business-metrics-calculator
Skill1 starsChanged 34 days agoMITView on GitHub
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.
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- chaakresh/claude-skillsword for word, first seen Sep 7, 2026
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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
- 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. - 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.
- 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.pyor adapt for other models. - 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.
- Compare to benchmarks — grade each metric against the industry benchmark thresholds in
references/metric_definitions.md(good / average / poor). Flag anything outside the acceptable range. - Produce the metrics report — assemble results into
assets/metrics_report_template.mdwith trend charts, benchmark comparison, and 3–5 key insights. Document any definition choices that differ from industry standard.
Inputs the skill needs
- Subscription or transaction data with at minimum: customer ID, date, value, status
- Marketing spend data (for CAC calculation)
- Monthly targets or goals (for vs-target comparisons)
- The agreed-upon metric definitions (or default to industry standard)
- Time period and any segmentation required (by plan, region, cohort)
Output
scripts/saas_metrics.py— calculates standard SaaS metrics from a subscriptions CSV; includes MRR waterfall, churn, LTV/CACreferences/metric_definitions.md— canonical definitions and benchmark thresholds by model typeassets/metrics_report_template.md— structured report: revenue metrics, customer metrics, unit economics, benchmark comparison, insights
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