agricidaniel/claude-ads

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.

All-time #4396 Trending #4537 First seen Apr 13, 2026
8-week activity · all time api

Installation

$ npx skills add agricidaniel/claude-ads --skill ads-math

Summary

  • 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.

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 9.1K
License LICENSE
Default branch main
Open issues 19
Status Active

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 1,100 B
  • docs SUMMARY.md 1,063 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 2,947 installs

SKILL.md

Paid Media Financial Model

  1. Identify the decision and collect units, currency, period, tax/refund treatment,

margin, attribution basis, and uncertainty.

  1. Show the formula and map every input to an operator value or cited artifact.
  2. Validate denominators, sign, missing values, incompatible windows, and unit

conversions.

  1. Calculate base, downside, and upside cases where uncertainty affects the decision.
  2. Keep platform-attributed revenue, blended business revenue, cash flow, and

contribution margin distinct.

  1. 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.