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Few questions: 1. How do you determine who fits into the A cohort and who fits into the B cohort? If I refresh could I fit into a different cohort and thus see
by pgodzin 6y ago
Few questions:
1. How do you determine who fits into the A cohort and who fits into the B cohort? If I refresh could I fit into a different cohort and thus see a different price? If I go Incognito?
2. Instead of a 50/50 A/B test, can you multi-arm bandit a handful of different price points and shift a higher proportion to the "best" one? And thus be able to change over time as well?
- kennandavison 6y ago1. Using random id + localstorage, so yes, incognito could result in a different price. 2. I'd love to implement MAB, but focused on nailing core product for now.
- kipply 6y agoHow do you avoid customers changing their behaviours by observing pricing changes? Or when they share it with a friend and go "cute shirt for 10 dollars" and their friend is like "wat it's 15 dollars"
- cdipaolo 6y agoCould cohort based on geo-location instead of completely at random. Makes analysis a bit more challenging though and doesn't completely solve the problem of course.