Hidden Segment Finder

Not All Customers Are the Same

Traditional regression assumes everyone responds identically to price and marketing. The Hidden Segment Finder uses Latent Class Regression to reveal hidden segments with fundamentally different behaviors.

Segment Coefficients Different effects per group

Segment Sizes Proportion in each group

Customer Assignments Who belongs where

Model Fit Stats AIC, BIC, Log-Likelihood

42%

Price
Seekers

35%

Premium
Buyers

23%

Deal
Hunters

Example: 3-segment solution from customer data

⚡ How It Works

📤

Upload

Your CSV data

→

🎛️

Configure

Variables & segments

→

🎯

Discover

Hidden segments

Segment-Specific Strategies = Higher ROI

Target the right customers with the right message

📦 What You Get

✓ R Shiny App ✓ User Manual ✓ Sample Datasets ✓ R Script Export

🏢 Use Cases

Price Sensitivity Marketing Response Feature Preference Churn Prediction Customer Lifetime Value

Ready to Discover Hidden Segments?

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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