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.
Define a qualifying event and observation window before opening the worksheet. Count installs and qualifying players from the same cohort, with each player counted once at each stage. Divide spend by each count and report the qualification fraction alongside the costs. Avoid substituting all active users for qualified newly acquired players.
Only qualified varies; all other inputs are held constant. This is not a probability range.
spend/installsspend/qualified100*qualified/installsAdditional constraints: (qualified<=installs). The field minimums also apply.
The exercise assumes the qualification group is a subset of the install cohort. Missing identities, repeat installs or a changed event definition need reconciliation before the ratio can support a channel comparison.
Google Analytics BigQuery Export schema · primary documentation checked 19 September 2026.