google-meta-ads-ga4-mcp

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Google Ads + Meta Ads + GA4 MCP Server

Google Ads + Meta Ads + GA4 MCP Server

Skill by ara.so — MCP Skills collection.
ara.so提供的Skill——MCP Skills合集。

Overview

概述

The Google Ads + Meta Ads + GA4 MCP server is a unified Model Context Protocol server that provides 250+ tools for managing advertising campaigns and analytics across Google Ads, Meta (Facebook/Instagram) Ads, and Google Analytics 4. It enables AI assistants like Claude, ChatGPT, Cursor, and n8n to perform full read-write operations on these platforms.
Key capabilities:
  • 150+ Google Ads tools — Campaign CRUD, keyword research, bidding, ad creation, audiences, extensions, experiments
  • 80+ Meta Ads tools — Campaign/ad set/creative management, audience targeting, lead gen, product catalogs
  • 20+ GA4 tools — Reporting, audience analysis, property config, attribution, key events
  • Cross-platform analytics — Unified ROAS, performance comparison, budget allocation
This is a remote MCP server (hosted), not a local installation. You connect via URL endpoint.
Google Ads + Meta Ads + GA4 MCP服务器是一个统一的Model Context Protocol服务器,提供250+工具用于跨Google Ads、Meta(Facebook/Instagram)Ads和Google Analytics 4管理广告营销活动与分析。它支持Claude、ChatGPT、Cursor和n8n等AI助手对这些平台执行完整的读写操作。
核心功能:
  • 150+ Google Ads工具——营销活动增删改查(CRUD)、关键词研究、出价管理、广告创建、受众管理、广告附加信息、实验管理
  • 80+ Meta Ads工具——营销活动/广告组/创意管理、受众定向、线索生成、产品目录管理
  • 20+ GA4工具——报告生成、受众分析、属性配置、归因分析、关键事件追踪
  • 跨平台分析——统一ROAS(广告支出回报率)、表现对比、预算分配
这是一个远程MCP服务器(托管式),而非本地安装版本。您通过URL端点进行连接。

Installation & Setup

安装与设置

Claude Desktop

Claude Desktop

  1. Locate your Claude config file:
    • macOS:
      ~/Library/Application Support/Claude/claude_desktop_config.json
    • Windows:
      %APPDATA%\Claude\claude_desktop_config.json
  2. Add the server configuration:
json
{
  "mcpServers": {
    "google-meta-ads-ga4": {
      "url": "YOUR_MCP_ENDPOINT_URL"
    }
  }
}
  1. Restart Claude Desktop
  2. Look for the MCP connection indicator (🔌) in the bottom-right corner
  1. 找到您的Claude配置文件:
    • macOS
      ~/Library/Application Support/Claude/claude_desktop_config.json
    • Windows
      %APPDATA%\Claude\claude_desktop_config.json
  2. 添加服务器配置:
json
{
  "mcpServers": {
    "google-meta-ads-ga4": {
      "url": "YOUR_MCP_ENDPOINT_URL"
    }
  }
}
  1. 重启Claude Desktop
  2. 查看右下角的MCP连接指示器(🔌)

ChatGPT

ChatGPT

  1. Navigate to SettingsConnectorsAdd custom connector
  2. Enter:
    • Name:
      Google Meta Ads GA4
    • URL:
      YOUR_MCP_ENDPOINT_URL
  3. Click Save
  4. The connector will appear in your available tools
  1. 导航至设置连接器添加自定义连接器
  2. 输入:
    • 名称
      Google Meta Ads GA4
    • URL
      YOUR_MCP_ENDPOINT_URL
  3. 点击保存
  4. 该连接器将出现在您的可用工具列表中

Cursor

Cursor

  1. Open
    ~/.cursor/mcp.json
  2. Add:
json
{
  "mcpServers": {
    "google-meta-ads-ga4": {
      "url": "YOUR_MCP_ENDPOINT_URL"
    }
  }
}
  1. Restart Cursor
  1. 打开
    ~/.cursor/mcp.json
  2. 添加:
json
{
  "mcpServers": {
    "google-meta-ads-ga4": {
      "url": "YOUR_MCP_ENDPOINT_URL"
    }
  }
}
  1. 重启Cursor

Windsurf

Windsurf

  1. Open
    ~/.codeium/windsurf/mcp_config.json
  2. Add the same configuration as Cursor
  3. Restart Windsurf
  1. 打开
    ~/.codeium/windsurf/mcp_config.json
  2. 添加与Cursor相同的配置
  3. 重启Windsurf

Claude Code (CLI)

Claude Code(CLI)

bash
claude mcp add google-meta-ads-ga4 --transport sse YOUR_MCP_ENDPOINT_URL
bash
claude mcp add google-meta-ads-ga4 --transport sse YOUR_MCP_ENDPOINT_URL

n8n

n8n

  1. Add an MCP Client node to your workflow
  2. Configure:
    • Server URL:
      YOUR_MCP_ENDPOINT_URL
    • Transport: SSE (Server-Sent Events)
    • Authentication: Bearer token (recommended)
Import the pre-built workflow template to get started.
  1. 在您的工作流中添加MCP Client节点
  2. 配置:
    • 服务器URL
      YOUR_MCP_ENDPOINT_URL
    • 传输方式:SSE(Server-Sent Events)
    • 认证:Bearer令牌(推荐)
导入预构建工作流模板快速开始。

Codex CLI

Codex CLI

Add to
~/.codex/config.toml
:
toml
[mcp.google-meta-ads-ga4]
url = "YOUR_MCP_ENDPOINT_URL"
transport = "sse"
添加至
~/.codex/config.toml
toml
[mcp.google-meta-ads-ga4]
url = "YOUR_MCP_ENDPOINT_URL"
transport = "sse"

