google-shopping-optimization

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Original

English
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Translation

Chinese

Google Shopping Optimization 🛒

Google Shopping优化 🛒

Optimize Google Shopping campaigns and product feeds for maximum visibility and ROAS. Feed optimization, bidding strategy, campaign structure, and Performance Max integration.
Supported platforms: Amazon, Shopify, WooCommerce, Walmart, TikTok Shop, Etsy, eBay, BigCommerce.
Built by Nexscope — your AI assistant for smarter e-commerce decisions.
优化Google Shopping广告系列和商品源,以实现最大曝光量和ROAS。涵盖商品源优化、出价策略、广告系列结构以及Performance Max整合。
支持的平台: Amazon、Shopify、WooCommerce、Walmart、TikTok Shop、Etsy、eBay、BigCommerce。
Nexscope打造——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 google-shopping-optimization -g
bash
npx skills add nexscope-ai/eCommerce-Skills --skill google-shopping-optimization -g

Usage

使用示例

Optimize my Google Shopping feed. I have 200 products on Shopify. Current ROAS is 3x, I want to hit 5x. Monthly budget: $5,000.
优化我的Google Shopping商品源。我在Shopify上有200件商品,当前ROAS为3倍,目标是达到5倍。月度预算:5000美元。

Capabilities

功能

  • Product feed optimization (titles, descriptions, images, attributes)
  • Google Merchant Center compliance and error resolution
  • Campaign structure (Standard Shopping vs Performance Max)
  • Bidding strategy selection and optimization
  • Product segmentation and priority campaign structure
  • ROAS optimization by product group
  • Negative keyword management for Shopping campaigns
  • 商品源优化(标题、描述、图片、属性)
  • Google Merchant Center合规性与错误解决
  • 广告系列结构(标准Shopping广告 vs Performance Max)
  • 出价策略选择与优化
  • 商品细分与优先级广告系列结构
  • 按商品组优化ROAS
  • Shopping广告系列的否定关键词管理

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——商品、平台、当前状况和目标。
步骤2: 通过选择题形式提出所有剩余问题的跟进询问,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研究分析。
步骤4: 提供结构化、可执行的输出,包含具体建议,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
  • 以研究结果摘要开头
  • 尽可能包含具体数据点和基准
  • 提供优先级行动项
  • 基于不完整数据的估算标记⚠️
  • 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
Nexscope打造——助力您做出更明智电商决策的AI助手。