Customer Churn Prediction for SaaS

Data Science

Description

A predictive analytics tool for subscription-based businesses. It analyzes user behavior, login frequency, and support ticket history to identify customers at risk of cancelling. 'SaaS Churn Rate' and 'Customer Retention Strategy' are high CPC B2B keywords. The model suggests personalized retention offers (discounts/upgrades) to high-value clients, integrating with CRM platforms like Salesforce or HubSpot.

Tech Stack

  • PHP / Python
  • MySQL
  • HTML5

Project Details

ID: 306

Category: Data Science