analytics-attribution
Performance measurement, attribution modeling, and marketing ROI analysis. Use when setting up tracking, analyzing campaign performance, building attribution models, or creating marketing reports.
Works with
--- name: analytics-attribution description: Performance measurement, attribution modeling, and marketing ROI analysis. Use when setting up tracking, analyzing campaign performance, building attribution models, or creating marketing reports. license: MIT --- # Analytics & Attribution Performance measurement and attribution modeling for data-driven marketing decisions. ## Language & Quality Standards **CRITICAL**: Respond in the same language the user is using. If Vietnamese, respond in Vietnamese. If Spanish, respond in Spanish. **Standards**: Token efficiency, sacrifice grammar for concision, list unresolved questions at end. --- ## When to Use This Skill Apply analytics expertise when: - Setting up marketing tracking and measurement - Analyzing campaign or channel performance - Building attribution models - Creating dashboards and reports - Calculating marketing ROI and CAC/LTV - Troubleshooting data discrepancies ## Core Concepts ### Analytics Framework **Dimensions** (What you're measuring by): - Channel, campaign, source/medium - Device, geography, time period - Audience segment, persona - Content type, landing page **Metrics** (What you're measuring): - Traffic: Sessions, users, pageviews - Engagement: Time on site, bounce rate, pages/session - Conversion: Goal completions, conversion rate - Revenue: Transaction value, ROAS, ROI - Cost: CPC, CPL, CAC ### Key Marketing Reports | Report | Questions Answered | Frequency | |--------|-------------------|-----------| | Acquisition | Where do visitors come from? | Weekly | | Behavior | What do they do on site? | Weekly | | Conversion | Do they complete goals? | Daily | | Attribution | What drove the conversion? | Monthly | | Funnel | Where do they drop off? | Weekly | | Cohort | How do segments perform over time? | Monthly | ### Attribution Models | Model | Credit Distribution | Best For | |-------|-------------------|----------| | Last Click | 100% to final touchpoint | Short cycles, direct response | | First Click | 100% to first touchpoint | Brand awareness, TOFU | | Linear | Equal across all | Understanding full journey | | Time Decay | More to recent touches | Long sales cycles | | Position-Based | 40/20/40 first-mid-last | Balanced view | | Data-Driven | ML-based distribution | High volume, mature programs | ### Marketing KPIs by Funnel Stage **TOFU (Awareness)** - Impressions, reach, traffic - CPM, cost per visitor - Brand search volume **MOFU (Consideration)** - Leads, MQLs, engagement - CPL, cost per MQL - Content downloads, webinar registrations **BOFU (Decision)** - SQLs, opportunities, customers - CAC, cost per opportunity - Demo requests, trial signups **Retention** - NPS, retention rate, churn - LTV, expansion revenue - Referrals, advocacy ## Best Practices ### Setup Excellence 1. **UTM Discipline**: Consistent naming convention across all campaigns 2. **Goal Hierarchy**: Primary conversions > secondary > micro-conversions 3. **Cross-Domain Tracking**: Proper setup for checkout/payment flows 4. **Event Taxonomy**: Clear naming for custom events ### Reporting Excellence 1. **Context Always**: Never report numbers without comparison (vs target, vs previous) 2. **Action-Oriented**: Every insight should suggest an action 3. **Visualization**: Use appropriate chart types (trends=line, comparison=bar) 4. **Segmentation**: Break down by meaningful dimensions ### Attribution Excellence 1. **Window Matching**: Attribution window matches sales cycle 2. **Model Selection**: Choose model based on marketing maturity 3. **Multi-Touch Visibility**: Track full journey, not just last touch 4. **Offline Integration**: Include phone, events, direct sales ## Agent Integration | Agent | How They Use This Skill | |-------|------------------------| | `researcher` | Compiling performance data, competitive benchmarks | | `lead-qualifier` | Funnel conversion analysis, lead source quality | | `planner` | Budget allocation based on channel ROI | | `project-manager` | Campaign performance tracking | ## Anti-Patterns to Avoid | Anti-Pattern | Why It's Wrong | Do This Instead | |--------------|----------------|-----------------| | Vanity metrics only | Impressions ≠ impact | Focus on conversion metrics | | Last-click bias | Ignores awareness touchpoints | Use multi-touch attribution | | No control groups | Can't prove causation | A/B test when possible | | Siloed data | Missing full picture | Integrate CRM + analytics | | Report without action | Wastes time and attention | Include recommendations | ## Workflow Integration - `crm-workflow.md` - Lead stage definitions, scoring thresholds - `sales-workflow.md` - SQL criteria, deal velocity metrics ## Related Commands - `/report/weekly` - Weekly performance report - `/report/monthly` - Monthly strategic report - `/checklist/analytics-monthly` - Monthly analytics review - `/analytics/roi` - Campaign ROI calculation - `/analytics/funnel` - Funnel performance analysis ## References - `references/google-analytics.md` - GA4 setup and usage - `references/search-console.md` - SEO performance tracking - `references/attribution-models.md` - Attribution deep dive - `references/dashboards.md` - Reporting best practices - `references/reporting-templates.md` - Client-ready report templates
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