Authentication & Credentials

认证与凭据

This server uses OAuth 2.1 with PKCE for secure authentication. The authentication flow is handled by the hosted MCP server — you don't manage API keys locally.
First-time setup:
  1. When you first use a tool, you'll be prompted to authenticate
  2. Follow the OAuth flow for the specific platform (Google Ads, Meta, or GA4)
  3. Grant the required permissions
  4. Credentials are securely stored on the server side
Environment variables (if self-hosting):
  • GOOGLE_ADS_DEVELOPER_TOKEN
    — Google Ads API developer token
  • GOOGLE_ADS_CLIENT_ID
    — OAuth client ID
  • GOOGLE_ADS_CLIENT_SECRET
    — OAuth client secret
  • META_APP_ID
    — Meta app ID
  • META_APP_SECRET
    — Meta app secret
  • GA4_PROPERTY_ID
    — GA4 property ID
本服务器使用OAuth 2.1 with PKCE进行安全认证。认证流程由托管的MCP服务器处理——您无需在本地管理API密钥。
首次设置:
  1. 首次使用工具时,系统会提示您进行认证
  2. 遵循对应平台(Google Ads、Meta或GA4)的OAuth流程
  3. 授予所需权限
  4. 凭据将安全存储在服务器端
环境变量(若自行托管):
  • GOOGLE_ADS_DEVELOPER_TOKEN
    — Google Ads API开发者令牌
  • GOOGLE_ADS_CLIENT_ID
    — OAuth客户端ID
  • GOOGLE_ADS_CLIENT_SECRET
    — OAuth客户端密钥
  • META_APP_ID
    — Meta应用ID
  • META_APP_SECRET
    — Meta应用密钥
  • GA4_PROPERTY_ID
    — GA4属性ID

Google Ads Tools

Google Ads工具

List All Campaigns

列出所有营销活动

javascript
// Tool: list_campaigns
// Lists all campaigns with performance metrics

const campaigns = await mcp.call_tool("list_campaigns", {
  customer_id: "1234567890",
  include_metrics: true,
  date_range: "LAST_30_DAYS"
});

// Response includes: campaign name, status, budget, impressions, clicks, cost, conversions, ROAS
javascript
// Tool: list_campaigns
// 列出带有绩效指标的所有营销活动

const campaigns = await mcp.call_tool("list_campaigns", {
  customer_id: "1234567890",
  include_metrics: true,
  date_range: "LAST_30_DAYS"
});

// 返回内容包括:营销活动名称、状态、预算、展示量、点击量、花费、转化量、ROAS

Create a Search Campaign

创建搜索营销活动

javascript
// Tool: create_search_campaign
// Creates a new Google Search campaign

const campaign = await mcp.call_tool("create_search_campaign", {
  customer_id: "1234567890",
  campaign_name: "Q2 2026 CRM Software Campaign",
  budget_amount_micros: 50000000, // $50 daily budget (in micros)
  target_cpa_micros: 25000000, // $25 target CPA
  networks: ["SEARCH", "SEARCH_PARTNERS"],
  locations: ["US"], // Country codes
  languages: ["en"],
  start_date: "2026-04-01",
  end_date: "2026-06-30"
});

// Returns: campaign resource name and ID
javascript
// Tool: create_search_campaign
// 创建新的Google搜索营销活动

const campaign = await mcp.call_tool("create_search_campaign", {
  customer_id: "1234567890",
  campaign_name: "Q2 2026 CRM Software Campaign",
  budget_amount_micros: 50000000, // 每日预算50美元(微单位)
  target_cpa_micros: 25000000, // 目标CPA为25美元
  networks: ["SEARCH", "SEARCH_PARTNERS"],
  locations: ["US"], // 国家代码
  languages: ["en"],
  start_date: "2026-04-01",
  end_date: "2026-06-30"
});

// 返回:营销活动资源名称和ID

Add Keywords to Ad Group

向广告组添加关键词

javascript
// Tool: add_keywords
// Adds keywords with match types and bids

const keywords = await mcp.call_tool("add_keywords", {
  customer_id: "1234567890",
  ad_group_id: "987654321",
  keywords: [
    {
      text: "best crm software",
      match_type: "EXACT",
      cpc_bid_micros: 5000000 // $5 max CPC
    },
    {
      text: "crm for small business",
      match_type: "PHRASE",
      cpc_bid_micros: 3000000
    },
    {
      text: "customer relationship management",
      match_type: "BROAD",
      cpc_bid_micros: 2000000
    }
  ]
});
javascript
// Tool: add_keywords
// 添加带匹配类型和出价的关键词

const keywords = await mcp.call_tool("add_keywords", {
  customer_id: "1234567890",
  ad_group_id: "987654321",
  keywords: [
    {
      text: "best crm software",
      match_type: "EXACT",
      cpc_bid_micros: 5000000 // 最高CPC为5美元
    },
    {
      text: "crm for small business",
      match_type: "PHRASE",
      cpc_bid_micros: 3000000
    },
    {
      text: "customer relationship management",
      match_type: "BROAD",
      cpc_bid_micros: 2000000
    }
  ]
});

Keyword Research with Keyword Planner

使用关键词规划师进行关键词研究

javascript
// Tool: generate_keyword_ideas
// Gets keyword suggestions with volume and CPC data

const ideas = await mcp.call_tool("generate_keyword_ideas", {
  customer_id: "1234567890",
  seed_keywords: ["project management software", "task tracking tool"],
  location_ids: ["2840"], // United States
  language_id: "1000", // English
  include_adult_keywords: false
});

// Returns: keyword text, avg monthly searches, competition, low/high CPC bid
javascript
// Tool: generate_keyword_ideas
// 获取带搜索量和CPC数据的关键词建议

const ideas = await mcp.call_tool("generate_keyword_ideas", {
  customer_id: "1234567890",
  seed_keywords: ["project management software", "task tracking tool"],
  location_ids: ["2840"], // 美国
  language_id: "1000", // 英语
  include_adult_keywords: false
});

// 返回:关键词文本、平均月搜索量、竞争程度、最低/最高CPC出价

Create Responsive Search Ad

创建响应式搜索广告

javascript
// Tool: create_responsive_search_ad
// Creates an RSA with multiple headlines and descriptions

const ad = await mcp.call_tool("create_responsive_search_ad", {
  customer_id: "1234567890",
  ad_group_id: "987654321",
  headlines: [
    "Best CRM Software 2026",
    "Try Our CRM Free Today",
    "Top-Rated CRM Platform",
    "Manage Customers Easily",
    "CRM Built for Growth"
  ],
  descriptions: [
    "Free 14-day trial. No credit card required. Get started in minutes.",
    "Loved by 10,000+ businesses. Intuitive interface, powerful features."
  ],
  final_urls: ["https://example.com/crm"],
  path1: "crm",
  path2: "free-trial"
});
javascript
// Tool: create_responsive_search_ad
// 创建带有多个标题和描述的RSA

const ad = await mcp.call_tool("create_responsive_search_ad", {
  customer_id: "1234567890",
  ad_group_id: "987654321",
  headlines: [
    "Best CRM Software 2026",
    "Try Our CRM Free Today",
    "Top-Rated CRM Platform",
    "Manage Customers Easily",
    "CRM Built for Growth"
  ],
  descriptions: [
    "Free 14-day trial. No credit card required. Get started in minutes.",
    "Loved by 10,000+ businesses. Intuitive interface, powerful features."
  ],
  final_urls: ["https://example.com/crm"],
  path1: "crm",
  path2: "free-trial"
});

