analytics
Activate for marketing analytics, KPI tracking, reporting dashboards, attribution analysis, and performance optimization. Use when analyzing campaign data, creating reports, or measuring marketing ROI.
Quellinformationen
- Repository
- LongLeo287/SEOSONA-OS
- Letzte Quellaktivität
- 4. August 2026 um 05:01
- Erkannte Sprache von SKILL.md
- Englisch
- Sterne
- 2
- Forks
- 1
Installationsoptionen
Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.
Quelldateien prüfen
Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.
Datei-Explorer
12 DateienSKILL.md wird angezeigt
SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau- name
- analytics
- description
- Activate for marketing analytics, KPI tracking, reporting dashboards, attribution analysis, and performance optimization. Use when analyzing campaign data, creating reports, or measuring marketing ROI.
- argument-hint
- [metric or report-type]
- license
- MIT
- metadata
- {"author":"claudekit","version":"1.0.0"}
# Marketing Analytics
Performance measurement, reporting, and data-driven optimization.
## When to Use
- Campaign performance analysis
- KPI dashboard creation
- Attribution modeling
- ROI calculation
- A/B test analysis
- Funnel optimization
- Report generation
## Core Capabilities
### KPI Framework
Load: `references/marketing-kpis.md`
### Reporting Templates
Load: `references/report-templates.md`
### Attribution Models
Load: `references/attribution-models.md`
### Analysis Workflows
Load: `references/analysis-workflows.md`
## Quick Reference
**Core Marketing KPIs:**
| Category | Metrics |
|----------|---------|
| Acquisition | CAC, CPL, Traffic |
| Engagement | CTR, Time on Site, Bounce |
| Conversion | CVR, ROAS, Revenue |
| Retention | LTV, Churn, NPS |
**Reporting Cadence:**
- Daily: Spend, impressions, clicks
- Weekly: Conversions, ROI by channel
- Monthly: Full funnel, trends
- Quarterly: Strategic review
## Workflow
### Campaign Analysis
1. Define success metrics
2. Pull data from sources
3. Calculate key ratios
4. Compare to benchmarks
5. Identify patterns
6. Generate insights
7. Recommend actions
### A/B Test Analysis
1. Check sample size
2. Calculate statistical significance
3. Compare conversion rates
4. Determine winner
5. Document learnings
## Report Output
**Activate:** `assets-organizing` skill for report file paths
Reports go to `assets/reports/analytics/` with naming `{date}-{report-type}.md`
**Template:** `references/report-templates.md`
Reports include:
- Mermaid.js charts (pie, bar, flowchart)
- Prioritized recommendations table
- Actionable next steps with owners
## Google Analytics 4 API
### Setup
```bash
npm install @google-analytics/admin @google-analytics/data
```
Credentials: `.claude/secrets/ga_service_account.json` or `google_client_secret.json`
### Scripts
| Script | Purpose |
|--------|---------|
| `scripts/ga-config-loader.cjs` | Load credentials from .claude/secrets |
| `scripts/ga-list-accounts.cjs` | List GA4 accounts & properties |
| `scripts/ga-run-report.cjs` | Run custom reports |
| `scripts/ga-auth-setup.cjs` | OAuth authentication setup |
### Quick Usage
```bash
# List accounts
node .claude/skills/analytics/scripts/ga-list-accounts.cjs --summaries
# Run report
node .claude/skills/analytics/scripts/ga-run-report.cjs \
--property=PROPERTY_ID \
--dimensions=country,city \
--metrics=activeUsers,sessions
```
### API References
- `references/ga-admin-api.md` - Admin API (property config)
- `references/ga-data-api.md` - Data API (reporting)
## Agent Integration
**Primary Agents:** data-analyst, campaign-manager, growth-specialist
**Data Sources:** GA4, Ads platforms, CRM, Email tools
## Best Practices
1. Track leading indicators, not just lagging
2. Compare apples to apples (same timeframes)
3. Statistical significance before conclusions
4. Attribution ≠ causation
5. Report insights, not just numbers
6. Automate recurring reports
Auf GitHub ansehen