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Amazon 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-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).
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
ads-retail-media
的第三阶段计划。
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
ads-walmart
上线且
ads-retail-media
编排器提取出通用零售媒体逻辑后,将用专门的
retail-media-specs.md
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)。

Process

流程

  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
  1. 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
  2. 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
  3. 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)
  4. 阅读
    ads/references/benchmarks.md
    获取亚马逊特定基准数据
  5. 阅读
    ads/references/scoring-system.md
    了解加权评分规则
  6. 按类别评估各项检查内容
  7. 计算亚马逊广告健康评分(0-100分)
  8. 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:
    Up and Down
    for Manual Exact converting campaigns;
    Down Only
    for Auto campaigns or Sponsored Display contextual (avoid bid escalation in learning campaigns)
  • 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
    Up and Down
    (上下调整);自动活动或Sponsored Display上下文定向使用
    Down Only
    (仅向下调整)(避免学习阶段活动出现出价攀升)
  • 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

MetricPassWarningFail
ACOS (vs target)Within ±10% of target10-25% over>25% over
TACOS trend (90d)DecreasingFlatIncreasing
Auto / Manual mixBoth active per ASINOnly Manual or only AutoSingle campaign / ASIN
Negative keywords on AutoManual ASIN keywords addedSome missingNone
Search term harvest cadenceWeeklyMonthlyAd-hoc
Branded campaign ACOS<5%5-15%>15%
Dynamic bidding strategyUp-and-Down on converters, Down-Only on learnersMixed inconsistentlyAll campaigns same strategy
Sponsored Brands video testedActive on top 10 ASINsActive on 1-3 ASINsNot tested
Brand Analytics accessedWeeklyMonthlyNever
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

  • AMAZON-ADS-REPORT.md
    : Full per-category findings
  • 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)
  • AMAZON-ADS-REPORT.md
    :全品类详细评估结果
  • 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)