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Reconcile and analyze SaaS revenue, growth, retention, cohorts, unit economics, margins, and efficiency. Use whenever the user mentions MRR, ARR, churn, GRR, NRR, ARPU, CAC, LTV, payback, cohort retention, growth rate, burn, Rule of 40, fundraising metrics, or a monthly business review.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
Discover and validate business opportunities from real customer evidence. Use whenever the user wants startup, SaaS, micro-SaaS, product, niche, or market ideas; wants to assess demand or competitors; or needs a ranked opportunity brief and validation plan.
Design repeatable community-led growth systems. Use whenever the user wants to grow an audience, build in public, launch in Reddit, Hacker News, Product Hunt, Discord, Slack, or niche groups, improve community engagement, or turn participation into qualified demand.
Generate, research, verify, and rank domain names with current registration checks, trademark-risk screening, language and security review, social-handle research, and registration guidance. Use whenever the user needs a product, company, app, project, or personal-brand name or wants to compare domains.
Build evidence-backed B2B account and prospect research for sales, partnerships, pilots, or customer discovery. Use whenever the user wants an ICP, target-account list, qualified leads, account scoring, buying signals, decision-maker roles, outreach angles, CRM-ready research, or deeper analysis of named companies.
Create an attorney-review-ready SaaS legal drafting package from an evidence-based data and product inventory. Use whenever the user needs a privacy notice, terms of service, cookie notice, acceptable use policy, DPA, CCPA/CPRA notice, vendor disclosure, or a gap analysis of existing legal pages. This skill flags issues and drafts language for review.
Scaffold a new Kungfu marketplace or internal maintenance skill with validated trigger metadata, only the necessary resources, correct plugin exposure, documentation, and complete repository checks.
| name | saas-metrics-analyzer |
| description | Reconcile and analyze SaaS revenue, growth, retention, cohorts, unit economics, margins, and efficiency. Use whenever the user mentions MRR, ARR, churn, GRR, NRR, ARPU, CAC, LTV, payback, cohort retention, growth rate, burn, Rule of 40, fundraising metrics, or a monthly business review. |
| category | business |
| license | MIT |
Build a trustworthy metric model before judging performance. Definitions, cohorts, segments, billing terms, and data quality matter more than a universal “health score.”
Define each metric in the user’s model. Recommended core definitions:
Closing MRR = Opening MRR + New + Expansion + Reactivation - Contraction - Churn
ARR = MRR × 12 # only when MRR is a valid recurring run rate
ARPA = MRR / active paying accounts
Logo churn = lost accounts / opening accounts
GRR = (Opening MRR - Contraction - Churn) / Opening MRR
NRR = (Opening MRR + Expansion + Reactivation - Contraction - Churn) / Opening MRR
CAC = attributable sales and marketing cost / new customers acquired
CAC payback months = CAC / monthly gross profit from the acquired customer
Specify whether reactivation belongs in NRR for the chosen reporting convention. Keep the convention consistent.
A simple steady-state LTV estimate is sometimes written as:
LTV ≈ ARPA × gross margin / monthly revenue churn
Use it only when churn is positive and reasonably stable. It can be misleading with heterogeneous cohorts, expansion, annual contracts, changing retention, or small samples. Prefer cohort contribution margin or survival-based models when data supports them.
Check:
Produce a data-quality report and identify which conclusions are blocked or tentative.
Create an MRR bridge by month and verify that components equal closing MRR. Separate:
Investigate unexplained residuals instead of hiding them in “other.”
Calculate net new MRR and growth rate, then explain what produced growth. Compare new acquisition with expansion and losses. A high headline growth rate supported by a small base or temporary annual-plan conversion should be labeled accordingly.
Analyze by customer segment, plan, acquisition channel, geography, and cohort where sample size permits.
Build cohort tables or curves for activation, logo retention, revenue retention, and repeated core-value behavior. Distinguish voluntary and involuntary churn. Examine:
Calculate CAC by channel and acquisition cohort, not only as a blended average. Define included spend and attribution window. Report:
A very high LTV:CAC ratio can indicate strong economics, underinvestment, or an overstated LTV. Investigate rather than celebrating automatically.
Where data is available, assess:
Use Rule of 40 or other composite metrics only when relevant to the company’s stage and with the exact growth and margin definitions stated.
Read metric benchmarks, then verify current primary or reputable benchmark sources. Present peer ranges with report year, sample, segment, and definition. Use benchmarks to generate questions, not to override company-specific economics.
For each finding provide:
Prioritize data integrity, retention/product fit, pricing/packaging, acquisition, and cost work according to actual constraints—not a fixed universal order.
Return: