Understand and Combat Subscriber Churn with Data Science
This post explains how to understand customer behavior correlation and how it impacts your churn reduction strategies. Why Should you Care About Correlation Between Customer Behavior? My last post was on understanding customer behavior and churn. I demonstrated that customer metrics show you a lot about customer health. But many customer behaviors are closely related. […]
It’s time to do what you came here for: Understand why your customers churn! And what keeps them engaged. You may think that in this post I’m going to dive into some serious statistics or machine learning, or brag about the latest Deep Learning algorithm I’m using. Actually, I will demonstrate a simple but robust […]
This post is about one of the most important topics in data science: Feature Engineering! More specifically, how to create great customer metrics for understanding churn, using feature engineering techniques. If you are operating any kind of product or service with repeated interactions with users or customers then you are probably collecting data about those […]
A recent survey I ran shows serious limits to what AI can do in the near term: The survey found that fewer than 50% of respondents would trust an AI if there was $1,000 or more at stake based on the decisions of the AI. So trust in AI disappears fast when there is serious […]