marketing-analytics

Integration with marketing analytics and measurement platforms

509 stars

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

$curl -o ~/.claude/skills/marketing-analytics/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/domains/business/marketing/skills/marketing-analytics/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/marketing-analytics/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How marketing-analytics Compares

Feature / Agentmarketing-analyticsStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/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

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)

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