Data And Funnel Analytics

Handles the full analytics stack from tracking setup through ROI calculation. You'll reach for this when implementing GA4 events, debugging conversion funnels, or figuring out why users drop off between steps. It enforces a tracking plan with snake_case naming conventions, includes benchmark tables for engagement metrics, and walks you through cohort analysis and retention curves. The funnel analysis section provides Python implementations with Plotly visualizations. Honestly most useful for the structured approach to event naming and the decision frameworks, less so if you just need to drop in a single GTM snippet. Routes to ab-test-setup for experiments.

skills.sh installs: 426
GitHub stars: 110
last updated: Aug 21, 2026

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Install

$ npx -y skills add manojbajaj95/claude-gtm-plugin --skill data-and-funnel-analytics --agent claude-code

Installs into .claude/skills of the current project.

Files

Data & Funnel Analytics

Workspace Context

Read bootstrap context before asking questions: strategy/brand.md for brand, audience, offer, channels, tools, constraints, and metrics; about/me.md for personal voice; content/ideas.md and content/calendar.md for content planning. Use legacy product-marketing context files only as fallback. Save generated drafts to content/<platform>/drafts/YYYY-MM-DD_short-topic-slug.md, and route durable learnings back to strategy/brand.md, about/me.md, or content/ideas.md.

Operating Contract

This skill is self-contained for its frontmatter scope: use its local instructions, references, scripts, and assets as the playbook; ask only for missing task-specific inputs; hand off to adjacent skills instead of expanding scope; and return an actionable artifact, decision, plan, draft, or diagnostic.

End-to-end analytics: set up tracking, interpret data, analyze funnels, measure product engagement, validate conversion paths, and calculate ROI.

Principle: Track for decisions, not data — every event should inform an action.