Walk through a completed Priceography analysis from a real studio. This is exactly what your dashboard looks like after your families complete the survey.
Data shown is from a sample studio with identifying details removed.
Priceography analyzes your survey responses and delivers a specific tuition recommendation with a confidence score and risk level. You see what parents actually choose and what they consider a fair price, so you know exactly how much room you have.
The sensitivity map shows where your parents start to feel the price is too cheap, a bargain, getting expensive, or too expensive. The Comfort Zone highlights the safe operating range where neither pushback risk nor quality concerns are too high.
See how your parents split between package types, monthly vs. annual commitment, and class frequency. These aren't opinions from a focus group. They're revealed preferences from real tradeoff decisions.
Three independent AI models (GPT, Claude, and Perplexity) each review your data separately, arrive at a recommendation, and explain their reasoning. You see where they agree, where they disagree, and why. This isn't one algorithm giving you a number. It's a structured debate grounded in your evidence.
Load a conservative, balanced, or aggressive scenario, or build your own. Adjust tuition, VIP pricing, commitment discounts, and class frequency. The simulator instantly shows you modeled enrollment share, revenue per student, monthly revenue, and enrollment pressure at each price point.
Toggle to Profit View and enter your cost assumptions. See contribution per student, break-even enrollment, and your path to sustainability at any price point.
Enter your current enrollment, expected trial attendees, and retention assumptions. Priceography models your full-season enrollment and revenue, broken out by retained families and new acquisitions, with price sensitivity adjustments built in.
Your complete analysis: $1,425. Survey, simulator, AI-supported analysis, and season forecast included.