Churn
Churn is the rate at which customers stop buying, subscribing, or engaging over a given period. Reducing churn raises lifetime value, and first-party behavioral and transactional data is what lets businesses predict and prevent it before customers leave.
Churn is the opposite of retention. Even small reductions compound, often outweighing acquisition gains over time.
Behavioral and transactional signals, such as declining usage or longer gaps between purchases, can flag at-risk customers early, enabling timely win-back before they lapse.
Go deeper
11 min readThe ROI of First-Party Data: How to Measure What It's WorthFirst-party data pays back through lower acquisition costs, higher retention, and better targeting. Here is where the ROI comes from, how to measure it, and how to build the business case.6 min read12 Real Ways Businesses Use First-Party DataFrom personalization and lead scoring to churn prediction and owned ad audiences, here are twelve concrete, proven use cases for first-party data.
Put the vocabulary to work on your data
Get a free First-Party Data Readiness Review, or browse the full glossary and guide library.