Reduce User Churn

Have you been looking to understand your users and customers better? Have you been struggling to identify and understand your users, where they will likely click, or what actions they will respond to? Do you know when they will stop using an application? At what point are your users at the highest risk of churn? 

At Predikat, we can help you answer these questions while also identifying customer profiles to help you match them with particular offers, while also helping you identify the users at highest risk of churn. 

How do we identify those at the highest risk of churn? 

We use a Customer Churn Machine Learning module to predict whether or not a given user will stop using an application after a specific amount of time. We can do this by observing the users past behaviour, and how the user interacted with the application, and what actions they chose to take. 

The Customer Churn Machine Learning module was designed with the following features in mind: 

1. Simplicity of customers Input 

• In order to keep the requirements for our customers efficient, the user behaviour observed to build the model should be the minimum required in order to get good predictive power. 

2. Applicability to different customers 

• Along with simplicity comes generalisation power.  If a model uses too-specific features or depends on specific events, then the ability for the model to successfully apply to different customers is reduced. The machine learning model for churn should rely on simple, generic, user behaviour features and not complex, specific features. 

This module can help predict which of the users are open to marketing prompts, such as ads and incentives, while also predicting which of these customers will churn, at what point and how we can prevent the user from churning. This information is highly valuable to increase revenue, reducing churn and building future offerings that will help retain users. 

Take a closer look at how we used this Machine Learning Module to predict  churn with 88% accuracy using a World of Warcraft dataset. 

Find out more about our predictive analytics, and how they can help your business, in predicting customer behaviour, and reducing churn. 

​Connect with us today, and try our beta. ​