amazon-brand-analytics

Compare original and translation side by side

🇺🇸

Original

English

🇨🇳

Translation

Chinese

Amazon Brand Analytics 📋

亚马逊品牌分析 📋

Interpret and act on Amazon Brand Analytics data. Analyze Search Frequency Rank (SFR), click share, conversion share, market basket analysis, and repeat purchase behavior to optimize your Amazon strategy.

Supported platforms: Amazon, Shopify, WooCommerce, Walmart, TikTok Shop, Etsy, eBay, BigCommerce.

Built by Nexscope — your AI assistant for smarter e-commerce decisions.

解读亚马逊品牌分析数据并采取行动，分析搜索频率排名（SFR）、点击份额、转化份额、购物篮分析以及复购行为，从而优化你的亚马逊运营策略。

支持的平台： Amazon, Shopify, WooCommerce, Walmart, TikTok Shop, Etsy, eBay, BigCommerce.

由 Nexscope 打造——你的AI助手，助力做出更明智的电商决策。

Install

安装

bash

npx skills add nexscope-ai/eCommerce-Skills --skill amazon-brand-analytics -g

bash

npx skills add nexscope-ai/eCommerce-Skills --skill amazon-brand-analytics -g

Usage

使用方法

Help me analyze my Amazon Brand Analytics data. My top search term has SFR #5,200 with 15% click share but only 8% conversion share. What should I do?

帮我分析我的亚马逊品牌分析数据。我的顶级搜索词SFR排名是5200，点击份额为15%，但转化份额仅为8%，我应该怎么做？

Capabilities

功能

Search Frequency Rank (SFR) trend interpretation
Click share and conversion share analysis
Market basket analysis (frequently bought together insights)
Repeat purchase behavior patterns
Demographics data interpretation
Search term performance optimization recommendations

搜索频率排名（SFR）趋势解读
点击份额与转化份额分析
购物篮分析（常被一同购买的商品洞察）
复购行为模式分析
人口统计数据解读
搜索词表现优化建议

How This Skill Works

该Skill的工作原理

Step 1: Collect information from the user's message — product, platform, current situation, and goals.

Step 2: Ask one follow-up with all remaining questions using multiple-choice format. Allow shorthand answers (e.g., "1b 2c 3a").

Step 3: Research and analyze using the frameworks and methodology below.

Step 4: Deliver structured, actionable output with specific recommendations, not vague advice.

步骤1： 从用户消息中收集信息——产品、平台、当前情况以及目标。

步骤2： 以多选题的形式一次性提出所有剩余的跟进问题，允许简写回答（例如："1b 2c 3a"）。

步骤3： 使用下方的框架和方法论进行调研与分析。

步骤4： 输出结构化、可落地的结果，附带具体建议，而非模糊的指导。

Output Format

输出格式

Start with a summary of findings
Include specific data points and benchmarks where available
Provide prioritized action items
Mark estimates with ⚠️ when based on incomplete data
End with concrete next steps

以发现总结开头
包含可用的具体数据点和基准值
提供优先级排序的行动项
基于不完整数据得出的估算值用⚠️标记
以具体的下一步行动结尾

Other Skills

其他Skill

More e-commerce skills: nexscope-ai/eCommerce-Skills

Amazon-specific skills: nexscope-ai/Amazon-Skills

Built by Nexscope — your AI assistant for smarter e-commerce decisions.

更多电商Skill：nexscope-ai/eCommerce-Skills

亚马逊专属Skill：nexscope-ai/Amazon-Skills

由 Nexscope 打造——你的AI助手，助力做出更明智的电商决策。