Machine Learning, Causal Inference, Data Science, Time Series Analysis, Statistics.
how “similar” their features are to those of the treatment units. For example, the number of ads shown would be a good feature as it is clearly predictive of revenue (because more ads mean more revenue), but also features such as ad sizes could be helpful as they may vary among placements, and this