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Calculate PPC Metrics & Design Tests

0June 2026

Financial calculators, A/B test design framework, and reporting utilities.

What problem does this solve?

Provides PPC calculators for financial KPIs (CPA, ROAS, break-even, LTV:CAC, budget forecasting) and statistical A/B test design (hypothesis formulation, sample size, significance testing, duration). Also generates PDF audit reports for client delivery.

How does it work?

Run /ads math with your metrics (spend, conversions, revenue) to calculate financial KPIs and forecast scaling. Run /ads test to design an A/B test with proper sample size and duration. Run /ads report to generate a PDF version of your audit results formatted for client delivery with charts and executive summary.

Included Skills

No skills in this group

What's required to run this?

PDF report generation requires reportlab; if not installed, /ads report will prompt for installation rather than fail. The math and test utilities run purely offline with no external dependencies beyond Python.

Key Features

/ads math

PPC financial calculator for CPA, ROAS, CPL, break-even analysis, impression-share opportunity sizing, budget forecasting, LTV:CAC ratio, MER, and ACOS/TACOS targets vs contribution margin.

/ads test

A/B test design helper covering hypothesis formulation, primary/secondary metrics, sample size calculation, statistical significance thresholds, and recommended test duration by conversion volume.

/ads report

PDF audit report generation for client deliverables. Formats audit results with health score gauge, platform comparison charts, pass/fail distribution, detailed findings tables, and zero-overlap layout.

About This Blueprint

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