What problem does it solve?
Ads-math eliminates guesswork in PPC and CRO decision-making by turning messy performance inputs into clear, comparable profitability metrics so you can decide whether to scale, maintain, or cut.
Core Features & Use Cases
- Core PPC unit economics: Computes CPA, ROAS, MER, and LTV:CAC from period spend, conversions, revenue, and customer economics.
- Profitability guardrails: Runs break-even CPA/ROAS analysis from AOV and margin to reveal maximum profitable targets and headroom.
- Scaling and opportunity sizing: Estimates impression-share budget/rank loss opportunities and builds budget forecasts with scenario planning.
- Use case: If you paste a 30-day Meta/Google Ads export with spend, attributed revenue, and conversions, the skill calculates CPA/ROAS, flags whether you’re above break-even, projects outcomes for your next budget period, and summarizes what to do next.
Quick Start
Ask for PPC financial analysis by providing your ad spend, conversions, and (if available) attributed revenue, plus AOV and margin if you want break-even and scaling recommendations.