Get Campaign Performance Report

获取营销活动绩效报告

javascript
// Tool: get_campaign_performance
// Retrieves detailed campaign metrics

const performance = await mcp.call_tool("get_campaign_performance", {
  customer_id: "1234567890",
  campaign_id: "111222333",
  date_range: "LAST_7_DAYS",
  metrics: [
    "impressions",
    "clicks",
    "ctr",
    "cost_micros",
    "conversions",
    "conversion_value",
    "cost_per_conversion",
    "roas"
  ],
  segment_by: "date" // Daily breakdown
});
javascript
// Tool: get_campaign_performance
// 获取详细的营销活动指标

const performance = await mcp.call_tool("get_campaign_performance", {
  customer_id: "1234567890",
  campaign_id: "111222333",
  date_range: "LAST_7_DAYS",
  metrics: [
    "impressions",
    "clicks",
    "ctr",
    "cost_micros",
    "conversions",
    "conversion_value",
    "cost_per_conversion",
    "roas"
  ],
  segment_by: "date" // 按日细分
});

Manage Negative Keywords

管理否定关键词

javascript
// Tool: add_negative_keywords
// Adds negative keywords to prevent unwanted clicks

const negatives = await mcp.call_tool("add_negative_keywords", {
  customer_id: "1234567890",
  campaign_id: "111222333",
  keywords: [
    { text: "free", match_type: "BROAD" },
    { text: "cheap", match_type: "BROAD" },
    { text: "download", match_type: "PHRASE" }
  ]
});
javascript
// Tool: add_negative_keywords
// 添加否定关键词以避免不必要的点击

const negatives = await mcp.call_tool("add_negative_keywords", {
  customer_id: "1234567890",
  campaign_id: "111222333",
  keywords: [
    { text: "free", match_type: "BROAD" },
    { text: "cheap", match_type: "BROAD" },
    { text: "download", match_type: "PHRASE" }
  ]
});

Create Ad Extensions

创建广告附加信息

javascript
// Tool: create_sitelinks
// Adds sitelink extensions to campaigns

const sitelinks = await mcp.call_tool("create_sitelinks", {
  customer_id: "1234567890",
  campaign_id: "111222333",
  sitelinks: [
    {
      link_text: "Pricing",
      final_urls: ["https://example.com/pricing"],
      description1: "Flexible plans",
      description2: "Start from $29/mo"
    },
    {
      link_text: "Features",
      final_urls: ["https://example.com/features"],
      description1: "All-in-one CRM",
      description2: "Sales, marketing, support"
    }
  ]
});
javascript
// Tool: create_sitelinks
// 向营销活动添加站点链接附加信息

const sitelinks = await mcp.call_tool("create_sitelinks", {
  customer_id: "1234567890",
  campaign_id: "111222333",
  sitelinks: [
    {
      link_text: "Pricing",
      final_urls: ["https://example.com/pricing"],
      description1: "Flexible plans",
      description2: "Start from $29/mo"
    },
    {
      link_text: "Features",
      final_urls: ["https://example.com/features"],
      description1: "All-in-one CRM",
      description2: "Sales, marketing, support"
    }
  ]
});

Meta Ads Tools

Meta Ads工具

List All Campaigns

列出所有营销活动

javascript
// Tool: meta_list_campaigns
// Lists all Meta ad campaigns

const campaigns = await mcp.call_tool("meta_list_campaigns", {
  account_id: "act_1234567890",
  fields: ["name", "status", "objective", "daily_budget", "lifetime_budget"],
  include_insights: true,
  date_preset: "last_30d"
});
javascript
// Tool: meta_list_campaigns
// 列出所有Meta广告营销活动

const campaigns = await mcp.call_tool("meta_list_campaigns", {
  account_id: "act_1234567890",
  fields: ["name", "status", "objective", "daily_budget", "lifetime_budget"],
  include_insights: true,
  date_preset: "last_30d"
});

Create a Campaign

创建营销活动

javascript
// Tool: meta_create_campaign
// Creates a new Meta Ads campaign

const campaign = await mcp.call_tool("meta_create_campaign", {
  account_id: "act_1234567890",
  name: "Q2 Lead Generation Campaign",
  objective: "OUTCOME_LEADS", // OUTCOME_AWARENESS, OUTCOME_ENGAGEMENT, OUTCOME_TRAFFIC, OUTCOME_SALES
  status: "PAUSED", // Create paused, enable later
  special_ad_categories: [] // Or ["CREDIT", "EMPLOYMENT", "HOUSING"]
});
javascript
// Tool: meta_create_campaign
// 创建新的Meta Ads营销活动

const campaign = await mcp.call_tool("meta_create_campaign", {
  account_id: "act_1234567890",
  name: "Q2 Lead Generation Campaign",
  objective: "OUTCOME_LEADS", // OUTCOME_AWARENESS、OUTCOME_ENGAGEMENT、OUTCOME_TRAFFIC、OUTCOME_SALES
  status: "PAUSED", // 创建时暂停,之后启用
  special_ad_categories: [] // 或["CREDIT", "EMPLOYMENT", "HOUSING"]
});

Create Ad Set with Targeting

创建带定向的广告组

javascript
// Tool: meta_create_ad_set
// Creates an ad set with budget, schedule, and targeting

const adSet = await mcp.call_tool("meta_create_ad_set", {
  account_id: "act_1234567890",
  campaign_id: "23850000000000000",
  name: "US Adults 25-45 Desktop",
  optimization_goal: "LEAD_GENERATION",
  billing_event: "IMPRESSIONS",
  bid_amount: 500, // $5.00 in cents
  daily_budget: 5000, // $50.00
  start_time: "2026-04-01T00:00:00+0000",
  end_time: "2026-06-30T23:59:59+0000",
  targeting: {
    geo_locations: {
      countries: ["US"]
    },
    age_min: 25,
    age_max: 45,
    genders: [0], // 0 = all, 1 = male, 2 = female
    publisher_platforms: ["facebook", "instagram"],
    facebook_positions: ["feed", "right_hand_column"],
    device_platforms: ["desktop"]
  }
});
javascript
// Tool: meta_create_ad_set
// 创建带预算、日程和定向的广告组

const adSet = await mcp.call_tool("meta_create_ad_set", {
  account_id: "act_1234567890",
  campaign_id: "23850000000000000",
  name: "US Adults 25-45 Desktop",
  optimization_goal: "LEAD_GENERATION",
  billing_event: "IMPRESSIONS",
  bid_amount: 500, // 5.00美元(美分单位)
  daily_budget: 5000, // 50.00美元
  start_time: "2026-04-01T00:00:00+0000",
  end_time: "2026-06-30T23:59:59+0000",
  targeting: {
    geo_locations: {
      countries: ["US"]
    },
    age_min: 25,
    age_max: 45,
    genders: [0], // 0=全部,1=男性,2=女性
    publisher_platforms: ["facebook", "instagram"],
    facebook_positions: ["feed", "right_hand_column"],
    device_platforms: ["desktop"]
  }
});

