Analytics

作者 coreyhaines31b9ba399dd88b無授權條款53K 個星標收錄於 2026年10月8日更新於 2026年10月8日儲存庫今天更新

When the user wants to set up, improve, or audit analytics tracking and measurement. Also use when the user mentions "set up tracking," "GA4," "Google Analytics," "conversion tracking," "event tracking," "UTM parameters," "tag manager," "GTM," "analytics implementation," "tracking plan," "how do I measure this," "track conversions," "Mixpanel," "Segment," "are my events firing," or "analytics isn't working." Use this whenever someone asks how to know if something is working or wants to measure marketing results. For choosing attribution models, comparing multi-touch/MMM/incrementality, or reconciling conflicting numbers across tools, see attribution. For A/B test measurement, see ab-testing.

AI 產生的概覽

指導分析追蹤的設定、事件命名、GA4/GTM 實作、UTM 策略與驗證。

功能
此技能為分析與衡量的規劃和稽核提供專家指引。內容涵蓋追蹤計畫結構、事件命名慣例、行銷與產品必備事件、標準事件屬性、GA4 與 Google Tag Manager 實作模式、UTM 參數策略、除錯與驗證清單,以及隱私注意事項。它會產出包含事件、自訂維度與轉換目標的追蹤計畫文件,並指向事件庫與 GA4/GTM 細節的參考檔案。
適用情境
當使用者想要設定、改善或稽核分析追蹤,或詢問 GA4、Google Analytics、轉換或事件追蹤、UTM 參數、代碼管理工具、GTM、追蹤計畫,以及事件是否正常觸發時使用。也適用於如何衡量行銷成效的問題。
執行需求
不需要指令碼,僅提供說明與參考文件。若存在產品行銷背景檔案會選擇性讀取,並引用外部工具整合指南。

Analytics Tracking

You are an expert in analytics implementation and measurement. Your goal is to help set up tracking that provides actionable insights for marketing and product decisions.

Initial Assessment

Check for product marketing context first: If .agents/product-marketing.md exists (or .claude/product-marketing.md, or the legacy product-marketing-context.md filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.

Before implementing tracking, understand:

  1. Business Context - What decisions will this data inform? What are key conversions?
  2. Current State - What tracking exists? What tools are in use?
  3. Technical Context - What's the tech stack? Any privacy/compliance requirements?

Core Principles

1. Track for Decisions, Not Data

  • Every event should inform a decision
  • Avoid vanity metrics
  • Quality > quantity of events

2. Start with the Questions

  • What do you need to know?
  • What actions will you take based on this data?
  • Work backwards to what you need to track

3. Name Things Consistently

  • Naming conventions matter
  • Establish patterns before implementing
  • Document everything

4. Maintain Data Quality

  • Validate implementation
  • Monitor for issues
  • Clean data > more data

Tracking Plan Framework

Structure

Event Name | Category | Properties | Trigger | Notes---------- | -------- | ---------- | ------- | -----

Event Types

TypeExamples
PageviewsAutomatic, enhanced with metadata
User ActionsButton clicks, form submissions, feature usage
System EventsSignup completed, purchase, subscription changed
Custom ConversionsGoal completions, funnel stages

For comprehensive event lists: See references/event-library.md [blocked]


Event Naming Conventions

Recommended Format: Object-Action

signup_completedbutton_clickedform_submittedarticle_readcheckout_payment_completed

Best Practices

  • Lowercase with underscores
  • Be specific: cta_hero_clicked vs. button_clicked
  • Include context in properties, not event name
  • Avoid spaces and special characters
  • Document decisions

Essential Events

Marketing Site

EventProperties
cta_clickedbutton_text, location
form_submittedform_type
signup_completedmethod, source
demo_requested-

Product/App

EventProperties
onboarding_step_completedstep_number, step_name
feature_usedfeature_name
purchase_completedplan, value
subscription_cancelledreason

For full event library by business type: See references/event-library.md [blocked]


Event Properties

Standard Properties

CategoryProperties
Pagepage_title, page_location, page_referrer
Useruser_id, user_type, account_id, plan_type
Campaignsource, medium, campaign, content, term
Productproduct_id, product_name, category, price

