Creator · aitytech
Last updated · Sep 5, 2026
Performance measurement, attribution modeling, and marketing ROI analysis. Use when setting up tracking, analyzing campaign performance, building attribution models, or creating marketing reports.
Creator · aitytech
Last updated · Sep 5, 2026
Performance measurement, attribution modeling, and marketing ROI analysis. Use when setting up tracking, analyzing campaign performance, building attribution models, or creating marketing reports.
Creator · aitytech
Last updated · Sep 5, 2026
Performance measurement, attribution modeling, and marketing ROI analysis. Use when setting up tracking, analyzing campaign performance, building attribution models, or creating marketing reports.
Creator · aitytech
Last updated · Sep 5, 2026
Performance measurement, attribution modeling, and marketing ROI analysis. Use when setting up tracking, analyzing campaign performance, building attribution models, or creating marketing reports.
Sandbox only
Install targets
Codex install prompt
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.Supply asset profile
SEO, content operations, lead generation, CRM, email automation, analytics, and growth workflows.
Scenario
Marketing and growth
I need my agent to research keywords, improve SEO, analyze growth channels, and prepare marketing workflows.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add aitytech/agentkits-marketing --skill analytics-attribution
Maintenance
fresh
8d since push
Risk
Needs review
SKILL.md lacks an explicit step-by-step workflow describing the expected process from input to output.
GitHub quality
596
74/100 Quality · 71/100 Trust
Coverage tags
Review 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.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
596 GitHub stars
Repo activity
596 stars, 77 forks
Maintenance
8d since push
License
MIT
Install
npx skills add aitytech/agentkits-marketing --skill analytics-attribution
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add aitytech/agentkits-marketing --skill analytics-attributionDo not use when
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
medium
Skill may inspect schemas, query databases, or work with persistent stores.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20analytics-attribution%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20analytics-attribution%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/aitytech-analytics-attribution/install
Agent should check
Copy prompt
Task: Use analytics-attribution in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20analytics-attribution%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/aitytech-analytics-attribution/install
Install command: npx skills add aitytech/agentkits-marketing --skill analytics-attribution
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/aitytech-analytics-attribution/install
LLM text format
/api/skills/aitytech-analytics-attribution/install?format=text
Find alternatives
/api/skills/search?q=analytics-attribution&limit=3
Agent prompt
Use analytics-attribution for this task. Review https://www.openagentskill.com/api/skills/aitytech-analytics-attribution/install, then install with: npx skills add aitytech/agentkits-marketing --skill analytics-attributionRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/aitytech-analytics-attribution
LLM text
/api/registry/manifest/aitytech-analytics-attribution?format=text
Install alias
/api/registry/install/aitytech-analytics-attribution
Recommend
/api/registry/recommend?task=Use%20analytics-attribution%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Research agents
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO596 GitHub stars
Stars/forks activity
INFO596 stars, 77 forks; issue activity unavailable in current metadata
Recent maintenance
PASS8d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Analyze datasets
I need my agent to analyze CSV data, produce insights, and explain trends.
Grow distribution
I need my agent to research keywords, improve SEO, analyze growth channels, and prepare marketing workflows.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
--- 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.
---
## 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
Source provenance
Decision snapshot
596 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for analytics-attribution, ready for a manual X post.
A practical pick for market research: analytics-attribution: Performance measurement, attribution modeling, and marketing ROI analysis. Use when setting up tracking, analyzing campaign... 596 stars https://www.openagentskill.com/skills/aitytech-analytics-attribution?ref=x
Listing + install path for analytics-attribution: https://www.openagentskill.com/skills/aitytech-analytics-attribution?ref=x Install: npx skills add aitytech/agentkits-marketing --skill analytics-attribution
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to aitytech but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/aitytech-analytics-attribution?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/aitytech-analytics-attribution?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/aitytech-analytics-attribution/audit)
[](https://www.openagentskill.com/skills/aitytech-analytics-attribution?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)aitytech
@aitytech
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
Sandbox only
Install targets
Codex install prompt
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.Supply asset profile
SEO, content operations, lead generation, CRM, email automation, analytics, and growth workflows.
Scenario
Marketing and growth
I need my agent to research keywords, improve SEO, analyze growth channels, and prepare marketing workflows.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add aitytech/agentkits-marketing --skill analytics-attribution
Maintenance
fresh
8d since push
Risk
Needs review
SKILL.md lacks an explicit step-by-step workflow describing the expected process from input to output.
