I'm stuck! The goal is to count the number of customer transactions after initially being drawn in by a discount to determine "X% of customers never return when the first visit is discounted"
This was the best I could do:
postpurchase = (df_coup['DISC_BI'] == 1 & df_coup['LOGDATE'] > df_coup['LOGDATE1'])
I gotta think there's a way to loop this or something.
Data Frame:
