Geo payback grid: D7 targets by country for one F2P title
Single global D7 targets mis-price geos. Illustrative grid — fill with your title’s observed D7, not market averages.
One global D7 ROAS target forces either overpaying weak geos or starving strong ones.
Method
Build the grid from country_code cohort revenue (raw data field dictionary): for each country, max_CPI = D7_revenue_per_install / target_ROAS. Keep the attribution rules clear when comparing geos (attribution model).
Synthetic grid (one title)
| Country | D7 rev / install | Target ROAS | Max CPI |
|---|---|---|---|
| US | $2.40 | 1.20 | $2.00 |
| BR | $0.90 | 1.20 | $0.75 |
| DE | $1.80 | 1.20 | $1.50 |
Replace every cell with your frozen cohort — do not paste these as market CPIs.
Facts vs limits
| Fact | Limit |
|---|---|
| Per-country raw fields exist | Fee/VAT netting not applied in this toy grid |
| Targets are operator inputs | Not Sensor Tower or vendor genre tables |
CSV.
