ads-math

Calculate CPA, ROAS, CPL, break-even, and budget forecasts from pasted PPC data.

Updated Apr 21, 2026
One-click install
npx skills add https://github.com/scanbott/claude-skills --skill ads-math
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ads-math
Source: https://github.com/scanbott/claude-skills/tree/main/ads-math
Command: npx skills add https://github.com/scanbott/claude-skills --skill ads-math

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides a comprehensive PPC financial calculator and modeling toolkit to compute CPA, ROAS, CPL, break-even metrics, impression share opportunities, budget forecasts, and LTV:CAC analysis without APIs. It enables marketers to quickly quantify ad performance and forecast outcomes from pasted data.

Core Features & Use Cases

  • CPA, ROAS, CPL calculators with step-by-step formulas and outputs
  • Break-even analysis and budget forecasting with scenario planning
  • LTV:CAC and MER assessments for cross-channel efficiency
  • Use Case: A marketer reviews last 30 days of data to decide whether to scale campaigns or pause underperforming ad groups.

Quick Start

Enter your current spend and conversions (and revenue if available) to generate CPA, ROAS, and break-even insights immediately.

Frequently Asked Questions about ads-math

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I calculate CPA and ROAS for my PPC campaigns without API access?

You can calculate CPA and ROAS by pasting exported campaign data directly into the toolkit. It computes the metrics automatically using built-in formulas, requiring no API access.

How do I forecast my advertising budget and plan different spend scenarios?

Budget forecasting is done by pasting historical spend and conversion data into the calculator. It models future outcomes and provides break-even analysis for scenario planning.

Can I assess LTV:CAC and MER for cross-channel ad efficiency using pasted data?

Yes, LTV:CAC and MER assessments are supported. The toolkit analyzes pasted export data to quantify cross-channel efficiency and provides metric interpretations for your campaigns.

What's the best way to find break-even metrics and impression share opportunities for paid search?

The toolkit calculates break-even metrics and impression share opportunities from your pasted export data. It shows step-by-step formulas and provides recommendations based on the results.

Do I need any specific platform connections or dependencies to analyze my ad performance?

No platform connections or dependencies are required. The toolkit operates entirely on pasted data from your ad exports, making it compatible with any paid search or social campaign data.

Why should I use a dedicated math toolkit instead of spreadsheet formulas for CPL calculations?

A dedicated toolkit automates CPL calculations and provides step-by-step formulas, metric interpretations, and recommendations directly. This avoids manual formula errors and speeds up performance analysis.