GitHub quality
596
74/100 Quality · 71/100 Trust
Coverage tags
Review 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.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
596 GitHub stars
Repo activity
596 stars, 77 forks
Maintenance
8d since push
License
MIT
Install
npx skills add aitytech/agentkits-marketing --skill analytics-attribution
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add aitytech/agentkits-marketing --skill analytics-attributionDo not use when
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
medium
Skill may inspect schemas, query databases, or work with persistent stores.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20analytics-attribution%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20analytics-attribution%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/aitytech-analytics-attribution/install
Agent should check
Copy prompt
Task: Use analytics-attribution in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20analytics-attribution%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/aitytech-analytics-attribution/install
Install command: npx skills add aitytech/agentkits-marketing --skill analytics-attribution
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/aitytech-analytics-attribution/install
LLM text format
/api/skills/aitytech-analytics-attribution/install?format=text
Find alternatives
/api/skills/search?q=analytics-attribution&limit=3
Agent prompt
Use analytics-attribution for this task. Review https://www.openagentskill.com/api/skills/aitytech-analytics-attribution/install, then install with: npx skills add aitytech/agentkits-marketing --skill analytics-attributionRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/aitytech-analytics-attribution
LLM text
/api/registry/manifest/aitytech-analytics-attribution?format=text
Install alias
/api/registry/install/aitytech-analytics-attribution
Recommend
/api/registry/recommend?task=Use%20analytics-attribution%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Research agents
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO596 GitHub stars
Stars/forks activity
INFO596 stars, 77 forks; issue activity unavailable in current metadata
Recent maintenance
PASS8d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Analyze datasets
I need my agent to analyze CSV data, produce insights, and explain trends.
Grow distribution
I need my agent to research keywords, improve SEO, analyze growth channels, and prepare marketing workflows.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
--- 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.
---
## 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
Source provenance
Decision snapshot
596 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for analytics-attribution, ready for a manual X post.
A practical pick for market research: analytics-attribution: Performance measurement, attribution modeling, and marketing ROI analysis. Use when setting up tracking, analyzing campaign... 596 stars https://www.openagentskill.com/skills/aitytech-analytics-attribution?ref=x
Listing + install path for analytics-attribution: https://www.openagentskill.com/skills/aitytech-analytics-attribution?ref=x Install: npx skills add aitytech/agentkits-marketing --skill analytics-attribution
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to aitytech but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/aitytech-analytics-attribution?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/aitytech-analytics-attribution?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/aitytech-analytics-attribution/audit)
[](https://www.openagentskill.com/skills/aitytech-analytics-attribution?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)aitytech
@aitytech
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
Sandbox only
Install targets
Codex install prompt
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.Supply asset profile
SEO, content operations, lead generation, CRM, email automation, analytics, and growth workflows.
Scenario
Marketing and growth
I need my agent to research keywords, improve SEO, analyze growth channels, and prepare marketing workflows.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add aitytech/agentkits-marketing --skill analytics-attribution
Maintenance
fresh
8d since push
Risk
Needs review
SKILL.md lacks an explicit step-by-step workflow describing the expected process from input to output.
GitHub quality
596
74/100 Quality · 71/100 Trust
Coverage tags
Review 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.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
596 GitHub stars
Repo activity
596 stars, 77 forks
Maintenance
8d since push
License
MIT
Install
npx skills add aitytech/agentkits-marketing --skill analytics-attribution
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add aitytech/agentkits-marketing --skill analytics-attributionDo not use when
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
medium
Skill may inspect schemas, query databases, or work with persistent stores.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20analytics-attribution%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20analytics-attribution%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/aitytech-analytics-attribution/install
Agent should check
Copy prompt
Task: Use analytics-attribution in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20analytics-attribution%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/aitytech-analytics-attribution/install
Install command: npx skills add aitytech/agentkits-marketing --skill analytics-attribution
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/aitytech-analytics-attribution/install
LLM text format
/api/skills/aitytech-analytics-attribution/install?format=text
Find alternatives
/api/skills/search?q=analytics-attribution&limit=3
Agent prompt
Use analytics-attribution for this task. Review https://www.openagentskill.com/api/skills/aitytech-analytics-attribution/install, then install with: npx skills add aitytech/agentkits-marketing --skill analytics-attributionRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/aitytech-analytics-attribution
LLM text
/api/registry/manifest/aitytech-analytics-attribution?format=text
Install alias
/api/registry/install/aitytech-analytics-attribution
Recommend
/api/registry/recommend?task=Use%20analytics-attribution%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Research agents
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO596 GitHub stars
Stars/forks activity
INFO596 stars, 77 forks; issue activity unavailable in current metadata
Recent maintenance
PASS8d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Analyze datasets
I need my agent to analyze CSV data, produce insights, and explain trends.
