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.
Best use case
analytics-attribution is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Performance measurement, attribution modeling, and marketing ROI analysis. Use when setting up tracking, analyzing campaign performance, building attribution models, or creating marketing reports.
Teams using analytics-attribution should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/analytics-attribution/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How analytics-attribution Compares
| Feature / Agent | analytics-attribution | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Performance measurement, attribution modeling, and marketing ROI analysis. Use when setting up tracking, analyzing campaign performance, building attribution models, or creating marketing reports.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
AI Agents for Marketing
Discover AI agents for marketing workflows, from SEO and content production to campaign research, outreach, and analytics.
Best AI Agents for Marketing
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SKILL.md Source
# 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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