About analytics-attribution
A marketing analytics skill for marketing teams and analysts, covering channel performance, attribution, ROI, and funnel reporting. It emphasizes choosing measures and attribution approaches for business goals, then turning findings into actionable recommendations.
Key features
- 01Marketing metric and dimension analysis
- 02Guidance on multiple attribution models
- 03Funnel and cohort report planning
- 04ROI, CAC, and LTV calculations
- 05Analytics setup and reporting practices
Use cases
- 01Compare channel and campaign performance
- 02Choose an attribution model for a sales cycle
- 03Find drop-off points in conversion funnels
- 04Assess marketing spend against customer value
Install
Copy the command and run it in a terminal.
$
npx skills add https:/After installing, type/analytics-attributionin Claude Code to confirm it loaded.
Bundled files
References and scripts installed along with SKILL.md.
references/attribution-models.mddashboards.mdga4-implementation-guide.mdgoogle-analytics.mdreporting-templates.mdsearch-console.mdDetails
From the project READMEAnalytics & 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
- UTM Discipline: Consistent naming convention across all campaigns
- Goal Hierarchy: Primary conversions > secondary > micro-conversions
- Cross-Domain Tracking: Proper setup for checkout/payment flows
- Event Taxonomy: Clear naming for custom events
Reporting Excellence
- Context Always: Never report numbers without comparison (vs target, vs previous)
- Action-Oriented: Every insight should suggest an action
- Visualization: Use appropriate chart types (trends=line, comparison=bar)
- Segmentation: Break down by meaningful dimensions
Attribution Excellence
- Window Matching: Attribution window matches sales cycle
- Model Selection: Choose model based on marketing maturity
- Multi-Touch Visibility: Track full journey, not just last touch
- 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 thresholdssales-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 usagereferences/search-console.md- SEO performance trackingreferences/attribution-models.md- Attribution deep divereferences/dashboards.md- Reporting best practicesreferences/reporting-templates.md- Client-ready report templates
Comments
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