Blob io - Throw & split cells vs MONOPOLY GO!
Revenue, downloads, ratings and category context for two iOS apps. Figures are estimates and should be read as ranges, not exact totals.
Blob io - Throw & split cellsMikhail Prysiazhniy - Games
MONOPOLY GO!Scopely, Inc. - Games| Metric | Blob io - Throw & split cells | MONOPOLY GO! | Readout |
|---|---|---|---|
| Estimated revenue / mo | $*** - opens with trial | ~$48M | MONOPOLY GO! |
| Revenue band | $*** - opens with trial | $48M (point est.) | Use range + confidence |
| Estimated downloads / mo | $*** - opens with trial | ~7.6M | MONOPOLY GO! |
| Download band | $*** - opens with trial | 7.6M (point est.) | Use range + confidence |
| Rating | - | 4.80 | MONOPOLY GO! |
| Rating count | - | 3.8M | MONOPOLY GO! |
| Tracked keywords | — | 1 | MONOPOLY GO! |
| Category | Games | Games | Same market |
Which app is bigger?
Blob io - Throw & split cells and MONOPOLY GO! are compared inside Games with monthly revenue, downloads, rating, review volume, keyword footprint, category placement and range context. MONOPOLY GO! leads on monthly downloads in the current readout, and MONOPOLY GO! wins the revenue readout (the exact figures open with the paid plan), MONOPOLY GO! wins demand, MONOPOLY GO! has deeper review volume, and MONOPOLY GO! has the larger tracked keyword footprint. The better app depends on the job: choose the revenue leader when you need monetization proof, choose the download leader when reach matters, and choose the higher-rated or deeper-reviewed app when market trust is the constraint. Read both ranges rather than only the midpoint, then open the category hub and related collections to see whether this pair is an outlier or a normal category pattern.