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marketing-analytics

// Integration with marketing analytics and measurement platforms

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stars:384
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updated:March 4, 2026
SKILL.mdreadonly
SKILL.md Frontmatter
namemarketing-analytics
descriptionIntegration with marketing analytics and measurement platforms
allowed-toolsRead,Write,Glob,Grep,Bash,WebFetch
metadata[object Object]

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

ProcessIntegration Points
attribution-modeling-setup.jsAttribution configuration
marketing-roi-analysis.jsROI measurement
marketing-dashboard-development.jsDashboard creation
customer-journey-analytics.jsJourney 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

MetricDescriptionTarget
Data AccuracyTracking accuracy>99%
Attribution CoverageTouchpoints trackedAll channels
Dashboard UtilizationActive dashboard usersHigh
Insight-to-ActionData driving decisionsRegular

Related Skills

  • SK-014: BI Dashboards (visualization)
  • SK-015: Customer Data Platform (data unification)
  • SK-019: Media Mix Modeling (MMM)