Headline Search Ad): brand logo + 3-product showcase + landing page (Store, custom URL, or product list)
- SB Video: 6-45s; 15-30s sweet spot. Hook within 2s. Captions on. Required for high-AOV products
- Brand Store linked as landing destination where available (higher CVR than product detail page)
- Negative keywords on SB include competitor brand names if you don't want top-of-funnel competitor traffic; remove if you do
- HSA(头条搜索广告):包含品牌logo+3个商品展示+落地页(品牌店铺、自定义URL或商品列表)
- SB Video:时长6-45秒,15-30秒为最佳时长。前2秒需抓住用户注意力,添加字幕。高客单价产品必须使用
- 关联品牌店铺作为落地页(转化率高于商品详情页)
- SB的否定关键词:若不想获取漏斗顶部的竞品流量,可添加竞品品牌名称;若需要则移除
Sponsored Display (10% weight)
Sponsored Display(权重10%)
- Audience targeting: Views Remarketing, Purchase Remarketing, Cross- Sell, and Lookalike audiences each scaled with appropriate bids
- Contextual targeting: relevant categories AND specific ASIN targeting (your own complementary products + competitor ASINs you can win)
- Display creative quality: at minimum, the default product creative; custom creative tested for top SKUs
- Off-Amazon Sponsored Display (Twitch, IMDb, third-party sites) audited separately — different CPC dynamics, different attribution windows
- 受众定向:分别为浏览重定向、购买重定向、交叉销售和相似受众设置合适出价并放量
- 上下文定向:定向相关品类以及特定ASIN(自有互补商品+可竞争的竞品ASIN)
- 展示创意质量:至少使用默认商品创意;针对核心SKU测试自定义创意
- 站外Sponsored Display(Twitch、IMDb、第三方网站)单独审核——CPC机制和归因窗口均不同
Brand Analytics & Reporting (5% weight)
Brand Analytics与报告(权重5%)
- Brand Analytics accessed (Brand-Registered only): Top Search Terms, Item Comparison, Repeat Purchase Behavior
- Top Search Terms report used to identify share-of-voice gaps vs competitors on category keywords
- Repeat Purchase Behavior informs subscription / replenishment ad strategy
- Amazon Attribution (off-Amazon traffic) tracked if running external ads driving to Amazon listings
- 已访问Brand Analytics(仅限品牌备案用户):热门搜索词、商品对比、重复购买行为
- 使用热门搜索词报告识别品类关键词上与竞品的声量差距
- 重复购买行为数据用于制定订阅/补货广告策略
- 若投放站外广告引流至亚马逊Listing,则需追踪Amazon Attribution(站外流量归因)
Key Thresholds
关键阈值
| Metric | Pass | Warning | Fail |
|---|---|---|---|
| ACOS (vs target) | Within ±10% of target | 10-25% over | >25% over |
| TACOS trend (90d) | Decreasing | Flat | Increasing |
| Auto / Manual mix | Both active per ASIN | Only Manual or only Auto | Single campaign / ASIN |
| Negative keywords on Auto | Manual ASIN keywords added | Some missing | None |
| Search term harvest cadence | Weekly | Monthly | Ad-hoc |
| Branded campaign ACOS | <5% | 5-15% | >15% |
| Dynamic bidding strategy | Up-and-Down on converters, Down-Only on learners | Mixed inconsistently | All campaigns same strategy |
| Sponsored Brands video tested | Active on top 10 ASINs | Active on 1-3 ASINs | Not tested |
| Brand Analytics accessed | Weekly | Monthly | Never |
| 指标 | 通过 | 警告 | 失败 |
|---|---|---|---|
| ACOS(对比目标) | 与目标值偏差±10%以内 | 超出目标10-25% | 超出目标25%以上 |
| TACOS趋势(90天) | 下降 | 持平 | 上升 |
| 自动/手动广告组合 | 每个ASIN同时启用两种广告 | 仅启用手动或仅启用自动 | 单个活动/ASIN |
| 自动广告的否定关键词 | 已添加手动ASIN关键词 | 部分缺失 | 完全未添加 |
| 搜索词提取频率 | 每周 | 每月 | 随机进行 |
| 品牌活动ACOS | <5% | 5-15% | >15% |
| 动态出价策略 | 有转化活动用上下调整,学习阶段活动用仅向下调整 | 策略混合不一致 | 所有活动使用相同策略 |
| 已测试Sponsored Brands视频 | 核心10个ASIN均已启用 | 1-3个ASIN已启用 | 未测试 |
| Brand Analytics访问频率 | 每周 | 每月 | 从未访问 |
Output
输出
Amazon Ads Health Score
亚马逊广告健康评分
Amazon Ads Health Score: XX/100 (Grade: X)
Campaign Structure: XX/100 ████████░░ (15%)
Search-Term Harvesting: XX/100 ██████████ (25%)
ACOS / TACOS Discipline:XX/100 █████████░ (20%)
Bid & Budget Mgmt: XX/100 ████████░░ (15%)
Sponsored Brands: XX/100 ███████░░░ (10%)
Sponsored Display: XX/100 ███████░░░ (10%)
Brand Analytics: XX/100 █████░░░░░ (5%)Amazon Ads Health Score: XX/100 (Grade: X)
Campaign Structure: XX/100 ████████░░ (15%)
Search-Term Harvesting: XX/100 ██████████ (25%)
ACOS / TACOS Discipline:XX/100 █████████░ (20%)
Bid & Budget Mgmt: XX/100 ████████░░ (15%)
Sponsored Brands: XX/100 ███████░░░ (10%)
Sponsored Display: XX/100 ███████░░░ (10%)
Brand Analytics: XX/100 █████░░░░░ (5%)Deliverables
交付物
- : Full per-category findings
AMAZON-ADS-REPORT.md - Search-term harvest plan: keywords to promote to Manual + keywords to add as negatives, ranked by spend recovery $
- ACOS-by-ASIN matrix highlighting unprofitable SKUs
- Sponsored Brands video opportunity list (top 10 ASINs without SB Video)
- Pre-launch checklist when entering a new product category
- Amazon DSP entry recommendation (yes / no based on total monthly spend and audience size)
- :全品类详细评估结果
AMAZON-ADS-REPORT.md - 搜索词挖掘计划:需提升至手动广告的关键词+需添加为否定关键词的关键词,按预算回收金额排序
- ASIN级ACOS矩阵,突出无利润SKU
- Sponsored Brands视频机会列表(未使用SB Video的核心10个ASIN)
- 进入新品类的预启动检查清单
- Amazon DSP入门建议(根据月总花费和受众规模判断是否适合)