analytics-attribution

name	analytics-attribution
version	1.0.0
brand	AgentKits Marketing by AityTech
category	core
difficulty	advanced
description	Performance measurement, attribution modeling, and marketing ROI analysis. Use when setting up tracking, analyzing campaign performance, building attribution models, or creating marketing reports.
triggers	["analytics","attribution","tracking","ROI","CAC","LTV","dashboard","reporting","conversion tracking","marketing metrics"]
prerequisites	["marketing-fundamentals"]
related_skills	["ab-test-setup","paid-advertising"]
agents	["project-manager","researcher"]
mcp_integrations	{"optional":["google-analytics","google-search-console"]}
success_metrics	["tracking_accuracy","attribution_confidence"]

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.

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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