Why the shakeout effect matters in CLV modeling
Customer lifetime value (CLV) is often treated as a static metric. In practice, it is shaped by how different types of customers behave – and churn – over time. One of the most important dynamics to understand is the “shakeout effect,” where early churn removes lower-value customers from a cohort, leaving a smaller, more stable […]



Recent Comments