UA Ledger · Measurement Lab · draft for review
Synthetic teaching inputs. No real campaign results or industry defaults. Change the values to inspect the model. Calculations run locally; this page sends no data and does not retain inputs after closing.
Enter treatment-region outcomes before and after the intervention, plus equivalent control-region outcomes. Subtract the treatment baseline from its later value, do the same for the control, then subtract the control change from the treatment change. Keep periods equally defined and do not change the measured conversion or geographic boundary halfway through the exercise.
Only ca varies; all other inputs are held constant. This is not a probability range.
ta-tbca-cb(ta-tb)-(ca-cb)Additional constraints: true. The field minimums also apply.
This is an unnormalised count model. Unequal scale, changing population, pre-trend differences and interference between regions need a more appropriate design before the result informs a causal budget decision.
Google Analytics BigQuery Export schema · primary documentation checked 19 September 2026.