Best use case
marketing-analytics is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Integration with marketing analytics and measurement platforms
Teams using marketing-analytics should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/marketing-analytics/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How marketing-analytics Compares
| Feature / Agent | marketing-analytics | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Integration with marketing analytics and measurement platforms
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
AI Agents for Marketing
Discover AI agents for marketing workflows, from SEO and content production to campaign research, outreach, and analytics.
Best AI Agents for Marketing
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SKILL.md Source
# Marketing Analytics Platform Skill
## Overview
The Marketing Analytics Platform skill provides integration with marketing analytics and measurement platforms. This skill enables comprehensive marketing measurement, attribution modeling, and data-driven optimization.
## Capabilities
### Web Analytics
- Google Analytics 4 implementation
- Adobe Analytics configuration
- Event tracking setup
- Conversion tracking
- User journey analysis
### Product Analytics
- Mixpanel event tracking
- Amplitude product analytics
- Feature usage analysis
- User behavior tracking
- Retention analysis
### Attribution and Measurement
- Custom attribution modeling
- Multi-touch attribution
- Incrementality testing design
- Cohort analysis
- Customer lifetime value calculation
### Advanced Analytics
- Marketing mix modeling (MMM)
- Predictive modeling
- Propensity scoring
- Churn prediction
- Revenue forecasting
## Usage
### Analytics Configuration
```javascript
const analyticsConfig = {
platforms: {
web: {
platform: 'GA4',
propertyId: 'G-XXXXXXXXXX',
tracking: {
pageviews: true,
scrollDepth: true,
videoEngagement: true,
downloads: true
},
conversions: [
'lead_form_submission',
'demo_request',
'purchase_complete',
'trial_start'
],
audiences: [
'high_intent_visitors',
'trial_users',
'engaged_blog_readers'
]
},
product: {
platform: 'Mixpanel',
events: [
'feature_activated',
'onboarding_completed',
'subscription_upgraded'
],
userProperties: [
'plan_type',
'company_size',
'activation_date'
]
}
},
attribution: {
model: 'data-driven',
lookbackWindow: '90-days',
touchpoints: ['organic', 'paid', 'email', 'social', 'direct']
},
reporting: {
dashboards: ['executive', 'channel-performance', 'conversion-funnel'],
frequency: ['daily', 'weekly', 'monthly']
}
};
```
## Process Integration
| Process | Integration Points |
|---------|-------------------|
| attribution-modeling-setup.js | Attribution configuration |
| marketing-roi-analysis.js | ROI measurement |
| marketing-dashboard-development.js | Dashboard creation |
| customer-journey-analytics.js | Journey analysis |
## Best Practices
1. **Data Quality First**: Ensure accurate tracking implementation
2. **Business Alignment**: Connect metrics to business outcomes
3. **Attribution Transparency**: Understand model limitations
4. **Privacy Compliance**: Respect user consent and privacy
5. **Continuous Optimization**: Use data to drive improvement
## Metrics and KPIs
| Metric | Description | Target |
|--------|-------------|--------|
| Data Accuracy | Tracking accuracy | >99% |
| Attribution Coverage | Touchpoints tracked | All channels |
| Dashboard Utilization | Active dashboard users | High |
| Insight-to-Action | Data driving decisions | Regular |
## Related Skills
- SK-014: BI Dashboards (visualization)
- SK-015: Customer Data Platform (data unification)
- SK-019: Media Mix Modeling (MMM)Related Skills
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