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.
Select an observation cutoff and identify the installs old enough to meet the complete D7 definition. Count returners only among those eligible installs. Keep the retention convention explicit: activity on the seventh day is different from activity on or after it. The worksheet accepts aggregate eligible and immature counts after that upstream classification; it does not infer user age from a date label.
Only immature varies; all other inputs are held constant. This is not a probability range.
100*returners/eligible100*returners/(eligible+immature)Additional constraints: (returners<=eligible). The field minimums also apply.
The returner count must use the same cohort and day-boundary definition as the eligible denominator. This model cannot repair identity resets, missing events or a different definition of active use.
Google Analytics BigQuery Export schema · primary documentation checked 19 September 2026.