Babysitter marketing-analytics

Integration with marketing analytics and measurement platforms

install

source · Clone the upstream repo

git clone https://github.com/a5c-ai/babysitter

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/domains/business/marketing/skills/marketing-analytics" ~/.claude/skills/a5c-ai-babysitter-marketing-analytics && rm -rf "$T"

manifest: library/specializations/domains/business/marketing/skills/marketing-analytics/SKILL.md

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

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

Data Quality First: Ensure accurate tracking implementation
Business Alignment: Connect metrics to business outcomes
Attribution Transparency: Understand model limitations
Privacy Compliance: Respect user consent and privacy
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)