Distinguishing Accidental From Intentional Feature Interaction in Behavioral Data
Behavioral data can't distinguish accidental clicks from intentional adoption.
Selin Kavrakoglu
Section
7 stories in Behavioral Segmentation.
Behavioral data can't distinguish accidental clicks from intentional adoption.
Feature depth in your product predicts retention and expansion far better than session time.
Measure account adoption by behavior and database state, not individual clicks or company size.
Tracking where users actually are in workflows beats who they are.
Behavioral patterns predict outcomes better than job titles or company size.
Login frequency masks whether customers actually use your product or are quietly leaving.
Starting cohorts at signup masks activation failures that look like product problems.