Data Science, Statistics, Analytics, Experiment, Causality.
ingredient is a bad idea because the people who saw the downtown ad might make the purchase around midtown. If you have data going back pretty far, split it into three time periods. Use the farthest back to find your ingredients, the middle to validate, and the most recent to estimate the causal