Churn refers to customer attrition: the moment a customer stops buying from you. The probability of churn is a prediction—usually expressed as a percentage—of how likely each customer is to churn. It is calculated using a predictive model that analyzes signals such as how much time has passed since their last purchase, whether their purchase frequency is declining, or whether they have stopped engaging with your messages.

Why does it matter?

The churn rate tells you how many customers you've lost. The probability of churn tells you which customers you're about to lose—while you still have a chance to do something about it. That difference changes your strategy: you go from reacting to preventing.

• Retaining a customer who is already familiar with your brand usually costs less than acquiring a new one.
• It allows you to target benefits toward those who need them, rather than giving discounts to the entire customer base.
• Combined with customer value, it helps you prioritize who to retain first.

Story mode

Carla used to buy coffee beans every three weeks from an online store. She hasn't made a purchase in two months and has stopped opening the emails. The model assigns her a high probability of churn. The store messages her on WhatsApp with a recommendation for her favorite roast and free shipping on her next purchase. Carla returns before she's added to the list of lost customers.

How to Use It with Data4Sales

• Data4Sales calculates each customer's probability of churn as part of its predictive models, based on their 360° profile.
• You combine it with the lifecycle (for example, the "At Risk" status) and with RFM segments to build retention audiences.
• Enable automated reactivation workflows via WhatsApp, email, or SMS.
• You measure the results using attribution and a control group to determine the actual incremental revenue from those actions.

Related terms

• Churn or cancellation rate
• Customer at risk
• Predictive model
• Retention Rate