ads-math
The ads-math skill provides a framework for PPC financial calculations, including CPA, ROAS, break-even analysis, impression share opportunity, budget forecasting, LTV:CAC ratios, and MER assessment.
Is ads-math safe to install?
Safe to install: our audit of ads-math's source files found 0 shell commands, 0 external URLs, no file writes (none risk). Every command and URL listed appears verbatim in the skill's source. The skill performs text-based calculations and analysis on user-provided data. It does not execute shell commands, access external APIs, or read/write local files.
How we audit skills: our security review methodology.
Who is this skill for?
PPC managers and marketers who need to perform financial modeling and performance analysis on advertising data.
What can you do with it?
- Calculate CPA, ROAS, and MER from provided ad data.
- Perform break-even analysis based on AOV and profit margins.
- Forecast budget scaling scenarios and estimate conversion impacts.
- Analyze impression share opportunities to identify growth potential.
- Evaluate LTV:CAC ratios to determine customer acquisition health.
How good is this skill?
Quality score: 5/10. The skill provides clear, structured formulas and a consistent output format for financial analysis. It is well-documented and scoped to specific PPC use cases.
What does the skill file contain?
# PPC Financial Calculator & Modeling <!-- Created: 2026-04-13 | v1.5 --> <!-- Source: itallstartedwithaidea/google-ads-skills (PPC math concept) --> ## Process 1. Ask the user what calculation they need (or detect from context) 2. Collect required inputs (from pasted data, exports, or verbal description) 3. Perform calculations with clear formulas shown 4. Present results with interpretation and recommendations 5. Flag any concerning metrics or benchmarks ## Calculators ### 1. CPA Calculator ``` CPA = Total Spend / Total Conversions Inputs needed: - Total ad spend (period) - Total conv...
Frequently asked questions
Does this tool connect to my Google Ads or Meta Ads account?
No. The tool requires zero API access and works exclusively with data pasted by the user.
What data do I need to provide for a budget forecast?
You must provide the current daily budget, historical CPA from the last 30 days, the forecast period, and the average order value if revenue projections are required.
How does the tool determine if my metrics are good?
The tool compares calculated metrics against industry benchmarks referenced in the skill instructions, such as 3:1 for healthy SaaS LTV:CAC ratios.
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