MobileTmoney
Research answer
What AppTrendKit can say about MobileTmoney today
AppTrendKit estimates MobileTmoney's App Store USD gross consumer spend at $179–$1.4K and downloads at 4.2K–15.5K during 2026-08-09 to 2026-09-07 (30-day window) with storefront contributor coverage unavailable.
These are modeled public App Store estimates, not official publisher-reported figures. Storefront scope is stated only when persisted contributor lineage identifies it.
Performance intelligence
Observed trajectory and estimates
Store ranks are observations. Downloads and gross store consumer spend are AppTrendKit estimates and only appear when persisted evidence exists.
Estimated downloads · 30D
Modeled4.2K–15.5K
Likely range · modeled estimate
Estimated App Store gross consumer spend · 30D
Modeled$179–$1.4K
Likely range · modeled estimate
Estimated downloads · 7D
Modeled4.2K–15.5K
Likely range · modeled estimate
Estimated App Store gross consumer spend · 7D
Modeled$179–$1.4K
Likely range · modeled estimate
Evidence history
Collected daily performance
1 observed day · missing days are left blank
| Date | Downloads | Gross store revenue | Confidence |
|---|---|---|---|
| Sep 7, 2026 | 8.1K | $506 | 69% |
Rank history
Observed chart positions
Lower rank is better. Only collected observations are shown.
Coverage note
What the ranks mean
A missing rank is not treated as zero downloads or zero revenue. Apple chart feeds are bounded and may return censored or not-ranked observations outside the visible chart depth.
Read the methodStorefront mix
Top countries by estimated contribution
Country estimates are aggregated only after country-level predictions exist.
| Storefront | Revenue | Share | Downloads | Rank | Confidence |
|---|---|---|---|---|---|
| South KoreaKR | $506 | 100.0% | 8.1K | — | 1% |
Monetization
Observed store economics signals
These are listing and product observations. They are not company revenue, subscriber counts, or advertising revenue.
App details
Store metadata
- Version
- 2.4.7
- Released
- Mar 29, 2020
- Last updated
- Sep 1, 2026
- Content rating
- 4+
- Default storefront
- HK
Public IAP observations
Validated in-app purchase prices
Only persisted rows with an explicit public publication boundary are shown. Missing price, currency, country, or date values stay unknown.
Listing detail
What the store says
MobileTmoney – The Smart Way to Travel Korea Your all-in-one transit card for buses and subways across Korea. Just tap your iPhone or Apple Watch and ride instantly. ■ Made for Travelers - Use public transportation across Korea with ease - No need to buy or carry a physical transit card - No sign-up required—start using it right away - Top up in the app using Apple Pay ■ Tap & Ride Anywhere - Ride buses and subways using your iPhone or Apple Watch - Simply tap your device—no need to open the app or wake your screen - Fast, secure, and contactless ■ Designed for Quick Access - Skip ticket machines and long lines - Works instantly when you're on the move - Check your balance and top up anytime in the app ■ Requirements - iPhone XS / XR or later with iOS 17.2 or later - Apple Watch Series 6 / SE (2nd gen) or later with watchOS 10.2 or later - A credit or debit card added to Apple Pay is required for top-up ■ Permissions To provide a smooth experience, the app may request: Optional Permissions - Phone: Account verification & customer support - Contacts: Recipient search for Send Balance - Location: Tracking for departure & arrival points - Camera: Card registration & QR code scanning Granting these permissions is optional—the app works without them, though some features won't be available. ■ Support - Customer Center: +82-1644-0088 (Weekdays 09:00–18:00, KST) - Email: mobileteam@tmoney.co.kr
Store creative
Screenshots
Competitive set
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Methodology and provenance
Read every number with its evidence
Metadata source: Apple iTunes Search API; observed Sep 7, 2026, 10:54 PM.
Rankings: collected chart positions from the listed storefront. Missing ranks are not zeros.
Economics: downloads and gross store consumer spend are estimated, not official Apple or publisher figures.
Model: No persisted model version.
Confidence: 1%; intervals widen when evidence or history is limited.
Last observation: Sep 7, 2026, 11:10 PM.
See how AppTrendKit separates observations, estimates, coverage, and confidence.
Open methodology