
Ads Math
Model paid-search unit economics from pasted exports without connecting ad APIs.
Install
npx skills add https://github.com/agricidaniel/claude-ads --skill ads-mathWhat is this skill?
- CPA, ROAS, CPL, and ROAS% with formulas shown step by step
- Break-even analysis and budget forecasting from period inputs
- Impression-share opportunity sizing when export fields are provided
- LTV:CAC and MER (Marketing Efficiency Ratio) assessment
- Zero API access—works from pasted spreadsheet or export snippets
Adoption & trust: 572 installs on skills.sh; 5.8k GitHub stars; 3/3 security scanners passed (skills.sh audits).
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Common Questions / FAQ
Is Ads Math safe to install?
skills.sh reports 3 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.
SKILL.md
READMESKILL.md - Ads Math
# 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 conversions (same period) Output: - CPA with period context - CPA trend (if historical data provided) - Comparison to industry benchmark (from benchmarks.md) ``` ### 2. ROAS Calculator ``` ROAS = Revenue from Ads / Ad Spend ROAS% = (Revenue - Spend) / Spend × 100 Inputs needed: - Total ad spend - Total revenue attributed to ads Output: - ROAS as ratio (e.g., 3.5x) and percentage (250%) - Break-even ROAS (based on margins if provided) - Comparison to platform benchmarks ``` ### 3. Break-Even Analysis ``` Break-Even CPA = Average Order Value × Profit Margin Break-Even ROAS = 1 / Profit Margin Inputs needed: - Average order value (AOV) OR average deal value - Profit margin (gross margin %) - Current CPA or ROAS Output: - Maximum profitable CPA - Minimum profitable ROAS - Current headroom (how far above/below break-even) - Recommendation: scale, maintain, or cut ``` ### 4. Impression Share Opportunity ``` Impression Share Lost (Budget) = opportunity from budget increase Impression Share Lost (Rank) = opportunity from bid/quality improvement Revenue Opportunity = Current Revenue × (1 / Current IS - 1) Inputs needed: - Current impression share % - IS lost to budget % - IS lost to rank % - Current spend and conversions Output: - Estimated additional conversions from full IS - Budget needed for full IS (estimated) - Priority: budget increase vs quality improvement ``` ### 5. Budget Forecasting ``` Projected Spend = Daily Budget × Days in Period Projected Conversions = Projected Spend / Historical CPA Projected Revenue = Projected Conversions × AOV Scaling scenarios: - Conservative: +20% budget → estimated impact - Moderate: +50% budget → estimated impact - Aggressive: +100% budget → estimated impact (with diminishing returns caveat) Inputs needed: - Current daily budget - Historical CPA (last 30 days) - Forecast period - AOV (if revenue projection needed) Output: - 3 scenarios with spend, conversions, revenue projections - Diminishing returns warning for aggressive scaling - 20% scaling rule reminder (never increase >20% at a time) ``` ### 6. LTV:CAC Ratio ``` CAC = Total Marketing Spend / New Customers Acquired LTV = Average Revenue per Customer × Average Customer Lifespan LTV:CAC Ratio = LTV / CAC Inputs needed: - Total marketing spend (all channels) - New customers acquired - Average revenue per customer (monthly or annual) - Average customer lifespan (months) - Optional: gross margin for unit economics Output: - LTV:CAC ratio with interpretation: - <1:1 = losing money on every customer - 1:1-2:1 = break-even to marginal - 3:1 = healthy (SaaS benchmark) - 5:1+ = may be under-investing in growth - Payback period: months to recover CAC - Recommendation based on ratio ``` ### 7. MER (Marketing Efficiency Ratio) ``` MER = Total Revenue / Total Marketing Spend Inputs needed: - Total bus