Low-cost tickets: Star flights vs PeakFinder
Revenue, downloads, ratings and category context for two iOS apps. Figures are estimates and should be read as ranges, not exact totals.
Low-cost tickets: Star flightsKseniia Gavrilova - Travel
PeakFinderPeakFinder GmbH - Travel| Metric | Low-cost tickets: Star flights | PeakFinder | Readout |
|---|---|---|---|
| Estimated revenue / mo | $*** - opens with trial | $*** - opens with trial | PeakFinder |
| Revenue band | $*** - opens with trial | $*** - opens with trial | Use range + confidence |
| Estimated downloads / mo | $*** - opens with trial | $*** - opens with trial | PeakFinder |
| Download band | $*** - opens with trial | $*** - opens with trial | Use range + confidence |
| Rating | - | 4.71 | PeakFinder |
| Rating count | - | 12k | PeakFinder |
| Tracked keywords | — | — | Tie |
| Category | Travel | Travel | Same market |
Which app is bigger?
Low-cost tickets: Star flights and PeakFinder are compared inside Travel with monthly revenue, downloads, rating, review volume, keyword footprint, category placement and range context. PeakFinder leads on monthly downloads in the current readout, and PeakFinder wins the revenue readout (the exact figures open with the paid plan), PeakFinder wins demand, PeakFinder has deeper review volume, and Tie 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.