Turn Data Into Decisions.
Turn Insights Into Growth.
Studio Genius analyzes every aspect of your fitness studio — from instructor performance to member engagement — giving you the insights you need to make smarter decisions and drive real growth.
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AI-Powered Insights
Transform feedback into actionable insights with AI-driven analysis
Instructor Excellence
Empower instructors with performance data and peer benchmarks
Proactive Retention
Identify at-risk members and automate personalized re-engagement
Complete Analytics
Track every metric with real-time dashboards and custom reports
Everything You Need to Run a Smarter Studio
From automated feedback collection to predictive analytics, Studio Genius gives you the tools to understand and grow your business.
Review & Feedback Intelligence
Transform customer feedback into actionable insights that drive instructor excellence
AI Summary
Based on 47 reviews this month
"Sarah's energy and motivation techniques are consistently praised. Students particularly appreciate her personalized corrections and encouraging approach. Consider incorporating more cooldown time based on recent feedback."
Instructor App
Empower your instructors with their own performance dashboard and coaching tools
Performance Comparison
Top Tier
High Performer
Strong
Reporting & Analytics
Comprehensive dashboards and reports for every metric that matters
Studio Performance Overview
Total Members
1,247
+12% this month
Avg. Retention
87%
+3% from last month
AI Chat Assistant
Have natural conversations with your studio data to get instant insights
"Which instructor has the highest retention rate this quarter?"
Sarah Johnson leads with 94% retention
Her Monday evening and Wednesday morning classes show particularly strong member loyalty. Key factors include consistent scheduling and personalized attention.
Churn Analysis Agent
Proactively identify and re-engage at-risk members with AI-powered interventions
At-Risk Members Detected
Emma Thompson
Last visit: 14 days ago
Recommended: Send personalized class recommendation based on past preferences