Generally, the customers who stop using a product or service for a given period of time are referred to as churners. As a result, churn is one of the most important elements in the Key Performance Indicator (KPI) of a product or service. A full customer lifecycle analysis requires taking a look at retention rates in order to better understand the health of the business or product.
mohan-mj / ann-churn_modeling Goto Github PK
View Code? Open in Web Editor NEWA Predictive Churn Model is a tool that defines the steps and stages of customer churn, or a customer leaving your service or product. Having a predictive churn model gives you awareness and quantifiable metrics to fight against in your retention efforts.
License: Apache License 2.0
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent