Customer Segmentation & CLV Prediction

99.96%

Model Accuracy

$1,518

Average CLV

29.36x

ROI Potential

Customer Segments

Customer Segment Distribution

CLV Distribution by Segment

Live CLV Predictor

Enter customer information to predict their lifetime value using our advanced machine learning model.

Age

Gender

Location

Previous Purchases

Purchase Amount ($)

Review Rating

Subscription Status

Purchase Frequency

Segment Characteristics

Revenue by Segment

ROI Calculator

Calculate the return on investment for your advertising campaigns and optimize your budget allocation.

Customer Acquisition Cost ($)

Target New Customers

Average CLV ($)

Conversion Rate (%)

Retention Rate (%)

Discount Rate (%)

Project Features & Capabilities

Machine Learning Model

XGBoost regression model with 99.96% accuracy for predicting customer lifetime value. Includes hyperparameter tuning and cross-validation for optimal performance.

Customer Segmentation

K-Means clustering identifies 3 distinct customer segments with unique characteristics and purchasing behaviors for targeted marketing strategies.

ROI Analysis

Comprehensive ROI calculator showing 29.36x return potential with optimal budget allocation of $250,000 for 5,000 new customers.

Interactive Dashboard

Real-time CLV prediction, segment exploration, and ROI optimization tools for data-driven business decisions and stakeholder presentations.

Business Intelligence

Advanced analytics including feature importance, model performance monitoring, and customer journey mapping for strategic insights.

Deployment Ready

Complete implementation guide with Streamlit, Dash, and web deployment options for production-ready customer analytics solutions.

Customer Segmentation & CLV Prediction

Live CLV Predictor

ROI Calculator

Project Features & Capabilities

Customer Segmentation & CLV Prediction Project