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.
npx skills add AgriciDaniel/claude-ads --skill ads-math --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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.
What does the ads-math skill do?
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.
How do I install it?
Run `npx skills add AgriciDaniel/claude-ads --skill ads-math --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From AgriciDaniel/claude-ads, a repository with 7,813 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.