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ecommerce-personalization

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🇺🇸

Original

English
🇨🇳

Translation

Chinese

E-Commerce Personalization 🎯

电商个性化策略 🎯

Design personalization strategies for e-commerce stores. Product recommendations, dynamic content, customer segmentation, and personalized email/SMS based on browsing and purchase behavior.
Supported platforms: Amazon, Shopify, WooCommerce, Walmart, TikTok Shop, Etsy, eBay, BigCommerce.
Built by Nexscope — your AI assistant for smarter e-commerce decisions.
为电商店铺设计个性化策略。基于浏览和购买行为提供产品推荐、动态内容、客户细分以及个性化邮件/短信服务。
支持平台： Amazon、Shopify、WooCommerce、Walmart、TikTok Shop、Etsy、eBay、BigCommerce。
由Nexscope开发——助力您做出更明智电商决策的AI助手。

Install

安装

bash
npx skills add nexscope-ai/eCommerce-Skills --skill ecommerce-personalization -g
bash
npx skills add nexscope-ai/eCommerce-Skills --skill ecommerce-personalization -g

Usage

使用示例

I run a Shopify store with 5,000 customers. How do I set up personalization? I want to show different products to different customer segments.
我运营一家拥有5000名客户的Shopify店铺。该如何设置个性化策略？我希望向不同客户群体展示不同产品。

Capabilities

功能特性

  • Customer segmentation framework (RFM, behavioral, demographic)
  • Product recommendation engine strategy (collaborative, content-based, hybrid)
  • Dynamic content personalization for homepage, PDP, and checkout
  • Personalized email/SMS strategy by customer segment
  • A/B testing framework for personalization
  • Privacy-compliant data collection strategy
  • Tool and app recommendations by platform (Shopify, WooCommerce)
  • 客户细分框架（RFM、行为特征、人口统计特征）
  • 产品推荐引擎策略（协同过滤、基于内容、混合模式）
  • 首页、产品详情页（PDP）及结账页面的动态内容个性化
  • 按客户群体定制的个性化邮件/短信策略
  • 个性化策略的A/B测试框架
  • 合规的数据收集策略
  • 针对不同平台（Shopify、WooCommerce）的工具及应用推荐

How This Skill Works

该Skill的工作流程

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、当前状况及目标。
步骤2： 通过选择题形式提出所有剩余问题作为跟进提问，支持简写回答（例如："1b 2c 3a"）。
步骤3： 使用以下框架和方法进行调研分析。
步骤4： 提供结构化、可执行的输出内容，包含具体建议，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
  • 以调研结果总结开头
  • 尽可能包含具体数据点和基准指标
  • 提供优先级排序的行动项
  • 基于不完整数据得出的估算结果需标记⚠️
  • 以明确的后续步骤结尾

Other Skills

其他相关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开发——助力您做出更明智电商决策的AI助手。