Churn rate prediction framework

What is a churn rate prediction framework?

A churn rate prediction framework helps you forecast which customers are most likely to leave your product or service before they do.

This template walks you through how to use machine learning to identify patterns in customer behavior, so you can proactively reduce churn and improve retention.

It’s a strategic, data-driven approach that empowers growth, customer success, and product teams to protect revenue and optimize customer relationships.

What’s inside the template?

This step-by-step framework breaks down the process of predicting churn using AI and machine learning, without requiring advanced technical knowledge.

Inside, you’ll find:

• Step 1: Collecting data – Guidance on gathering the right customer, support, usage, and contextual features to build a reliable prediction model.
• Step 2: Creating your predictive model – Instructions for uploading your dataset to machine learning platforms like BigML or Google Cloud ML, and generating a decision tree.
• Step 3: Predicting churn – A walkthrough for using your model to forecast churn risks across your current customer base, so you can take targeted action.

From setup to prediction, the framework makes the process approachable and repeatable—ideal for teams just getting started with machine learning in customer retention.

How to use the template

1. Gather your data: Start by collecting and organizing features (customer, support, usage, and contextual) in a CSV format.
2. Train your model: Use a predictive tool like BigML to upload your dataset and create a decision tree that visualizes churn patterns.
3. Apply your model: Input current customer data (minus churn status) to generate future churn predictions.
4. Take action: Use your predictions to create targeted retention campaigns, re-engagement flows, or account health interventions.

By the end, you’ll have a clear view of who’s at risk, and a data-backed game plan to win them back.

Download your churn rate prediction framework

Churn rate prediction framework

Churn rate prediction framework You can predict how likely a customer is to churn based on how recently they’ve used your service. But unless you have a very small number of customers, spending a huge amount of time manually drilling down into the data and activity of each customer just isn’t vi…

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