Create Lead Form

创建线索表单

javascript
// Tool: meta_create_lead_form
// Creates a native lead generation form

const leadForm = await mcp.call_tool("meta_create_lead_form", {
  page_id: "1234567890",
  name: "CRM Demo Request Form",
  follow_up_action_url: "https://example.com/thank-you",
  privacy_policy_url: "https://example.com/privacy",
  questions: [
    { type: "FULL_NAME" },
    { type: "EMAIL" },
    { type: "PHONE_NUMBER" },
    {
      type: "CUSTOM",
      key: "company_size",
      label: "Company Size",
      type: "MULTIPLE_CHOICE",
      options: ["1-10", "11-50", "51-200", "200+"]
    }
  ],
  context_card: {
    title: "Get a Free Demo",
    content: "See how our CRM can help your business grow.",
    button_text: "Get Started"
  }
});
javascript
// Tool: meta_create_lead_form
// 创建原生线索生成表单

const leadForm = await mcp.call_tool("meta_create_lead_form", {
  page_id: "1234567890",
  name: "CRM Demo Request Form",
  follow_up_action_url: "https://example.com/thank-you",
  privacy_policy_url: "https://example.com/privacy",
  questions: [
    { type: "FULL_NAME" },
    { type: "EMAIL" },
    { type: "PHONE_NUMBER" },
    {
      type: "CUSTOM",
      key: "company_size",
      label: "Company Size",
      type: "MULTIPLE_CHOICE",
      options: ["1-10", "11-50", "51-200", "200+"]
    }
  ],
  context_card: {
    title: "Get a Free Demo",
    content: "See how our CRM can help your business grow.",
    button_text: "Get Started"
  }
});

Upload Image Creative

上传图片创意

javascript
// Tool: meta_upload_image
// Uploads an image for use in ads

const image = await mcp.call_tool("meta_upload_image", {
  account_id: "act_1234567890",
  file_url: "https://example.com/ad-image.jpg",
  // OR
  // file_path: "/path/to/local/image.jpg"
});

// Returns: image hash to use in ad creatives
javascript
// Tool: meta_upload_image
// 上传用于广告的图片

const image = await mcp.call_tool("meta_upload_image", {
  account_id: "act_1234567890",
  file_url: "https://example.com/ad-image.jpg",
  // 或
  // file_path: "/path/to/local/image.jpg"
});

// 返回:用于广告创意的图片哈希值

Create Ad Creative

创建广告创意

javascript
// Tool: meta_create_ad_creative
// Creates an ad creative with image/video

const creative = await mcp.call_tool("meta_create_ad_creative", {
  account_id: "act_1234567890",
  name: "CRM Demo Ad Creative",
  object_story_spec: {
    page_id: "1234567890",
    link_data: {
      image_hash: "a1b2c3d4e5f6", // From meta_upload_image
      link: "https://example.com/demo",
      message: "Manage your customers better with our all-in-one CRM. Start your free trial today!",
      name: "Try Our CRM Free",
      description: "No credit card required. Get started in minutes.",
      call_to_action: {
        type: "SIGN_UP",
        value: {
          link: "https://example.com/signup"
        }
      }
    }
  }
});
javascript
// Tool: meta_create_ad_creative
// 创建带图片/视频的广告创意

const creative = await mcp.call_tool("meta_create_ad_creative", {
  account_id: "act_1234567890",
  name: "CRM Demo Ad Creative",
  object_story_spec: {
    page_id: "1234567890",
    link_data: {
      image_hash: "a1b2c3d4e5f6", // 来自meta_upload_image
      link: "https://example.com/demo",
      message: "Manage your customers better with our all-in-one CRM. Start your free trial today!",
      name: "Try Our CRM Free",
      description: "No credit card required. Get started in minutes.",
      call_to_action: {
        type: "SIGN_UP",
        value: {
          link: "https://example.com/signup"
        }
      }
    }
  }
});

Create Custom Audience

创建自定义受众

javascript
// Tool: meta_create_custom_audience
// Creates a custom audience for targeting

const audience = await mcp.call_tool("meta_create_custom_audience", {
  account_id: "act_1234567890",
  name: "Website Visitors - Last 30 Days",
  subtype: "WEBSITE", // WEBSITE, CUSTOMER_LIST, APP_USERS, ENGAGEMENT
  retention_days: 30,
  pixel_id: "1234567890123456",
  rule: {
    inclusions: {
      operator: "or",
      rules: [
        {
          event_sources: [{
            type: "pixel",
            id: "1234567890123456"
          }],
          retention_seconds: 2592000, // 30 days
          filter: {
            operator: "and",
            filters: [
              {
                field: "url",
                operator: "i_contains",
                value: "/product"
              }
            ]
          }
        }
      ]
    }
  }
});
javascript
// Tool: meta_create_custom_audience
// 创建用于定向的自定义受众

const audience = await mcp.call_tool("meta_create_custom_audience", {
  account_id: "act_1234567890",
  name: "Website Visitors - Last 30 Days",
  subtype: "WEBSITE", // WEBSITE、CUSTOMER_LIST、APP_USERS、ENGAGEMENT
  retention_days: 30,
  pixel_id: "1234567890123456",
  rule: {
    inclusions: {
      operator: "or",
      rules: [
        {
          event_sources: [{
            type: "pixel",
            id: "1234567890123456"
          }],
          retention_seconds: 2592000, // 30天
          filter: {
            operator: "and",
            filters: [
              {
                field: "url",
                operator: "i_contains",
                value: "/product"
              }
            ]
          }
        }
      ]
    }
  }
});

