Customer churn is a problem that all companies need to monitor, especially those that depend on subscription-based revenue streams. The simple fact is that most organizations have data that can be used to target these individuals and to understand the key drivers of churn, and we now have Keras for Deep Learning available in R (Yes, in R!!), which predicted customer churn with 82% accuracy.
<p>Churn refers to the loss of customers who are subscribed to or use a service. Churn rate is an important component of growth because it is tied to the retention of users of a service. When more users churn, retention rates are lower. When churn rate is high, it is harder to grow a product or service because more new users are required to offset the users who churned from the service. Churn is particularly important in SaaS businesses and other businesses where users pay a recurring subscription fee. These businesses creaet profit from long customer retention spans and a high customer lifetime value. When churn is high, businesses can't capture the full expected lifetime value. These are the best articles on how to reduce churn and improve customer lifetime value. From how to reduce churn, how to generate negative churn, how to use customer success to lower churn rates and hacks to reduce churn, you'll find tactics to improve retention and growth for your business.</p>
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