gtm-metrics

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Build a GTM metrics system for SaaS: funnel conversion, pipeline velocity, win rates, CAC, payback, NRR, sales efficiency, growth accounting, and executive dashboards. Use when creating metrics dashboards, board reports, revenue reviews, operating cadence, or diagnosing growth constraints.

AI & Automation 49 stars 14 forks Updated 4 days ago MIT

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Skill Content

# GTM Metrics ## Overview GTM Metrics establishes the canonical measurement framework for evaluating go-to-market health. The core principle: most SaaS companies measure the wrong things or measure the right things incorrectly. They track MRR without segmenting by cohort, calculate CAC without fully loading costs, and report NRR without distinguishing expansion from contraction. This skill prevents the existential mistake of running a GTM organization on bad math. The non-obvious rule: every SaaS metric is stage-dependent. A 3-month CAC payback is spectacular at the enterprise level and mediocre in SMB. A 90% NRR is catastrophic for enterprise SaaS and acceptable for SMB. Benchmarks are meaningless without stage context. This skill applies stage-aware benchmarking to every metric. This skill produces a complete GTM Metrics Dashboard including: the 6-metric core stack with stage-aware benchmarks, a Winning by Design GTM Index assessment scoring the organization 1-10 across 6 models, pipeline velocity analysis with bottleneck identification, cohort trend charts, and a board-ready executive summary with red/yellow/green status indicators. ## When to Use - User says "GTM metrics" or "SaaS metrics dashboard" → activate this skill - User asks "how efficient is our GTM" or "GTM efficiency" → use this skill - User mentions "board metrics," "board deck," or "investor reporting" → activate for metric preparation - User says "pipeline velocity," "CAC payback," "Magic Number," or "...

Details

Author
LeadMagic
Repository
LeadMagic/gtm-skills
Created
3 months ago
Last Updated
4 days ago
Language
Python
License
MIT

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