Create Lookalike Audience

创建相似受众

javascript
// Tool: meta_create_lookalike_audience
// Creates a lookalike audience from a seed audience

const lookalike = await mcp.call_tool("meta_create_lookalike_audience", {
  account_id: "act_1234567890",
  name: "Lookalike - Top Customers",
  origin_audience_id: "23850000000000000", // Seed custom audience
  lookalike_spec: {
    type: "similarity",
    ratio: 0.01, // Top 1% similarity
    country: "US"
  }
});
javascript
// Tool: meta_create_lookalike_audience
// 从种子受众创建相似受众

const lookalike = await mcp.call_tool("meta_create_lookalike_audience", {
  account_id: "act_1234567890",
  name: "Lookalike - Top Customers",
  origin_audience_id: "23850000000000000", // 种子自定义受众
  lookalike_spec: {
    type: "similarity",
    ratio: 0.01, // 相似度前1%
    country: "US"
  }
});

Get Ad Performance Insights

获取广告绩效洞察

javascript
// Tool: meta_get_insights
// Retrieves performance metrics with breakdowns

const insights = await mcp.call_tool("meta_get_insights", {
  object_id: "act_1234567890", // Account, campaign, ad set, or ad ID
  level: "ad", // account, campaign, adset, or ad
  date_preset: "last_30d",
  fields: [
    "impressions",
    "clicks",
    "ctr",
    "spend",
    "cpc",
    "cpm",
    "reach",
    "frequency",
    "conversions",
    "cost_per_conversion",
    "roas"
  ],
  breakdowns: ["age", "gender"] // Segment data by demographics
});
javascript
// Tool: meta_get_insights
// 获取带细分维度的绩效指标

const insights = await mcp.call_tool("meta_get_insights", {
  object_id: "act_1234567890", // 账户、营销活动、广告组或广告ID
  level: "ad", // account、campaign、adset或ad
  date_preset: "last_30d",
  fields: [
    "impressions",
    "clicks",
    "ctr",
    "spend",
    "cpc",
    "cpm",
    "reach",
    "frequency",
    "conversions",
    "cost_per_conversion",
    "roas"
  ],
  breakdowns: ["age", "gender"] // 按人口统计数据细分
});

Google Analytics 4 Tools

Google Analytics 4工具

Run Standard Report

运行标准报告

javascript
// Tool: ga4_run_report
// Runs a standard GA4 report

const report = await mcp.call_tool("ga4_run_report", {
  property_id: "properties/123456789",
  date_ranges: [
    {
      start_date: "30daysAgo",
      end_date: "today"
    }
  ],
  dimensions: [
    { name: "sessionSource" },
    { name: "sessionMedium" },
    { name: "sessionCampaignName" }
  ],
  metrics: [
    { name: "sessions" },
    { name: "totalUsers" },
    { name: "conversions" },
    { name: "totalRevenue" }
  ],
  order_bys: [
    {
      metric: { metric_name: "sessions" },
      desc: true
    }
  ],
  limit: 10
});
javascript
// Tool: ga4_run_report
// 运行标准GA4报告

const report = await mcp.call_tool("ga4_run_report", {
  property_id: "properties/123456789",
  date_ranges: [
    {
      start_date: "30daysAgo",
      end_date: "today"
    }
  ],
  dimensions: [
    { name: "sessionSource" },
    { name: "sessionMedium" },
    { name: "sessionCampaignName" }
  ],
  metrics: [
    { name: "sessions" },
    { name: "totalUsers" },
    { name: "conversions" },
    { name: "totalRevenue" }
  ],
  order_bys: [
    {
      metric: { metric_name: "sessions" },
      desc: true
    }
  ],
  limit: 10
});

Get Realtime Data

获取实时数据

javascript
// Tool: ga4_run_realtime_report
// Gets current active users and events

const realtime = await mcp.call_tool("ga4_run_realtime_report", {
  property_id: "properties/123456789",
  dimensions: [
    { name: "country" },
    { name: "deviceCategory" }
  ],
  metrics: [
    { name: "activeUsers" },
    { name: "screenPageViews" }
  ],
  minute_ranges: [
    { start_minutes_ago: 5, end_minutes_ago: 0 }
  ]
});
javascript
// Tool: ga4_run_realtime_report
// 获取当前活跃用户和事件数据

const realtime = await mcp.call_tool("ga4_run_realtime_report", {
  property_id: "properties/123456789",
  dimensions: [
    { name: "country" },
    { name: "deviceCategory" }
  ],
  metrics: [
    { name: "activeUsers" },
    { name: "screenPageViews" }
  ],
  minute_ranges: [
    { start_minutes_ago: 5, end_minutes_ago: 0 }
  ]
});

List Key Events (Conversions)

列出关键事件(转化)

javascript
// Tool: ga4_list_key_events
// Lists all conversion events

const keyEvents = await mcp.call_tool("ga4_list_key_events", {
  property_id: "properties/123456789"
});

// Returns: event name, counting_method, custom/default
javascript
// Tool: ga4_list_key_events
// 列出所有转化事件

const keyEvents = await mcp.call_tool("ga4_list_key_events", {
  property_id: "properties/123456789"
});

// 返回:事件名称、统计方式、自定义/默认

Get Available Dimensions and Metrics

获取可用维度和指标

javascript
// Tool: ga4_get_metadata
// Lists all available dimensions and metrics

const metadata = await mcp.call_tool("ga4_get_metadata", {
  property_id: "properties/123456789"
});

// Returns: dimension/metric API names, UI names, descriptions, data types
javascript
// Tool: ga4_get_metadata
// 列出所有可用维度和指标

const metadata = await mcp.call_tool("ga4_get_metadata", {
  property_id: "properties/123456789"
});

// 返回:维度/指标API名称、UI名称、描述、数据类型

Run Pivot Report

运行透视报告

javascript
// Tool: ga4_run_pivot_report
// Creates a pivot table style report

const pivotReport = await mcp.call_tool("ga4_run_pivot_report", {
  property_id: "properties/123456789",
  date_ranges: [
    { start_date: "2026-01-01", end_date: "2026-03-31" }
  ],
  dimensions: [
    { name: "sessionSource" },
    { name: "deviceCategory" }
  ],
  metrics: [
    { name: "sessions" },
    { name: "conversions" }
  ],
  pivots: [
    {
      field_names: ["deviceCategory"],
      limit: 5,
      order_bys: [
        {
          metric: { metric_name: "sessions" },
          desc: true
        }
      ]
    }
  ]
});
javascript
// Tool: ga4_run_pivot_report
// 创建数据透视表样式的报告

const pivotReport = await mcp.call_tool("ga4_run_pivot_report", {
  property_id: "properties/123456789",
  date_ranges: [
    { start_date: "2026-01-01", end_date: "2026-03-31" }
  ],
  dimensions: [
    { name: "sessionSource" },
    { name: "deviceCategory" }
  ],
  metrics: [
    { name: "sessions" },
    { name: "conversions" }
  ],
  pivots: [
    {
      field_names: ["deviceCategory"],
      limit: 5,
      order_bys: [
        {
          metric: { metric_name: "sessions" },
          desc: true
        }
      ]
    }
  ]
});

