Amazon Brand Analytics
Mine Amazon's brand analytics data for market opportunities, competitor intelligence, and product selection signals. Turn search query data, purchase patterns, and demographic insights into strategic decisions.
Commands
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What Data to Provide
- - Brand Analytics report data — paste exported data from Brand Analytics dashboard
- Search Query Performance — top queries, click share, conversion share
- Repeat Purchase data — repurchase rates by ASIN
- Market Basket data — what customers also buy
- Competitor brand names — for competitive brand analysis
- Category context — which category to analyze
Brand Analytics Framework
Search Query Performance Analysis
Amazon Brand Analytics shows top search terms that lead to your brand's page views.
Key metrics:
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Click Share vs Conversion Share analysis:
- - Click Share > Conversion Share → listing or pricing issue (traffic not converting)
- Conversion Share > Click Share → strong listing, expand visibility
- Both low → ranking issue, invest in ads or SEO to appear more
Opportunity identification:
- - High volume terms where your brand has 0% click share → keyword target
- Terms where competitor has >30% click share → competitive threat
- Terms with high search volume but low competition → blue ocean
Market Opportunity Mining
Use search query data to find opportunities:
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Blue Ocean Criteria:
- - Top brand has <15% click share
- Search volume rank in top 500
- Your product can serve the need
- Estimated conversion opportunity exists
Repeat Purchase Rate Analysis
Brand loyalty signals by product type:
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Low repeat purchase rate causes:
- 1. Product quality disappointment
- Better alternative found (competitor won)
- Category not naturally repurchasable
- Customer service issue
- Pricing increased after first purchase
High repeat purchase signals:
- - Strong product-market fit
- Subscription candidate
- Invest in Subscribe & Save
Market Basket Intelligence
What customers buy with your product reveals:
- - Bundle opportunities — sell complementary products together
- Competitive threats — if customers buy your product WITH a competitor's, they may switch
- Category adjacency — expand product line to items customers already buy
Bundle strategy from market basket:
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Demographic Analysis
Amazon Brand Analytics shows buyer demographics (age, income, education, gender):
Using demographic data:
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Competitor Brand Intelligence
For a competitor brand, estimate using Brand Analytics signals:
Proxy metrics:
- - Search terms they dominate (high click share) = their strength
- Terms they don't appear on = their weakness / your opportunity
- Categories where they appear = their product range
- Review volume growth rate = their investment level
Brand Performance Trending
Track monthly to identify patterns:
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Whitespace Identification
Finding underserved market segments:
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Workspace
Creates ~/brand-analytics/ containing:
