You are reviewing customer behavior data and notice that higher engagement with account features is associated with lower churn. A teammate wants to treat that relationship as proof that the feature caused retention to improve.
What’s the difference between correlation and causation in customer analysis?
Distinguishing association from causal effectRecognizing confounding variablesUsing regression carefully in observational data