Freecash - 돈버는앱
Research answer
What AppTrendKit can say about Freecash - 돈버는앱 today
AppTrendKit estimates Freecash - 돈버는앱's App Store downloads at 285.8K–1.1M during 2026-08-09 to 2026-09-07 (30-day window projected run rate) 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. No qualifying USD gross-consumer-spend band is available for this listing.
Performance intelligence
Observed trajectory and estimates
Showing the strongest available persisted window (30D). Store ranks are observations. App-wide 30D estimates use the same coverage-aware run-rate basis as Explore when available; the underlying partial-period modeled total remains visible below each projection.
Estimated downloads · 30D
Projected285.8K–1.1M
Projected run-rate range · modeled estimate
Estimated App Store gross consumer spend · 30D
ProjectedToo little evidence
Not enough observed days to publish a range yet
Evidence history
Collected daily performance
1 observed day · missing days are left blank
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 · 30D
Country rows show modeled totals for their observed portion of the selected period; they are not directly additive to an app-wide projected run rate. The latest evidence timestamp is shown per storefront.
- Revenue range · 30D
- $455–$3.6K
- Observed share
- 38.4%
- Downloads range · 30D
- 3.2K–11.8K
- Rank
- —
- Coverage
- 3% · partial
- Confidence
- Low
- Revenue range · 30D
- $372–$3K
- Observed share
- 31.4%
- Downloads range · 30D
- 4.2K–15.5K
- Rank
- —
- Coverage
- 3% · partial
- Confidence
- Low
- Revenue range · 30D
- $359–$2.9K
- Observed share
- 30.3%
- Downloads range · 30D
- 2.2K–8.1K
- Rank
- —
- Coverage
- 3% · partial
- Confidence
- Low
| Storefront | Revenue range · 30D | Share | Downloads range · 30D | Rank | Coverage | Confidence | Updated |
|---|---|---|---|---|---|---|---|
| United StatesUS | $455–$3.6K | 38.4% | 3.2K–11.8K | — | 3% · partial | Low | Sep 7, 2026 |
| United KingdomGB | $372–$3K | 31.4% | 4.2K–15.5K | — | 3% · partial | Low | Sep 7, 2026 |
| GermanyDE | $359–$2.9K | 30.3% | 2.2K–8.1K | — | 3% · partial | Low | Sep 7, 2026 |
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
- 1.261.0
- Released
- Nov 3, 2025
- Last updated
- Sep 7, 2026
- Content rating
- 17+
- Default storefront
- KR
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
Freecash - Earn Rewards에 오신 걸 환영해! 자투리 시간에 재미있게 온라인으로 돈 버는 앱이야. 진짜 재미있는 게임을 즐기고, 설문조사에 답하고, 온라인 쇼핑도 하면서 그 김에 진짜 돈을 벌어봐 — 전부 휴대폰 하나로 끝. 완료한 미션만큼 잔액에 진짜 돈이 쌓이고, 원할 때 언제든 출금할 수 있어. Freecash - Earn Rewards 사용법: - 무료 가입 — 계정 만드는 데 몇 초면 충분해. - 플레이하고 벌기 — 재미있는 게임을 찾아서 즐기면서 잔액을 불려봐. - 출금하기 — 모은 잔액을 PayPal 현금, Amazon 기프트카드 등으로 바꿔봐. 5분의 짬이 나든 여유로운 오후가 통째로 있든, Freecash - Earn Rewards는 너의 하루에 딱 맞아. 이런 보상으로 잔액을 받을 수 있어: - PayPal 현금 - Amazon 기프트카드 …그 밖에도 많아! 항상 새로운 게임과 더 벌 기회가 있으니까, 재미는 멈추지 않아. 더 빨리 벌고 싶어? 친구 추천 프로그램으로 친구를 초대하면, 너도 보상을 받을 수 있어! 그러니 망설일 이유가 없지? 지금 바로 Freecash - Earn Rewards를 다운로드하고 플레이를 시작해. 간단한 앱과 유연한 출금 방식으로, 즐기면서 돈 버는 게 이렇게 쉬울 수가. Freecash - Earn Rewards — 재미있는 게임을 즐기고, 진짜 돈을 벌어봐. 전부 집에서 편하게.
Publisher websiteStore 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, 8:39 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: public-signal-ensemble-v2.
Confidence: Low; intervals widen when evidence or history is limited.
Last observation: Sep 7, 2026, 11:12 PM.
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Open methodology