Individual skill
business-metrics-calculator
Standard business metric calculation with industry benchmarks. Use when calculating SaaS metrics (MRR, churn, LTV, CAC), e-commerce KPIs, or product analytics metrics with proper definitions.
03-data-analysis-investigation/business-metrics-calculator/SKILL.md
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- claude-code Repository topic
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SKILL.mdcore · 2,692 bytesassets/metrics_report_template.mddoc · 1,705 bytesreferences/metric_definitions.mddoc · 3,262 bytesscripts/saas_metrics.pyruns · 7,536 bytes
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# Business Metrics Calculator
# When to use
- Preparing a board or investor deck and need accurately defined metrics
- The team disagrees on how a key metric (e.g., churn) should be calculated
- Benchmarking performance against industry standards
- Building a metrics report for a new business or new metric set
- Validating that existing metric calculations match the standard definition
# Process
1. **Identify the business model and period** — confirm the model type (SaaS subscription, e-commerce, marketplace, product/app) and the calculation period (month, quarter, trailing 12M). Model type determines which metrics apply. See `references/metric_definitions.md`.
2. **Load and validate the underlying data** — check for expected row counts, missing values, and plausible date ranges. A metrics report is only as good as the data feeding it.
3. **Calculate primary metrics** — for SaaS: MRR, ARR, new MRR, churned MRR, expansion MRR, customer churn rate, revenue churn rate. For e-commerce: GMV, AOV, conversion rate, ROAS. Use `scripts/saas_metrics.py` or adapt for other models.
4. **Calculate unit economics** — LTV (simple average and cohort-based), CAC, LTV:CAC ratio, payback period, and quick ratio. Document which assumptions were used for LTV lifetime.