Cross-Platform Patterns

跨平台模式

Compare Google Ads vs Meta Ads Performance

对比Google Ads与Meta Ads绩效

javascript
// Get Google Ads performance
const googleAds = await mcp.call_tool("get_campaign_performance", {
  customer_id: "1234567890",
  date_range: "LAST_30_DAYS",
  metrics: ["cost_micros", "conversions", "conversion_value"]
});

// Get Meta Ads performance
const metaAds = await mcp.call_tool("meta_get_insights", {
  object_id: "act_1234567890",
  level: "account",
  date_preset: "last_30d",
  fields: ["spend", "conversions", "conversion_values"]
});

// Calculate ROAS for each
const googleROAS = googleAds.conversion_value / (googleAds.cost_micros / 1000000);
const metaROAS = metaAds.conversion_values / metaAds.spend;

// Compare and allocate budget
javascript
// 获取Google Ads绩效
const googleAds = await mcp.call_tool("get_campaign_performance", {
  customer_id: "1234567890",
  date_range: "LAST_30_DAYS",
  metrics: ["cost_micros", "conversions", "conversion_value"]
});

// 获取Meta Ads绩效
const metaAds = await mcp.call_tool("meta_get_insights", {
  object_id: "act_1234567890",
  level: "account",
  date_preset: "last_30d",
  fields: ["spend", "conversions", "conversion_values"]
});

// 计算各自的ROAS
const googleROAS = googleAds.conversion_value / (googleAds.cost_micros / 1000000);
const metaROAS = metaAds.conversion_values / metaAds.spend;

// 对比并分配预算

Correlate Ad Spend with GA4 Conversions

将广告支出与GA4转化关联

javascript
// Get ad spend from both platforms
const googleSpend = await mcp.call_tool("get_campaign_performance", {
  customer_id: "1234567890",
  date_range: "LAST_30_DAYS",
  metrics: ["cost_micros"]
});

const metaSpend = await mcp.call_tool("meta_get_insights", {
  object_id: "act_1234567890",
  date_preset: "last_30d",
  fields: ["spend"]
});

// Get GA4 conversion data by source
const ga4Conversions = await mcp.call_tool("ga4_run_report", {
  property_id: "properties/123456789",
  date_ranges: [{ start_date: "30daysAgo", end_date: "today" }],
  dimensions: [{ name: "sessionSource" }],
  metrics: [{ name: "conversions" }, { name: "totalRevenue" }],
  dimension_filter: {
    filter: {
      field_name: "sessionSource",
      in_list_filter: {
        values: ["google", "facebook", "instagram"]
      }
    }
  }
});

// Analyze attribution discrepancies
javascript
// 获取两个平台的广告支出
const googleSpend = await mcp.call_tool("get_campaign_performance", {
  customer_id: "1234567890",
  date_range: "LAST_30_DAYS",
  metrics: ["cost_micros"]
});

const metaSpend = await mcp.call_tool("meta_get_insights", {
  object_id: "act_1234567890",
  date_preset: "last_30d",
  fields: ["spend"]
});

// 获取按来源划分的GA4转化数据
const ga4Conversions = await mcp.call_tool("ga4_run_report", {
  property_id: "properties/123456789",
  date_ranges: [{ start_date: "30daysAgo", end_date: "today" }],
  dimensions: [{ name: "sessionSource" }],
  metrics: [{ name: "conversions" }, { name: "totalRevenue" }],
  dimension_filter: {
    filter: {
      field_name: "sessionSource",
      in_list_filter: {
        values: ["google", "facebook", "instagram"]
      }
    }
  }
});

// 分析归因差异

Unified Campaign Health Dashboard

统一营销活动健康仪表盘

javascript
// Function to check all campaigns across platforms
async function getCampaignHealth() {
  const googleCampaigns = await mcp.call_tool("list_campaigns", {
    customer_id: "1234567890",
    include_metrics: true,
    date_range: "LAST_7_DAYS"
  });
  
  const metaCampaigns = await mcp.call_tool("meta_list_campaigns", {
    account_id: "act_1234567890",
    include_insights: true,
    date_preset: "last_7d"
  });
  
  const ga4Traffic = await mcp.call_tool("ga4_run_report", {
    property_id: "properties/123456789",
    date_ranges: [{ start_date: "7daysAgo", end_date: "today" }],
    dimensions: [{ name: "sessionSource" }],
    metrics: [{ name: "sessions" }, { name: "bounceRate" }, { name: "conversions" }]
  });
  
  // Flag campaigns with ROAS < 2.0, high bounce rate, or declining performance
  const alerts = [];
  
  googleCampaigns.forEach(campaign => {
    if (campaign.roas < 2.0) {
      alerts.push({
        platform: "Google Ads",
        campaign: campaign.name,
        issue: "Low ROAS",
        value: campaign.roas
      });
    }
  });
  
  return { googleCampaigns, metaCampaigns, ga4Traffic, alerts };
}
javascript
// 检查全平台所有营销活动的函数
async function getCampaignHealth() {
  const googleCampaigns = await mcp.call_tool("list_campaigns", {
    customer_id: "1234567890",
    include_metrics: true,
    date_range: "LAST_7_DAYS"
  });
  
  const metaCampaigns = await mcp.call_tool("meta_list_campaigns", {
    account_id: "act_1234567890",
    include_insights: true,
    date_preset: "last_7d"
  });
  
  const ga4Traffic = await mcp.call_tool("ga4_run_report", {
    property_id: "properties/123456789",
    date_ranges: [{ start_date: "7daysAgo", end_date: "today" }],
    dimensions: [{ name: "sessionSource" }],
    metrics: [{ name: "sessions" }, { name: "bounceRate" }, { name: "conversions" }]
  });
  
