Day One: Daily Journal & Diary vs AutoSleep: Watch Sleep Tracker
Revenue, downloads, ratings and category context for two iOS apps. Figures are estimates and should be read as ranges, not exact totals.
Day One: Daily Journal & DiaryBloom Built Inc - Health & Fitness
AutoSleep: Watch Sleep TrackerTantsissa - Health & Fitness| Metric | Day One: Daily Journal & Diary | AutoSleep: Watch Sleep Tracker | Readout |
|---|---|---|---|
| Estimated revenue / mo | $*** - opens with trial | $*** - opens with trial | Day One: Daily Journal & Diary |
| Revenue band | $*** - opens with trial | $*** - opens with trial | Use range + confidence |
| Estimated downloads / mo | $*** - opens with trial | $*** - opens with trial | Day One: Daily Journal & Diary |
| Download band | $*** - opens with trial | $*** - opens with trial | Use range + confidence |
| Rating | 4.83 | 4.71 | Day One: Daily Journal & Diary |
| Rating count | 117k | 61k | Day One: Daily Journal & Diary |
| Tracked keywords | 10 | — | Day One: Daily Journal & Diary |
| Category | Health & Fitness | Health & Fitness | Same market |
Which app is bigger?
Day One: Daily Journal & Diary and AutoSleep: Watch Sleep Tracker are compared inside Health & Fitness with monthly revenue, downloads, rating, review volume, keyword footprint, category placement and range context. Day One: Daily Journal & Diary leads on monthly downloads in the current readout, and Day One: Daily Journal & Diary wins the revenue readout (the exact figures open with the paid plan), Day One: Daily Journal & Diary wins demand, Day One: Daily Journal & Diary has deeper review volume, and Day One: Daily Journal & Diary 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.