merlin-analytics

Calculate marketing campaign metrics like MER, LTV:CAC, and payback period.

Updated Apr 1, 2026
One-click install
npx skills add https://github.com/oathgames/Merlin --skill merlin-analytics
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: merlin-analytics
Source: https://github.com/oathgames/Merlin/tree/main/.claude/skills/merlin-analytics
Command: npx skills add https://github.com/oathgames/Merlin --skill merlin-analytics

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill enables users to accurately monitor and analyze marketing and performance metrics, improving decision-making.

Core Features & Use Cases

  • Performance Tracking: Provides real-time dashboard metrics like MER, contribution margin, LTV:CAC, and payback period.
  • Campaign Analysis: Offers detailed performance summaries for ad campaigns, including conversion and engagement data.
  • Use Case: A marketer wants to evaluate the effectiveness of recent ad spend across platforms, using precise numbers directly from Shopify and GA4 data sources.

Quick Start

Request marketing dashboard metrics to assess recent campaign performance and get actionable insights.

Frequently Asked Questions about merlin-analytics

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

FAQPage Schema
How do I calculate key performance metrics for marketing campaigns using Shopify and GA4 data?

Marketing campaign metrics are calculated by pulling exact ad spend and revenue data directly from integrated analytics sources like Shopify and GA4. This provides real-time evaluation of performance indicators such as MER, LTV:CAC, and payback period.

What is the best way to track ad spend and contribution margin across multiple platforms?

Ad spend and contribution margin are tracked through real-time performance dashboards that aggregate campaign analysis metrics. This approach ensures data integrity by extracting precise numbers directly from connected operational analytics platforms.

Can I evaluate customer lifetime value and payback period for campaign optimization scenarios?

Customer lifetime value and payback period can be evaluated for campaign optimization scenarios. The analytics process calculates these key performance metrics to support strategic planning and accurate marketing performance assessment.

Does this marketing analytics approach work without additional dependencies or external components?

This marketing analytics approach works without additional dependencies or external components. It operates independently using reference components to pull precise operational metrics from your existing analytics platforms and dashboards.

When do I need real-time dashboard metrics for strategic planning?

Real-time dashboard metrics are needed for strategic planning when you require precise evaluation of ad spend and revenue performance. This ensures accurate decision-making by maintaining data integrity from operational sources.