Lose Weight at Home in 30 Days 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.
Lose Weight at Home in 30 DaysABISHKKING LIMITED. - Health & Fitness
AutoSleep: Watch Sleep TrackerTantsissa - Health & Fitness| Metric | Lose Weight at Home in 30 Days | AutoSleep: Watch Sleep Tracker | Readout |
|---|---|---|---|
| Estimated revenue / mo | $*** - opens with trial | $*** - opens with trial | Lose Weight at Home in 30 Days |
| Revenue band | $*** - opens with trial | $*** - opens with trial | Use range + confidence |
| Estimated downloads / mo | $*** - opens with trial | $*** - opens with trial | Lose Weight at Home in 30 Days |
| Download band | $*** - opens with trial | $*** - opens with trial | Use range + confidence |
| Rating | - | 4.71 | AutoSleep: Watch Sleep Tracker |
| Rating count | - | 61k | AutoSleep: Watch Sleep Tracker |
| Tracked keywords | 8 | — | Lose Weight at Home in 30 Days |
| Category | Health & Fitness | Health & Fitness | Same market |
Which app is bigger?
Lose Weight at Home in 30 Days and AutoSleep: Watch Sleep Tracker are compared inside Health & Fitness with monthly revenue, downloads, rating, review volume, keyword footprint, category placement and range context. Lose Weight at Home in 30 Days leads on monthly downloads in the current readout, and Lose Weight at Home in 30 Days wins the revenue readout (the exact figures open with the paid plan), Lose Weight at Home in 30 Days wins demand, AutoSleep: Watch Sleep Tracker has deeper review volume, and Lose Weight at Home in 30 Days 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.