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ecommerce-landing-page

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Original

English
🇨🇳

Translation

Chinese

E-Commerce Landing Page 🖥️

电商落地页 🖥️

Audit and optimize e-commerce landing pages for conversion. CTA placement, trust signals, page structure, copy optimization, and A/B testing strategy for product pages, collection pages, and campaign landing pages.
Supported platforms: Amazon, Shopify, WooCommerce, Walmart, TikTok Shop, Etsy, eBay, BigCommerce.
Built by Nexscope — your AI assistant for smarter e-commerce decisions.
审核并优化电商落地页以提升转化率。涵盖产品页、合集页和营销活动落地页的CTA布局、信任信号、页面结构、文案优化以及A/B测试策略。
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-landing-page -g
bash
npx skills add nexscope-ai/eCommerce-Skills --skill ecommerce-landing-page -g

Usage

使用示例

Audit my Shopify landing page for our summer collection launch. Conversion rate is 0.8%. I'm driving traffic from Meta ads.
审核我的Shopify夏季系列发布落地页，当前转化率为0.8%，流量来自Meta广告。

Capabilities

功能特性

  • Landing page conversion audit (CTA, fold, trust signals, friction)
  • Hero section optimization (headline, subheadline, CTA, hero image)
  • Social proof placement strategy (reviews, testimonials, press mentions)
  • Mobile conversion optimization
  • Page speed impact analysis
  • Copy optimization framework (benefit-driven, objection-handling)
  • A/B testing plan with hypothesis prioritization
  • 落地页转化率审核（CTA、首屏内容、信任信号、转化阻碍）
  • 首屏区域优化（标题、副标题、CTA、首屏图片）
  • 社交证明布局策略（评价、客户证言、媒体报道）
  • 移动端转化率优化
  • 页面加载速度影响分析
  • 文案优化框架（利益导向、异议处理）
  • 含假设优先级排序的A/B测试方案

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： 以选择题形式提出一个包含所有剩余问题的跟进询问，允许简写回答（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： 输出结构化、可执行的内容，提供具体建议，而非模糊指导。

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
  • 基于不完整数据的预估内容标记⚠️
  • 以具体后续步骤结尾

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开发——助力您做出更明智电商决策的AI助手。