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Custom Churn Prediction and Customer Retention Analytics System

lightpointglobal.com

Advertising & marketing

Media

Limited Customer Churn Insights in Subscription-Based Marketing

Existing off-the-shelf analytics tools provide restricted metrics, preventing accurate churn rate calculation and predictive analysis for customer retention strategies

About the Client

Specializes in marketing, business development, and automation services for subscription-based businesses, with a focus on the publishing industry

Enhanced Customer Retention Through Predictive Analytics

Implement real-time churn rate and percentile tracking
Develop ML-driven churn risk prediction models
Enable data-driven customer retention strategies
Improve marketing/sales strategy accuracy through enriched behavioral analytics

Core System Functionalities

Real-time churn rate and percentile calculation per user
Machine learning-based churn risk prediction
Anonymous visitor identification and behavior tracking
Integration with Google Analytics, Adobe Analytics, and engagement platforms
Subscription/payment history analysis for churn indicators

Technology Stack Requirements

Python

Go (REST WebAPI)

Node.js

Google Cloud Platform

Google BigQuery

MongoDB

PostgreSQL

System Integration Needs

Google Analytics
Adobe Analytics
Customer engagement software
Data visualization tools (e.g., Google Data Studio)

Operational Requirements

High-volume data processing scalability
Real-time analytics performance
Secure customer data handling
Cross-platform compatibility with existing tech stack

Business Impact Projections

Enables proactive customer retention strategies through predictive analytics, improves marketing ROI by 20-30% via targeted interventions, and provides comprehensive audience behavior insights that existing tools cannot capture