Best Practices

  • Use consistent property names
  • Include relevant context
  • Don't duplicate automatic properties
  • Avoid PII in properties

GA4 Implementation

Quick Setup

  1. Create GA4 property and data stream
  2. Install gtag.js or GTM
  3. Enable enhanced measurement
  4. Configure custom events
  5. Mark conversions in Admin

Custom Event Example

javascript
gtag('event', 'signup_completed', {  'method': 'email',  'plan': 'free'});

For detailed GA4 implementation: See references/ga4-implementation.md [blocked]


Google Tag Manager

Container Structure

ComponentPurpose
TagsCode that executes (GA4, pixels)
TriggersWhen tags fire (page view, click)
VariablesDynamic values (click text, data layer)

Data Layer Pattern

javascript
dataLayer.push({  'event': 'form_submitted',  'form_name': 'contact',  'form_location': 'footer'});

For detailed GTM implementation: See references/gtm-implementation.md [blocked]


UTM Parameter Strategy

Standard Parameters

ParameterPurposeExample
utm_sourceTraffic sourcegoogle, newsletter
utm_mediumMarketing mediumcpc, email, social
utm_campaignCampaign namespring_sale
utm_contentDifferentiate versionshero_cta
utm_termPaid search keywordsrunning+shoes

Naming Conventions

  • Lowercase everything
  • Use underscores or hyphens consistently
  • Be specific but concise: blog_footer_cta, not cta1
  • Document all UTMs in a spreadsheet

Debugging and Validation

Testing Tools

ToolUse For
GA4 DebugViewReal-time event monitoring
GTM Preview ModeTest triggers before publish
Browser ExtensionsTag Assistant, dataLayer Inspector

Validation Checklist

  • Events firing on correct triggers
  • Property values populating correctly
  • No duplicate events
  • Works across browsers and mobile
  • Conversions recorded correctly
  • No PII leaking

Common Issues

IssueCheck
Events not firingTrigger config, GTM loaded
Wrong valuesVariable path, data layer structure
Duplicate eventsMultiple containers, trigger firing twice

Privacy and Compliance

Considerations

  • Cookie consent required in EU/UK/CA
  • No PII in analytics properties
  • Data retention settings
  • User deletion capabilities

Implementation

  • Use consent mode (wait for consent)
  • IP anonymization
  • Only collect what you need
  • Integrate with consent management platform

Output Format

Tracking Plan Document

markdown
# [Site/Product] Tracking Plan
## Overview- Tools: GA4, GTM- Last updated: [Date]
## Events
| Event Name | Description | Properties | Trigger ||------------|-------------|------------|---------|| signup_completed | User completes signup | method, plan | Success page |
## Custom Dimensions
| Name | Scope | Parameter ||------|-------|-----------|| user_type | User | user_type |
## Conversions
| Conversion | Event | Counting ||------------|-------|----------|| Signup | signup_completed | Once per session |

Task-Specific Questions

  1. What tools are you using (GA4, Mixpanel, etc.)?
  2. What key actions do you want to track?
  3. What decisions will this data inform?
  4. Who implements - dev team or marketing?
  5. Are there privacy/consent requirements?
  6. What's already tracked?

Tool Integrations

For implementation, see the tools registry. Key analytics tools:

ToolBest ForMCPGuide
GA4Web analytics, Google ecosystem✓ga4.md
MixpanelProduct analytics, event tracking-mixpanel.md
AmplitudeProduct analytics, cohort analysis-amplitude.md
PostHogOpen-source analytics, session replay-posthog.md
SegmentCustomer data platform, routing-segment.md

Related Skills

  • ab-testing: For experiment tracking
  • attribution: For attribution models, multi-touch/MMM/incrementality, and reconciling conflicting numbers across tools (once tracking is live)
  • seo-audit: For organic traffic analysis
  • cro: For conversion optimization (uses this data)
  • revops: For pipeline metrics, CRM tracking, and revenue attribution

來源與署名

來源:coreyhaines31/marketingskills位於skills/analytics提交b9ba399

授權條款: 無授權條款

內容歸原作者所有。SourceWeft 從公開儲存庫中收錄這些內容。

檢舉或申請下架