Synthetic Control

Short answer

Synthetic control is a causal inference method that builds a weighted blend of untreated regions or units to mimic a test group before an intervention. Comparing the test group with this synthetic counterpart afterward estimates what would have happened without the treatment. It is commonly used for geo-based marketing experiments.