From agentkits-marketing
Analyzes marketing performance via attribution models, ROI/CAC/LTV metrics, tracking setup, campaign reports, and dashboards for data-driven decisions.
npx claudepluginhub aitytech/agentkits-marketing --plugin agentkits-marketingThis skill uses the workspace's default tool permissions.
Performance measurement and attribution modeling for data-driven marketing decisions.
Analyzes marketing performance using KPI frameworks, attribution modeling, anomaly investigation, and measurement strategies. Useful for reporting, competitive intelligence, dashboards, and incrementality testing.
Generates marketing performance reports with executive summaries, key metrics tables, trend analysis, wins/misses, and prioritized optimizations for campaigns or channels.
Sets up marketing analytics infrastructure including GA4/GTM tracking, dashboards, attribution models, A/B testing frameworks, funnels, and ROI analysis. Triggers on analytics, measurement, attribution queries.
Share bugs, ideas, or general feedback.
Performance measurement and attribution modeling for data-driven marketing decisions.
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.
Apply analytics expertise when:
Dimensions (What you're measuring by):
Metrics (What you're measuring):
| 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 |
| 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 |
TOFU (Awareness)
MOFU (Consideration)
BOFU (Decision)
Retention
| 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-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 |
crm-workflow.md - Lead stage definitions, scoring thresholdssales-workflow.md - SQL criteria, deal velocity metrics/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 analysisreferences/google-analytics.md - GA4 setup and usagereferences/search-console.md - SEO performance trackingreferences/attribution-models.md - Attribution deep divereferences/dashboards.md - Reporting best practicesreferences/reporting-templates.md - Client-ready report templates