  // 标记ROAS < 2.0、高跳出率或绩效下滑的营销活动
  const alerts = [];
  
  googleCampaigns.forEach(campaign => {
    if (campaign.roas < 2.0) {
      alerts.push({
        platform: "Google Ads",
        campaign: campaign.name,
        issue: "Low ROAS",
        value: campaign.roas
      });
    }
  });
  
  return { googleCampaigns, metaCampaigns, ga4Traffic, alerts };
}

Common Workflows

常见工作流

Complete Campaign Launch (Google Ads)

完整营销活动上线(Google Ads)

  1. Create campaign with
    create_search_campaign
  2. Create ad groups with
    create_ad_group
  3. Add keywords with
    add_keywords
  4. Create ads with
    create_responsive_search_ad
  5. Add extensions with
    create_sitelinks
    ,
    create_callouts
  6. Set up negative keywords with
    add_negative_keywords
  7. Enable campaign with
    resume_campaign
  1. 使用
    create_search_campaign
    创建营销活动
  2. 使用
    create_ad_group
    创建广告组
  3. 使用
    add_keywords
    添加关键词
  4. 使用
    create_responsive_search_ad
    创建广告
  5. 使用
    create_sitelinks
    create_callouts
    添加附加信息
  6. 使用
    add_negative_keywords
    设置否定关键词
  7. 使用
    resume_campaign
    启用营销活动

A/B Test Setup (Meta Ads)

A/B测试设置(Meta Ads)

  1. Create campaign with
    meta_create_campaign
  2. Create two ad sets with different targeting using
    meta_create_ad_set
  3. Upload images with
    meta_upload_image
  4. Create creatives with
    meta_create_ad_creative
    (different copy/images)
  5. Create ads linking creatives to ad sets
  6. Monitor performance with
    meta_get_insights
    and breakdown by ad set
  1. 使用
    meta_create_campaign
    创建营销活动
  2. 使用
    meta_create_ad_set
    创建两个带不同定向的广告组
  3. 使用
    meta_upload_image
    上传图片
  4. 使用
    meta_create_ad_creative
    创建创意(不同文案/图片)
  5. 创建广告将创意与广告组关联
  6. 使用
    meta_get_insights
    监控绩效并按广告组细分

Audience Retargeting Flow

受众再营销流程

Google Ads:
  1. Create remarketing list with
    create_remarketing_list
  2. Add website visitors based on URL rules
  3. Apply to campaign with
    update_campaign_targeting
Meta Ads:
  1. Create custom audience with
    meta_create_custom_audience
    (website visitors)
  2. Create lookalike with
    meta_create_lookalike_audience
  3. Use in ad set targeting
Google Ads:
  1. 使用
    create_remarketing_list
    创建再营销列表
  2. 根据URL规则添加网站访客
  3. 使用
    update_campaign_targeting
    应用到营销活动
Meta Ads:
  1. 使用
    meta_create_custom_audience
    创建自定义受众(网站访客)
  2. 使用
    meta_create_lookalike_audience
    创建相似受众
  3. 在广告组定向中使用

Performance Optimization Routine

绩效优化流程

javascript
// Weekly optimization script
async function optimizeWeeklyCampaigns() {
  // 1. Identify underperforming keywords
  const keywords = await mcp.call_tool("list_keywords", {
    customer_id: "1234567890",
    include_metrics: true,
    date_range: "LAST_7_DAYS"
  });
  
  const lowQualityKeywords = keywords.filter(kw => 
    kw.quality_score < 5 || kw.ctr < 0.02
  );
  
  // 2. Pause low performers
  for (const kw of lowQualityKeywords) {
    await mcp.call_tool("pause_keyword", {
      customer_id: "1234567890",
      keyword_id: kw.id
    });
  }
  
  // 3. Find high-converting search terms
  const searchTerms = await mcp.call_tool("get_search_terms", {
    customer_id: "1234567890",
    date_range: "LAST_30_DAYS"
  });
  
  const winningTerms = searchTerms.filter(st => 
    st.conversions > 5 && st.conversion_rate > 0.05
  );
  
  // 4. Add as exact match keywords
  for (const term of winningTerms) {
    await mcp.call_tool("add_keywords", {
      customer_id: "1234567890",
      ad_group_id: term.ad_group_id,
      keywords: [
        { text: term.text, match_type: "EXACT", cpc_bid_micros: term.avg_cpc * 1.2 }
      ]
    });
  }
  
  // 5. Check budget pacing
  const campaigns = await mcp.call_tool("list_campaigns", {
    customer_id: "1234567890",
    include_metrics: true
  });
  
  for (const campaign of campaigns) {
    const pacingRatio = campaign.spend_last_7d / (campaign.daily_budget * 7);
    
    if (pacingRatio > 0.9 && campaign.roas > 3.0) {
      // Increase budget for high performers
      await mcp.call_tool("update_campaign", {
        customer_id: "1234567890",
        campaign_id: campaign.id,
        daily_budget_micros: campaign.daily_budget * 1.2 * 1000000
      });
    }
  }
}
javascript
// 每周优化脚本
async function optimizeWeeklyCampaigns() {
  // 1. 识别表现不佳的关键词
  const keywords = await mcp.call_tool("list_keywords", {
    customer_id: "1234567890",
    include_metrics: true,
    date_range: "LAST_7_DAYS"
  });
  
  const lowQualityKeywords = keywords.filter(kw => 
    kw.quality_score < 5 || kw.ctr < 0.02
  );
  
  // 2. 暂停表现差的关键词
  for (const kw of lowQualityKeywords) {
    await mcp.call_tool("pause_keyword", {
      customer_id: "1234567890",
      keyword_id: kw.id
    });
  }
  
  // 3. 找到高转化搜索词
  const searchTerms = await mcp.call_tool("get_search_terms", {
    customer_id: "1234567890",
    date_range: "LAST_30_DAYS"
  });
  
  const winningTerms = searchTerms.filter(st => 
    st.conversions > 5 && st.conversion_rate > 0.05
  );
  
  // 4. 添加为精确匹配关键词
  for (const term of winningTerms) {
    await mcp.call_tool("add_keywords", {
      customer_id: "1234567890",
      ad_group_id: term.ad_group_id,
      keywords: [
        { text: term.text, match_type: "EXACT", cpc_bid_micros: term.avg_cpc * 1.2 }
      ]
    });
  }
  
