In this episode, we will introduce the concept of causal inference, and discuss how the data scientist team from Walmart determines Causal Effects when A/B Tests are Infeasible through Adopter Analysis.

Based on their published tech blog, with the link provided here for your reference:  https://medium.com/walmartglobaltech/how-to-determine-causal-effects-when-a-b-tests-are-infeasible-through-adopter-analysis-b06f2d51a633