Nature

Customer churn prediction model based on hybrid neural networks

In today’s increasingly competitive business environment, the impact of customer churn on organizations is becoming increasingly significant. Churn refers to the behavior of customers who stop ...

How a machine learning engineer built a churn prediction model that transformed a subscription platform’s retention strategy

A subscription technology platform with over 100,000 users was losing customers each month despite having access to ...
Forbes

Connected AI: Using Customer Behavior To Predict And Improve Retention

Zehra Cataltepe is the CEO of TAZI.AI, an adaptive, explainable AI and GenAI platform for business users. She has 100+ AI papers & patents. As of 2022, financial institutions have, on average, a 3.65% ...
Nature

Mitigating class imbalance in churn prediction with ensemble methods and SMOTE

Machine learning (ML) approaches are becoming increasingly common for predictive analytics applications like churn prediction. With the help of these techniques, companies can predict client attrition ...
The Gazette

TrueLoyal Churn Prediction Shows Which Customers Will Leave, Giving Consumer Brands a Critical Edge to Win Them Back

Advanced Churn Prediction engine enables brands to identify at-risk customers and deliver personalized marketing, moving from reactive retention to proactive relationship building. SAN ANTONIO, Sept.
CMS Wire

Churn Analysis: Is Your Brand Ignoring the Key to Customer Retention?

Analytics is often associated with online marketing as a way to measure visits to a website and online commerce. Yet as brands increasingly rely on apps and websites to entice customers, they are ...