{"slug":"aitytech-analytics-attribution","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.","long_description":"---\nname: analytics-attribution\nversion: \"1.0.0\"\nbrand: AgentKits Marketing by AityTech\ncategory: core\ndifficulty: advanced\ndescription: Performance measurement, attribution modeling, and marketing ROI analysis. Use when setting up tracking, analyzing campaign performance, building attribution models, or creating marketing reports.\ntriggers:\n  - analytics\n  - attribution\n  - tracking\n  - ROI\n  - CAC\n  - LTV\n  - dashboard\n  - reporting\n  - conversion tracking\n  - marketing metrics\nprerequisites:\n  - marketing-fundamentals\nrelated_skills:\n  - ab-test-setup\n  - paid-advertising\nagents:\n  - project-manager\n  - researcher\nmcp_integrations:\n  optional:\n    - google-analytics\n    - google-search-console\nsuccess_metrics:\n  - tracking_accuracy\n  - attribution_confidence\n---\n\n# Analytics & Attribution\n\nPerformance measurement and attribution modeling for data-driven marketing decisions.\n\n## Language & Quality Standards\n\n**CRITICAL**: Respond in the same language the user is using. If Vietnamese, respond in Vietnamese. If Spanish, respond in Spanish.\n\n**Standards**: Token efficiency, sacrifice grammar for concision, list unresolved questions at end.\n\n---\n\n## When to Use This Skill\n\nApply analytics expertise when:\n- Setting up marketing tracking and measurement\n- Analyzing campaign or channel performance\n- Building attribution models\n- Creating dashboards and reports\n- Calculating marketing ROI and CAC/LTV\n- Troubleshooting data discrepancies\n\n## Core Concepts\n\n### Analytics Framework\n\n**Dimensions** (What you're measuring by):\n- Channel, campaign, source/medium\n- Device, geography, time period\n- Audience segment, persona\n- Content type, landing page\n\n**Metrics** (What you're measuring):\n- Traffic: Sessions, users, pageviews\n- Engagement: Time on site, bounce rate, pages/session\n- Conversion: Goal completions, conversion rate\n- Revenue: Transaction value, ROAS, ROI\n- Cost: CPC, CPL, CAC\n\n### Key Marketing Reports\n\n| Report | Questions Answered | Frequency |\n|--------|-------------------|-----------|\n| Acquisition | Where do visitors come from? | Weekly |\n| Behavior | What do they do on site? | Weekly |\n| Conversion | Do they complete goals? | Daily |\n| Attribution | What drove the conversion? | Monthly |\n| Funnel | Where do they drop off? | Weekly |\n| Cohort | How do segments perform over time? | Monthly |\n\n### Attribution Models\n\n| Model | Credit Distribution | Best For |\n|-------|-------------------|----------|\n| Last Click | 100% to final touchpoint | Short cycles, direct response |\n| First Click | 100% to first touchpoint | Brand awareness, TOFU |\n| Linear | Equal across all | Understanding full journey |\n| Time Decay | More to recent touches | Long sales cycles |\n| Position-Based | 40/20/40 first-mid-last | Balanced view |\n| Data-Driven | ML-based distribution | High volume, mature programs |\n\n### Marketing KPIs by Funnel Stage\n\n**TOFU (Awareness)**\n- Impressions, reach, traffic\n- CPM, cost per visitor\n- Brand search volume\n\n**MOFU (Consideration)**\n- Leads, MQLs, engagement\n- CPL, cost per MQL\n- Content downloads, webinar registrations\n\n**BOFU (Decision)**\n- SQLs, opportunities, customers\n- CAC, cost per opportunity\n- Demo requests, trial signups\n\n**Retention**\n- NPS, retention rate, churn\n- LTV, expansion revenue\n- Referrals, advocacy\n\n## Best Practices\n\n### Setup Excellence\n1. **UTM Discipline**: Consistent naming convention across all campaigns\n2. **Goal Hierarchy**: Primary conversions > secondary > micro-conversions\n3. **Cross-Domain Tracking**: Proper setup for checkout/payment flows\n4. **Event Taxonomy**: Clear naming for custom events\n\n### Reporting Excellence\n1. **Context Always**: Never report numbers without comparison (vs target, vs previous)\n2. **Action-Oriented**: Every insight should suggest an action\n3. **Visualization**: Use appropriate chart types (trends=line, comparison=bar)\n4. **Segmentation**: Break down by meaningful dimensions\n\n### Attribution Excellence\n1. **Window Matching**: Attribution window matches sales cycle\n2. **Model Selection**: Choose model based on marketing maturity\n3. **Multi-Touch Visibility**: Track full journey, not just last touch\n4. **Offline Integration**: Include phone, events, direct sales\n\n## Agent Integration\n\n| Agent | How They Use This Skill |\n|-------|------------------------|\n| `researcher` | Compiling performance data, competitive benchmarks |\n| `lead-qualifier` | Funnel conversion analysis, lead source quality |\n| `planner` | Budget allocation based on channel ROI |\n| `project-manager` | Campaign performance tracking |\n\n## Anti-Patterns to Avoid\n\n| Anti-Pattern | Why It's Wrong | Do This Instead |\n|--------------|----------------|-----------------|\n| Vanity metrics only | Impressions ≠ impact | Focus on conversion metrics |\n| Last-click bias | Ignores awareness touchpoints | Use multi-touch attribution |\n| No control groups | Can't prove causation | A/B test when possible |\n| Siloed data | Missing full picture | Integrate CRM + analytics |\n| Report without action | Wastes time and attention | Include recommendations |\n\n## Workflow Integration\n\n- `crm-workflow.md` - Lead stage definitions, scoring thresholds\n- `sales-workflow.md` - SQL criteria, deal velocity metrics\n\n## Related Commands\n\n- `/report/weekly` - Weekly performance report\n- `/report/monthly` - Monthly strategic report\n- `/checklist/analytics-monthly` - Monthly analytics review\n- `/analytics/roi` - Campaign ROI calculation\n- `/analytics/funnel` - Funnel performance analysis\n\n## References\n\n- `references/google-analytics.md` - GA4 setup and usage\n- `references/search-console.md` - SEO performance tracking\n- `references/attribution-models.md` - Attribution deep dive\n- `references/dashboards.md` - Reporting best practices\n- `references/reporting-templates.md` - Client-ready report templates\n","tagline":"Performance measurement, attribution modeling, and marketing ROI analysis. 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Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"analytics-attribution\" as a Claude Code skill from https://github.com/aitytech/agentkits-marketing/tree/main/skills/analytics-attribution. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Performance measurement, attribution modeling, and marketing ROI analysis. Use when setting up tracking, analyzing campaign performance, building attribution models, or creating marketing reports. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"aitytech-analytics-attribution\",\"task\":\"Install analytics-attribution\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"analytics-attribution\" from https://github.com/aitytech/agentkits-marketing/tree/main/skills/analytics-attribution into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Performance measurement, attribution modeling, and marketing ROI analysis. Use when setting up tracking, analyzing campaign performance, building attribution models, or creating marketing reports. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"aitytech-analytics-attribution\",\"task\":\"Install analytics-attribution\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. 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Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"analytics-attribution\" as a Claude Code skill from https://github.com/aitytech/agentkits-marketing/tree/main/skills/analytics-attribution. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Performance measurement, attribution modeling, and marketing ROI analysis. Use when setting up tracking, analyzing campaign performance, building attribution models, or creating marketing reports. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"aitytech-analytics-attribution\",\"task\":\"Install analytics-attribution\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"analytics-attribution\" from https://github.com/aitytech/agentkits-marketing/tree/main/skills/analytics-attribution into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Performance measurement, attribution modeling, and marketing ROI analysis. Use when setting up tracking, analyzing campaign performance, building attribution models, or creating marketing reports. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"aitytech-analytics-attribution\",\"task\":\"Install analytics-attribution\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. 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notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/aitytech-analytics-attribution","api":"https://www.openagentskill.com/api/agent/skills/aitytech-analytics-attribution","audit":"https://www.openagentskill.com/skills/aitytech-analytics-attribution/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=aitytech-analytics-attribution&task=Use%20analytics-attribution%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20analytics-attribution%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20analytics-attribution%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/aitytech-analytics-attribution/install","manifest":"https://www.openagentskill.com/api/registry/manifest/aitytech-analytics-attribution"}},"supply_profile":{"track":{"slug":"marketing","label":"Marketing and growth automation","shortLabel":"Marketing","description":"SEO, content operations, lead generation, CRM, email automation, analytics, and growth workflows."