analytics-tracking
GitHub指导GA4配置、事件追踪、转化设置及数据质量优化。涵盖User ID跨设备识别、CTA内容ROI归因，规范事件命名与gtag.js实现，确保全渠道数据准确采集与分析。
Trigger Scenarios
Install
npx skills add sediman-agent/OpenSkynet --skill analytics-tracking -g -y
SKILL.md
Frontmatter
{
"name": "analytics-tracking",
"metadata": {
"version": "1.3.1"
},
"description": "When the user wants to set up, audit, or optimize analytics tracking (GA4, events, conversions). Also use when the user mentions \"Google Analytics,\" \"GA4,\" \"event tracking,\" \"conversions,\" \"attribution model,\" \"gtag,\" \"data layer,\" \"GA4 setup,\" \"conversion tracking,\" \"event setup,\" \"User ID tracking,\" or \"CTA attribution.\" For traffic insights, use traffic-analysis."
}
Analytics: Tracking
Guides analytics implementation: GA4 setup, event tracking, conversions, and data quality. Applies to web and app tracking across marketing channels.
When invoking: On first use, if helpful, open with 1-2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.
User ID
- Purpose: Cross-device, cross-session user identification
- Implementation: Set
user_idwhen user is identified (e.g., login); send to GA4 - Benefit: Accurate attribution across sessions; better audience building
CTA Attribution (Article ROI)
Track CTA clicks on key articles to measure content ROI:
| Action | Purpose |
|---|---|
| Event per CTA | e.g., cta_click with content_url, content_type |
| Conversion | Mark as conversion in GA4 for attribution |
| Use | Compare high vs low performers; optimize CTA placement and copy |
See seo-monitoring for article database and benchmark context.
Infrastructure Requirements
| Component | Purpose |
|---|---|
| Data warehouse | Centralized data; BI reporting |
| Event tracking | User behavior; funnel mapping |
| Attribution | Ad pixels; attribution model; impression-to-sale tracking |
Optimization flow: Clean UTM + conversion events → attribution reports → optimize channel mix.
Scope
- GA4: Web data stream, gtag.js, configuration
- User ID: Cross-device, cross-session identification
- CTA attribution: Per-article conversion tracking for content ROI
- Events: Recommended and custom events
- Conversions: Key events, parameters
- Quality: Naming, testing, validation
GA4 Setup
Prerequisites
- Google Analytics property and web data stream
- Google tag (gtag.js) on all pages
- Measurement ID (e.g.,
G-XXXXXXXXXX)
Enhanced Measurement
Enable in Admin > Data Streams > Enhanced Measurement for automatic tracking of:
- Page views, scrolls, outbound clicks
- Site search, file downloads
- Video engagement (YouTube)
Event Tracking
Event Types
| Type | Description |
|---|---|
| Automatically collected | page_view, first_visit, session_start |
| Enhanced measurement | scroll, click, file_download, etc. |
| Recommended | purchase, sign_up, search, etc. |
| Custom | Business-specific actions |
Naming Conventions
- Length: <=40 characters (GA4 hard limit; longer names are not logged)
- Format:
snake_case, lowercase - Verb first:
download_pdf,submit_form,video_play - Context:
pricing_page_scrollvs genericscroll
gtag.js Syntax
gtag('event', '<event_name>', {
<parameter_name>: <value>,
// e.g. value: 99.99, currency: 'USD'
});
Place below the Google tag snippet. Events fire on page load or user action (e.g., button click).
Recommended Events
| Event | Use | Key Parameters |
|---|---|---|
purchase |
E-commerce | value, currency, items |
sign_up |
Registration | method |
login |
Login | method |
search |
Site search | search_term |
view_item |
Product view | items |
add_to_cart |
Add to cart | items |
Custom Events
- Focus on 15-25 meaningful events aligned with KPIs
- Add parameters for context (e.g.,
content_type,item_id) - Avoid tracking everything; prioritize quality over quantity
Conversions (Key Events)
- Mark important events as conversions in GA4 Admin
- Use for attribution, audiences, and reporting
- Typical: purchase, sign_up, lead, contact
Attribution & Conversion Optimization
Attribution models determine how conversion credit is assigned across touchpoints. Use attribution data to optimize ads and growth channels.
| Model | Use |
|---|---|
| Data-driven (GA4 default) | ML assigns credit by actual contribution; best for multi-touch journeys |
| Last-click | 100% to final touchpoint; simple but undervalues awareness/consideration |
Optimization flow: Clean UTM (source, medium, campaign) + conversion events → GA4 attribution reports → compare channels by attributed conversions → reallocate budget to ads/channels that drive results. Inconsistent UTM fragments data; multi-touch attribution requires reliable touchpoint data.
Reference: UTM.io – UTMs for Marketing Attribution, GA4 – Get started with attribution
Testing & Validation
| Tool | Use |
|---|---|
| Realtime | See events as they fire |
| DebugView | Detailed event/parameter inspection; requires debug mode |
| GA4 Debug mode | gtag('config', 'G-XXX', { 'debug_mode': true }); or GTM preview |
- Test before launch; verify parameters and naming
- Check for duplicate events, missing values
Output Format
- Event list (name, trigger, parameters)
- Implementation notes (gtag or GTM)
- Conversion mapping
- Testing checklist
Related Skills
- traffic-analysis: UTM, source attribution; attribution for channel optimization
- ai-traffic-tracking: AI traffic in GA4
- google-search-console: GSC analysis (correlate with GA4)
- seo-monitoring: Article database, benchmark, full SEO monitoring framework
Version History
- c9d8953 Current 2026-07-05 20:04
