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ads-math

Calculate and model paid-media CPA, CPL, CPC, CPM, ROAS, MER, break-even targets, contribution margin, LTV:CAC, impression-share opportunity, budgets, forecasts, and experiment economics. Use for PPC math, ad calculator, break-even analysis, ROAS calculator, CPA calculator, budget forecast, LTV CAC, or MER.

Published by AgriciDaniel ↗AgriciDaniel/claude-ads

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Model break-even paid-media economics

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Use the ads-math skill to calculate my break-even CPA and ROAS, then show base, downside, and upside cases. Use the average order or conversion value I provide; if I provide total revenue instead, use it only with the matching order or conversion count to derive a per-acquisition value. Map every input to my values, show the formulas, keep platform-attributed revenue separate from blended business revenue, and state all assumptions and decision implications. Do not fabricate missing inputs.

Required inputs

  • Currency and analysis period
  • Average order or conversion value, or total revenue together with the matching order or conversion count
  • Gross or contribution margin
  • Tax and refund treatment
  • Attribution basis
  • Uncertainty ranges for key inputs

Previously published starter task based on a pinned source version; check the source and required inputs before running. Task evidence ↗

SKILL.md

name: ads-mathdescription: "Calculate and model paid-media CPA, CPL, CPC, CPM, ROAS, MER, break-even targets, contribution margin, LTV:CAC, impression-share opportunity, budgets, forecasts, and experiment economics. Use for PPC math, ad calculator, break-even analysis, ROAS calculator, CPA calculator, budget forecast, LTV CAC, or MER."

Paid Media Financial Model

  1. Identify the decision and collect units, currency, period, tax/refund treatment, margin, attribution basis, and uncertainty.
  2. Show the formula and map every input to an operator value or cited artifact.
  3. Validate denominators, sign, missing values, incompatible windows, and unit conversions.
  4. Calculate base, downside, and upside cases where uncertainty affects the decision.
  5. Keep platform-attributed revenue, blended business revenue, cash flow, and contribution margin distinct.
  6. Return machine-readable inputs, formulas, outputs, sensitivities, and decision implications.

Never fabricate missing financial inputs, hide division-by-zero, or present a point forecast without its assumptions.