},"scenario":{"label":"Marketing and growth","description":"I need my agent to research keywords, improve SEO, analyze growth channels, and prepare marketing workflows.","useCases":[{"slug":"research-agents","title":"Research agents"},{"slug":"data-analysis","title":"Data analysis"},{"slug":"marketing-growth","title":"Marketing and growth"}]},"applicableAgents":["Claude Code","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx skills add aitytech/agentkits-marketing --skill analytics-attribution","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":596,"starsLabel":"596","forks":77,"license":"MIT","qualityScore":74,"trustScore":71,"auditScore":79},"maintenance":{"status":"fresh","label":"8d since push","daysSincePush":8,"lastPushedAt":"2026-08-28T23:18:30+00:00"},"risk":{"level":"needs_review","label":"Needs review","requiresReview":true,"notes":["SKILL.md lacks an explicit step-by-step workflow describing the expected process from input to output.","No limitations section documents edge cases, data quality caveats, or situations where the skill should not be used.","The success metrics are named but not defined with concrete measurement criteria.","Quality score needs review","Needs review"]},"coverageTags":["Marketing","Marketing and growth","core","agent-skill"]},"audit":{"audit_score":79,"risk_level":"needs_review","risk_label":"Needs review","quality_score":74,"trust_score":71,"maintenance_score":100,"security_score":77,"install_score":92,"warnings":["SKILL.md lacks an explicit step-by-step workflow describing the expected process from input to output.","No limitations section documents edge cases, data quality caveats, or situations where the skill should not be used.","The success metrics are named but not defined with concrete measurement criteria.","Quality score needs review"]},"quality_signals":{"model":"v2","star_score":19.43,"usage_score":0,"review_score":4.8,"metadata_score":3,"freshness_score":15},"platforms":["Claude Code"],"use_cases":[{"slug":"research-agents","title":"Research agents","url":"https://www.openagentskill.com/use-cases/research-agents"},{"slug":"data-analysis","title":"Data analysis","url":"https://www.openagentskill.com/use-cases/data-analysis"},{"slug":"marketing-growth","title":"Marketing and growth","url":"https://www.openagentskill.com/use-cases/marketing-growth"},{"slug":"browser-automation","title":"Browser automation","url":"https://www.openagentskill.com/use-cases/browser-automation"}],"stacks":[{"slug":"research-report-agent","title":"Research report agent","url":"https://www.openagentskill.com/collections/research-report-agent"},{"slug":"browser-qa-agent","title":"Browser QA agent","url":"https://www.openagentskill.com/collections/browser-qa-agent"},{"slug":"content-growth-agent","title":"Content growth agent","url":"https://www.openagentskill.com/collections/content-growth-agent"}],"install":"npx skills add aitytech/agentkits-marketing --skill analytics-attribution","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add aitytech-analytics-attribution","description":"Resolve policy, run the source installer safely, and report a verified install receipt.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"analytics-attribution\" agent skill from https://github.com/aitytech/agentkits-marketing/tree/main/skills/analytics-attribution. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Performance measurement, attribution modeling, and marketing ROI analysis. Use when setting up tracking, analyzing campaign performance, building attribution models, or creating marketing reports. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"aitytech-analytics-attribution\",\"task\":\"Install analytics-attribution\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"analytics-attribution\" as a Claude Code skill from https://github.com/aitytech/agentkits-marketing/tree/main/skills/analytics-attribution. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Performance measurement, attribution modeling, and marketing ROI analysis. Use when setting up tracking, analyzing campaign performance, building attribution models, or creating marketing reports. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"aitytech-analytics-attribution\",\"task\":\"Install analytics-attribution\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"analytics-attribution\" from https://github.com/aitytech/agentkits-marketing/tree/main/skills/analytics-attribution into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Performance measurement, attribution modeling, and marketing ROI analysis. Use when setting up tracking, analyzing campaign performance, building attribution models, or creating marketing reports. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"aitytech-analytics-attribution\",\"task\":\"Install analytics-attribution\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/aitytech/agentkits-marketing/tree/main/skills/analytics-attribution","github_repo":"aitytech/agentkits-marketing","version":"1.0.0","license":"MIT","urls":{"web":"https://www.openagentskill.com/skills/aitytech-analytics-attribution","repository":"https://github.com/aitytech/agentkits-marketing/tree/main/skills/analytics-attribution","api":"/api/agent/skills/aitytech-analytics-attribution","install_api":"/api/skills/aitytech-analytics-attribution/install"},"meta":{"created_at":"2026-09-05T10:33:00.454578+00:00","updated_at":"2026-09-05T10:33:02.523464+00:00","agent_friendly":true}}