Grow distribution
I need my agent to research keywords, improve SEO, analyze growth channels, and prepare marketing workflows.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
--- 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.
---
## 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
Source provenance
Decision snapshot
596 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for analytics-attribution, ready for a manual X post.
A practical pick for market research: analytics-attribution: Performance measurement, attribution modeling, and marketing ROI analysis. Use when setting up tracking, analyzing campaign... 596 stars https://www.openagentskill.com/skills/aitytech-analytics-attribution?ref=x
Listing + install path for analytics-attribution: https://www.openagentskill.com/skills/aitytech-analytics-attribution?ref=x Install: npx skills add aitytech/agentkits-marketing --skill analytics-attribution
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to aitytech but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/aitytech-analytics-attribution?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/aitytech-analytics-attribution?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/aitytech-analytics-attribution/audit)
[](https://www.openagentskill.com/skills/aitytech-analytics-attribution?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)aitytech
@aitytech
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
Sandbox only
Install targets
Codex install prompt
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.Supply asset profile
SEO, content operations, lead generation, CRM, email automation, analytics, and growth workflows.
Scenario
Marketing and growth
I need my agent to research keywords, improve SEO, analyze growth channels, and prepare marketing workflows.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add aitytech/agentkits-marketing --skill analytics-attribution
Maintenance
fresh
8d since push
Risk
Needs review
SKILL.md lacks an explicit step-by-step workflow describing the expected process from input to output.
GitHub quality
596
74/100 Quality · 71/100 Trust
Coverage tags
Review 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.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
596 GitHub stars
Repo activity
596 stars, 77 forks
Maintenance
8d since push
License
MIT
Install
npx skills add aitytech/agentkits-marketing --skill analytics-attribution
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add aitytech/agentkits-marketing --skill analytics-attributionDo not use when
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
medium
Skill may inspect schemas, query databases, or work with persistent stores.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20analytics-attribution%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20analytics-attribution%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/aitytech-analytics-attribution/install
Agent should check
Copy prompt
Task: Use analytics-attribution in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20analytics-attribution%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/aitytech-analytics-attribution/install
Install command: npx skills add aitytech/agentkits-marketing --skill analytics-attribution
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/aitytech-analytics-attribution/install
LLM text format
/api/skills/aitytech-analytics-attribution/install?format=text
Find alternatives
/api/skills/search?q=analytics-attribution&limit=3
Agent prompt
Use analytics-attribution for this task. Review https://www.openagentskill.com/api/skills/aitytech-analytics-attribution/install, then install with: npx skills add aitytech/agentkits-marketing --skill analytics-attributionRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/aitytech-analytics-attribution
LLM text
/api/registry/manifest/aitytech-analytics-attribution?format=text
Install alias
/api/registry/install/aitytech-analytics-attribution
Recommend
/api/registry/recommend?task=Use%20analytics-attribution%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Research agents
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO596 GitHub stars
Stars/forks activity
INFO596 stars, 77 forks; issue activity unavailable in current metadata
Recent maintenance
PASS8d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Analyze datasets
I need my agent to analyze CSV data, produce insights, and explain trends.
Grow distribution
I need my agent to research keywords, improve SEO, analyze growth channels, and prepare marketing workflows.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
--- 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.
---
## 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
Source provenance
Decision snapshot
596 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for analytics-attribution, ready for a manual X post.
A practical pick for market research: analytics-attribution: Performance measurement, attribution modeling, and marketing ROI analysis. Use when setting up tracking, analyzing campaign... 596 stars https://www.openagentskill.com/skills/aitytech-analytics-attribution?ref=x
Listing + install path for analytics-attribution: https://www.openagentskill.com/skills/aitytech-analytics-attribution?ref=x Install: npx skills add aitytech/agentkits-marketing --skill analytics-attribution
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to aitytech but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/aitytech-analytics-attribution?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/aitytech-analytics-attribution?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/aitytech-analytics-attribution/audit)
[](https://www.openagentskill.com/skills/aitytech-analytics-attribution?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)aitytech
@aitytech
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
Permission surface
secrets or environment access, database access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
secrets or environment access, database access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
secrets or environment access, database access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
secrets or environment access, database access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness