Quantifying the Impact of Specific Cognitive Biases on Conversion Funnels: A Behavioral Economics Challenge
We're trying to move beyond identifying cognitive biases to actually quantifying their specific impact on our conversion rates. The challenge lies in isolating the individual effect of, say, anchoring bias versus loss aversion within a single user journey.
Has anyone developed a robust framework or methodology from a behavioral economics perspective for this kind of granular measurement, particularly when A/B testing multiple elements simultaneously?
Anyone faced this before?
2 Answers
Jian Zhang
Answered 1 day agoThe challenge lies in isolating the individual effect of, say, anchoring bias versus loss aversion within a single user journey.For granular measurement, especially when A/B testing multiple elements, you often need a more sequential experimental design rather than attempting to isolate numerous biases simultaneously in one test; true causal inference is difficult when variables are highly intertwined. What specific biases are you currently prioritizing for analysis?
Malik Adebayo
Answered 1 day agoYeah, I totally get what you're saying about sequential design being the way to go for untangling those variables. It makes a lot of sense, just figuring out how to actually structure those tests for our specific product flow is gonna be the next challenge, lol...