  // 5. 检查预算节奏
  const campaigns = await mcp.call_tool("list_campaigns", {
    customer_id: "1234567890",
    include_metrics: true
  });
  
  for (const campaign of campaigns) {
    const pacingRatio = campaign.spend_last_7d / (campaign.daily_budget * 7);
    
    if (pacingRatio > 0.9 && campaign.roas > 3.0) {
      // 为高绩效营销活动增加预算
      await mcp.call_tool("update_campaign", {
        customer_id: "1234567890",
        campaign_id: campaign.id,
        daily_budget_micros: campaign.daily_budget * 1.2 * 1000000
      });
    }
  }
}

Troubleshooting

故障排除

Connection Issues

连接问题

Symptom: MCP server not appearing in Claude/ChatGPT
Solutions:
  1. Verify the URL is correct in your config file
  2. Restart the AI assistant completely (quit and relaunch)
  3. Check for JSON syntax errors in config (use a JSON validator)
  4. Ensure you have network connectivity to the MCP endpoint
症状:MCP服务器未在Claude/ChatGPT中显示
解决方案:
  1. 验证配置文件中的URL是否正确
  2. 完全重启AI助手(退出后重新启动)
  3. 检查配置中的JSON语法错误(使用JSON验证工具)
  4. 确保您的网络可以连接到MCP端点

Authentication Failures

认证失败

Symptom: "Authentication required" or "Invalid token" errors
Solutions:
  1. Re-run the OAuth flow by using any tool that requires authentication
  2. Check that you've granted all required permissions during OAuth
  3. Verify your account has appropriate access (MCC structure for Google Ads)
  4. For Google Ads: ensure your developer token is approved (not in test mode)
  5. For Meta Ads: check that your app has the required permissions (ads_management, ads_read)
症状:“需要认证”或“无效令牌”错误
解决方案:
  1. 使用任何需要认证的工具重新运行OAuth流程
  2. 检查您在OAuth过程中是否授予了所有必要权限
  3. 验证您的账户具有适当的访问权限(Google Ads的MCC结构)
  4. 对于Google Ads:确保您的开发者令牌已获批(非测试模式)
  5. 对于Meta Ads:检查您的应用是否具有所需权限(ads_management、ads_read)

API Errors

API错误

Symptom: "RESOURCE_EXHAUSTED" or rate limit errors
Solutions:
  • Google Ads has per-developer and per-account rate limits
  • Meta Ads has per-app rate limits
  • Implement exponential backoff in automation scripts
  • Batch operations when possible (e.g., add multiple keywords at once)
Symptom: "PERMISSION_DENIED" errors
Solutions:
  • Google Ads: Verify you have the correct customer ID (10 digits, no dashes)
  • Meta Ads: Ensure the ad account ID includes "act_" prefix
  • GA4: Use the full property ID format "properties/123456789"
  • Check account access levels (standard vs. admin)
症状:“RESOURCE_EXHAUSTED”或速率限制错误
解决方案:
  • Google Ads有针对开发者和账户的速率限制
  • Meta Ads有针对应用的速率限制
  • 在自动化脚本中实现指数退避机制
  • 尽可能批量操作(例如,一次性添加多个关键词)
症状:“PERMISSION_DENIED”错误
解决方案:
  • Google Ads:验证您使用的客户ID是否正确(10位数字,无连字符)
  • Meta Ads:确保广告账户ID包含“act_”前缀
  • GA4:使用完整的属性ID格式“properties/123456789”
  • 检查账户访问级别(标准 vs 管理员)

Data Discrepancies

数据差异

Symptom: GA4 conversions don't match Google Ads conversions
Solutions:
  • Check attribution window settings (GA4 vs. Google Ads may differ)
  • Verify conversion import settings if using GA4 goals in Google Ads
  • Compare date ranges (GA4 uses property timezone, Google Ads uses account timezone)
  • Check for conversion tag implementation issues
症状:GA4转化数据与Google Ads转化数据不匹配
解决方案:
  • 检查归因窗口设置(GA4与Google Ads可能不同)
  • 如果在Google Ads中使用GA4目标,验证转化导入设置
  • 对比日期范围(GA4使用属性时区,Google Ads使用账户时区)
  • 检查转化标签实施问题

Tool Not Found

工具未找到

Symptom: AI assistant says it can't find a specific tool
Solutions:
  1. Use
    list_tools()
    to see all available tools
  2. Check the exact tool name (case-sensitive, underscores not hyphens)
  3. Verify your MCP server version supports that tool
  4. Some tools require platform-specific authentication first
症状:AI助手表示无法找到特定工具
解决方案:
  1. 使用
    list_tools()
    查看所有可用工具
  2. 检查工具的准确名称(区分大小写,使用下划线而非连字符)
  3. 验证您的MCP服务器版本支持该工具
  4. 部分工具需要先完成平台特定的认证

Best Practices

最佳实践

Security

安全

  • Never hardcode credentials in scripts — always use environment variables
  • Use the OAuth flow provided by the MCP server, don't try to manage tokens manually
  • For production automation, implement proper error handling and logging
  • Rotate access tokens regularly if self-hosting
  • 永远不要在脚本中硬编码凭据——始终使用环境变量
  • 使用MCP服务器提供的OAuth流程,不要尝试手动管理令牌
  • 对于生产自动化,实施适当的错误处理和日志记录
  • 若自行托管,定期轮换访问令牌

Performance

性能

  • Batch API calls when possible (add multiple keywords, create multiple ads)
  • Use date range filters to reduce data transfer
  • Cache frequently accessed data (account hierarchies, metadata)
  • Implement rate limiting in automation scripts
  • 尽可能批量调用API(添加多个关键词、创建多个广告)
  • 使用日期范围过滤器减少数据传输
  • 缓存频繁访问的数据(账户层级、元数据)
  • 在自动化脚本中实施速率限制

Campaign Management

营销活动管理

  • Always create campaigns in
    PAUSED
    status, review before enabling
  • Use labels extensively for organization and bulk operations
  • Set up conversion tracking before launching campaigns
  • Use experiments for A/B testing instead of manual splits
  • 始终以
    PAUSED
    状态创建营销活动,审核后再启用
  • 广泛使用标签进行组织和批量操作
  • 在启动营销活动前设置转化追踪
  • 使用实验进行A/B测试,而非手动拆分

Data Analysis

数据分析

  • Segment data by time period to identify trends
  • Use GA4 as source of truth for cross-platform attribution
  • Compare platform-reported conversions with GA4 for discrepancies
  • Export large datasets to BigQuery for advanced analysis
  • 按时间段细分数据以识别趋势
  • 使用GA4作为跨平台归因的数据源
  • 对比平台报告的转化数据与GA4数据,查找差异
  • 将大型数据集导出到BigQuery进行高级分析

Additional Resources

额外资源