Merlin Bird ID by Cornell Lab vs Google Translate
Revenue, downloads, ratings and category context for two iOS apps. Figures are estimates and should be read as ranges, not exact totals.
Merlin Bird ID by Cornell LabCornell University - Reference
Google TranslateGoogle - Reference| Metric | Merlin Bird ID by Cornell Lab | Google Translate | Readout |
|---|---|---|---|
| Estimated revenue / mo | $*** - opens with trial | $*** - opens with trial | Partial signal |
| Revenue band | $*** - opens with trial | $*** - opens with trial | Use range + confidence |
| Estimated downloads / mo | $*** - opens with trial | $*** - opens with trial | Google Translate |
| Download band | $*** - opens with trial | $*** - opens with trial | Use range + confidence |
| Rating | 4.86 | 4.29 | Merlin Bird ID by Cornell Lab |
| Rating count | 109k | 83k | Merlin Bird ID by Cornell Lab |
| Tracked keywords | 1 | 4 | Google Translate |
| Category | Reference | Reference | Same market |
Which app is bigger?
Merlin Bird ID by Cornell Lab and Google Translate are compared inside Reference with monthly revenue, downloads, rating, review volume, keyword footprint, category placement and range context. Google Translate leads on monthly downloads in the current readout, while a clean revenue readout is available only for neither app in this pair. Google Translate wins demand, Merlin Bird ID by Cornell Lab has deeper review volume, and Google Translate 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.