360 Secure SkillHub
360 安全技能中心

Amazon Brand Analytics

此工具专注亚马逊品牌数据分析,可解析搜索频率排名、点击/转化份额、购物篮关联、复购行为等维度数据,输出结构化分析结论与优先级优化建议。典型场景为电商卖家针对自身品牌数据(如特定搜索词的SFR、点击转化表现)寻求策略优化。输入为用户提供的相关数据及问题,输出包含发现总结、行动项及具体下一步,支持多电商平台,助力卖家优化运营策略。

nexscope
nexscope
热度 37.58
最近更新 2026-05-11 17:35:54
分类:营销依赖:纯提示词应用场景:市场分析 / 数据处理 / 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.