Price Test Design Tool

Design Statistically Rigorous Price Experiments

Know Before You Change Your Price

Design price experiments with confidence. Calculate optimal sample sizes, test duration, and project revenue impact before running your test.

Sample Size Per group calculation
Duration Days to significance
Power Analysis Detection probability
Revenue Impact Projected outcomes
100% 50% 0% Day 7 Day 14 Day 21 p < 0.05 * Control ($49.99) Treatment ($59.99)

How It Works

📊

Configure

Enter test params

Calculate

Get sample size

🎯

Launch

Run with confidence

87% of price tests fail due to poor design*

Don't leave revenue on the table

📦 Key Features

🏢 Ideal For

E-commerce SaaS Subscription D2C Brands

Ready to Design Your Price Test?

Dr. Koray Cosguner

Founder & Principal Consultant
Associate Professor of Marketing

miaow.consulting@gmail.com

Kelley School of Business
#1 Online MBA · #4 UG Marketing (U.S. News)
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