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Amazon Brand Analytics

面向 Amazon 卖家的品牌分析解读 Skill:依据用户提供的 SFR、点击份额、转化份额、购物篮与复购数据,先收集产品、平台、现状与目标,再追加一次多选式提问,随后按内置框架输出发现摘要、关键数据与基准、按优先级排序的行动项和下一步建议。Skill 本身不采集数据,数据由用户提供。

nexscope
nexscope
热度 37.72
最近更新 2026-05-11 17:35:54
分类:营销依赖:内部调用大模型应用场景:市场分析 / 报告撰写 / 推荐

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add amazon-brand-analytics-skill
Metadata
name
amazon-brand-analytics
description
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.
metadata
{"nexscope":{"emoji":"📋","category":"amazon"}}

Amazon Brand Analytics 📋

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.

Install

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

Usage

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?

Capabilities

  • 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

How This Skill Works

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.

Output Format

  • 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

Other Skills

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.