paw-mkt-analytics

Map business goals to marketing KPIs and tracking requirements for GA4 and GTM.

85|12|Updated Apr 2, 2026
One-click install
npx skills add https://github.com/pawbytes/skill-suites --skill paw-mkt-analytics
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: paw-mkt-analytics
Source: https://github.com/pawbytes/skill-suites/tree/main/src/marketing/paw-mkt-analytics
Command: npx skills add https://github.com/pawbytes/skill-suites --skill paw-mkt-analytics

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Marketing analytics planning and governance: this skill defines a scalable framework to turn data into decisions by establishing KPI hierarchies, measurement plans, tracking specifications, and governance across GA4, GTM, and attribution workflows.

Core Features & Use Cases

  • Measurement framework: North Star metric, primary/secondary KPIs, data sources, and targets aligned to SOSTAC objectives.
  • Tracking implementation: GA4/GTAG configuration, event taxonomy, conversion events, UTM standards, and server-side considerations.
  • Dashboard & reporting design: executive dashboards, channel dashboards, and reporting templates with actionable insights.
  • Attribution & experimentation: data-driven attribution, incrementality testing, and MMM considerations.
  • Privacy & governance: consent, privacy-first measurement, data quality, audits, and compliance guidelines.

Quick Start

Generate a complete measurement framework for your brand, including KPI hierarchy, tracking spec, and dashboard plan, using the shared references as guidance.

Frequently Asked Questions about paw-mkt-analytics

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a measurement framework that maps business goals to GA4 tracking?

A measurement framework aligns business goals with marketing outcomes by defining a North Star metric, primary and secondary KPIs, and data sources into a structured measurement plan ready for GA4 implementation.

What is a UTM convention standard and how do I codify it for marketing dashboards?

UTM conventions standardize parameter naming across marketing channels to ensure data accuracy. Codifying them within a tracking spec enables clean attribution data and reliable dashboard reporting.

How do I set up GTM and GA4 tracking specifications for server-side considerations?

Setting up GTM and GA4 tracking specifications involves documenting event taxonomy, configuring conversion events, and outlining server-side considerations alongside privacy-first consent guidelines in a production-ready spec.

Can I use this approach to plan data-driven attribution and incrementality testing?

Yes, the framework supports planning data-driven attribution and incrementality testing by defining attribution workflows and MMM considerations to evaluate true marketing channel performance.

Does this framework include data governance and privacy-first compliance guidelines?

Yes, the framework includes data governance and privacy-first compliance guidelines. It covers consent management, data quality audits, and governance artifacts required to maintain compliant marketing analytics.

What is the best way to design executive dashboards and reporting templates for marketing analytics?

The best way to design executive dashboards and reporting templates is to create a structured dashboard specification that aligns channel metrics with your KPI hierarchy to deliver actionable insights.