Data Science, Analytics, Causal Inference, Editors Pick.
shopped with you, it is more probable that they like your products and are more familiar with your product catalog, and therefore more likely to spend more per transaction. Let’s go after this confounder. 3. We can control for this confounder by splitting the data using the distinct values of the