- -
search-queries/ — monthly search query performance snapshots - INLINECODE2 — identified market opportunities
- INLINECODE3 — competitor brand profiles
- INLINECODE4 — buyer profile reports
- INLINECODE5 — full brand intelligence reports
Output Format
Every brand analysis outputs:
- 1. Search Query Performance Summary — top 10 opportunity terms with click/conversion gap
- Market Opportunity Ranking — top 5 whitespace opportunities with scoring
- Competitive Threat Map — which brands are gaining in your key terms
- Customer Loyalty Metrics — repeat purchase rate vs. benchmark
- Bundle Opportunities — top 3 market-basket-driven bundle ideas
- Demographic Profile — buyer profile summary with marketing implications
- Monthly Action Plan — 5 prioritized brand growth actions
Amazon品牌分析
挖掘亚马逊品牌分析数据,寻找市场机会、竞争对手情报和选品信号。将搜索查询数据、购买模式和人口统计洞察转化为战略决策。
命令
brand analyze <品牌> # 全面品牌表现分析
brand opportunity <品类> # 识别品类中的市场机会
brand search-queries <数据> # 分析搜索查询表现报告
brand repeat-purchase <数据> # 分析客户忠诚度指标
brand market-basket # 发现客户同时购买的商品
brand demographics <数据> # 分析买家人口统计数据
brand compare <品牌1> <品牌2> # 品牌正面比较
brand trends <品类> # 识别热门品牌/产品
brand whitespace <市场> # 寻找未被服务的细分市场
brand report <品牌> # 全面品牌情报报告
需要提供的数据
- - 品牌分析报告数据 — 粘贴从品牌分析仪表板导出的数据
- 搜索查询表现 — 热门查询、点击份额、转化份额
- 重复购买数据 — 按ASIN统计的复购率
- 市场购物篮数据 — 客户还购买了什么
- 竞争对手品牌名称 — 用于竞争品牌分析
- 品类背景 — 需要分析的品类
品牌分析框架
搜索查询表现分析
亚马逊品牌分析显示导致品牌页面浏览量的热门搜索词。
关键指标:
指标 含义 基准
搜索查询量 品类中的热门搜索 每月跟踪变化
点击份额 你的点击量/总点击量 关键词目标>5%
转化份额 你的转化量/总转化量 应超过点击份额
点击份额与转化份额分析:
- - 点击份额 > 转化份额 → 列表或定价问题(流量未转化)
- 转化份额 > 点击份额 → 列表表现强劲,扩大曝光度
- 两者都低 → 排名问题,投入广告或SEO以增加曝光
机会识别:
- - 高搜索量但品牌点击份额为0%的词 → 关键词目标
- 竞争对手点击份额>30%的词 → 竞争威胁
- 高搜索量但低竞争的词 → 蓝海市场
市场机会挖掘
利用搜索查询数据寻找机会:
步骤1:寻找高搜索量的词(品类前1000名)
步骤2:检查哪些品牌主导每个词(点击份额)
步骤3:识别点击份额分散的词(任何品牌<10%)
步骤4:与你的产品满足该需求的能力交叉对比
步骤5:评分机会:搜索量 × (1 - 最大点击份额) = 机会评分
蓝海标准:
- - 头部品牌点击份额<15%
- 搜索量排名前500
- 你的产品能满足需求
- 存在预估转化机会
复购率分析
按产品类型划分的品牌忠诚度信号:
产品类型 预期复购率 你的目标
消耗品(30天): 30-50% >40%
消耗品(90天): 20-40% >30%
耐用品: 5-15% >10%
季节性商品: 15-25% >20%
复购率低的原因:
- 1. 产品质量令人失望
- 发现更好的替代品(竞争对手胜出)
- 品类本身不具备复购属性
- 客户服务问题
- 首次购买后价格上涨
复购率高的信号:
市场购物篮洞察
客户与你的产品一起购买的商品揭示:
- - 捆绑机会 — 一起销售互补产品
- 竞争威胁 — 如果客户购买你的产品时还购买了竞争对手的产品,他们可能会转换品牌
- 品类邻近性 — 将产品线扩展到客户已购买的商品
基于市场购物篮的捆绑策略:
如果你的商品经常与商品X一起购买:
→ 创建你的商品+商品X的捆绑包(比单独购买优惠15-20%)
→ 在后端搜索词中使用商品X的关键词
→ 针对商品X的买家投放Sponsored Products广告
人口统计分析
亚马逊品牌分析显示买家人口统计数据(年龄、收入、教育程度、性别):
利用人口统计数据:
如果买家偏向45-64岁女性、高收入:
→ 调整图片以展示理想化、注重品质的生活方式
→ 可采取高端定价定位
→ 文案中注重品质和可信度
→ Facebook/Pinterest广告可补充亚马逊广告
如果买家偏向25-34岁男性、中等收入:
→ 注重功能描述的文案和规格
→ 价值主张很重要
→ 整合Reddit和YouTube推广
竞争对手品牌情报
对于竞争对手品牌,利用品牌分析信号进行估算:
代理指标:
- - 他们主导的搜索词(高点击份额)= 他们的优势
- 他们未出现的搜索词 = 他们的弱点/你的机会
- 他们出现的品类 = 他们的产品范围
- 评论量增长率 = 他们的投入水平
品牌表现趋势
每月跟踪以识别模式:
月份 | 点击份额(主关键词)| 转化份额 | 新增热门关键词
1月 | 8.2% | 10.1% | [词A, 词B]
2月 | 9.1% | 11.3% | [词C]
3月 | 7.8% | 9.2% | [无]
4月 | 6.2% | 7.8% | [无]
趋势:下降 → 调查竞争对手增长或列表问题
空白市场识别
寻找服务不足的细分市场:
细分市场示例:老年犬有机狗零食
步骤1:搜索量有意义(预估>1,000/月)
步骤2:现有结果:通用狗零食未针对老年犬优化
步骤3:转化数据:宽泛词有转化但特定词服务不足
步骤4:产品可行性:可创建差异化产品
结果:空白市场机会
工作空间
创建 ~/brand-analytics/ 目录,包含:
- - search-queries/ — 月度搜索查询表现快照
- opportunities/ — 已识别的市场机会
- competitors/ — 竞争对手品牌档案
- demographics/ — 买家画像报告
- reports/ — 全面品牌情报报告
输出格式
每次品牌分析输出:
- 1. 搜索查询表现摘要 — 前10个机会词及其点击/转化差距
- 市场机会排名 — 前5个空白市场机会及评分
- 竞争威胁地图 — 哪些品牌在你的关键词上增长
- 客户忠诚度指标 — 复购率与基准对比
- 捆绑机会 — 前3个基于市场购物篮的捆绑创意
- 人口统计画像 — 买家画像摘要及营销启示
- 月度行动计划 — 5项优先品牌增长行动