![]() The goal is to prevent churn, we know how to create a predictive model, so why don’t we create a model that predicts who is going to churn? Predicting churn?Įven though it is possible to make a really good model that predicts who is going to churn, it won’t help you. And as one of those lucky data scientists, it is tempting to quickly get your hands dirty. What is a good way to approach this challenge with machine learning?Īs company leadership it might be tempting to quickly gather your best data scientists and put them to work. So churn rate, or even better, retention rate is a key performance indicator. The latter challenge is referred to as preventing churn. In the business to consumer market, there are two strategies to grow market share: gaining new customers, and retaining existing customers. Author: Gerben Oostra, Big Data Architectures
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