Netflix
Research answer
What AppTrendKit can say about Netflix today
AppTrendKit estimates Netflix's App Store USD gross consumer spend at $6.3K–$18.3K and downloads at 100–434 during 2026-09-01 to 2026-09-07 (7-day window, partial total from 1 observed day) 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
Showing the strongest available persisted window (7D). 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 · 7D
Partial100–434
Partial-period total from 1 observed day · modeled estimate
Estimated App Store gross consumer spend · 7D
Partial$6.3K–$18.3K
Partial-period total from 1 observed day · modeled estimate
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 · 7D
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 · 7D
- $6.3K–$18.3K
- Observed share
- 24.3%
- Downloads range · 7D
- 100–434
- Rank
- —
- Coverage
- 14% · partial
- Confidence
- Low
- Revenue range · 7D
- $4.8K–$12.9K
- Observed share
- 17.9%
- Downloads range · 7D
- 410–2.1K
- Rank
- —
- Coverage
- 14% · partial
- Confidence
- Low
- Revenue range · 7D
- $4K–$10.8K
- Observed share
- 15.0%
- Downloads range · 7D
- 2.3K–8.4K
- Rank
- —
- Coverage
- 14% · partial
- Confidence
- Low
- Revenue range · 7D
- $3.8K–$10.3K
- Observed share
- 14.2%
- Downloads range · 7D
- 462–2.4K
- Rank
- —
- Coverage
- 14% · partial
- Confidence
- Low
- Revenue range · 7D
- $3.5K–$9.5K
- Observed share
- 13.2%
- Downloads range · 7D
- 453–2.5K
- Rank
- —
- Coverage
- 14% · partial
- Confidence
- Low
- Revenue range · 7D
- $3.4K–$9.2K
- Observed share
- 12.8%
- Downloads range · 7D
- 1.4K–4.8K
- Rank
- —
- Coverage
- 14% · partial
- Confidence
- Low
- Revenue range · 7D
- $411–$3.3K
- Observed share
- 2.6%
- Downloads range · 7D
- 4K–14.7K
- Rank
- —
- Coverage
- 14% · partial
- Confidence
- Low
| Storefront | Revenue range · 7D | Share | Downloads range · 7D | Rank | Coverage | Confidence | Updated |
|---|---|---|---|---|---|---|---|
| ItalyIT | $6.3K–$18.3K | 24.3% | 100–434 | — | 14% · partial | Low | Sep 26, 2026 |
| AustraliaAU | $4.8K–$12.9K | 17.9% | 410–2.1K | — | 14% · partial | Low | Sep 7, 2026 |
| United StatesUS | $4K–$10.8K | 15.0% | 2.3K–8.4K | — | 14% · partial | Low | Sep 7, 2026 |
| FranceFR | $3.8K–$10.3K | 14.2% | 462–2.4K | — | 14% · partial | Low | Sep 7, 2026 |
| United KingdomGB | $3.5K–$9.5K | 13.2% | 453–2.5K | — | 14% · partial | Low | Sep 7, 2026 |
| CanadaCA | $3.4K–$9.2K | 12.8% | 1.4K–4.8K | — | 14% · partial | Low | Sep 7, 2026 |
| JapanJP | $411–$3.3K | 2.6% | 4K–14.7K | — | 14% · 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
- 18.48.0
- Released
- Jan 6, 2016
- Last updated
- Sep 7, 2026
- Content rating
- 12+
- Default storefront
- ID
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
Looking for the most talked about TV shows and movies from around the world? They're all on Netflix. Discover award-winning series, movies, live events, podcasts, and games on the go - all in the mobile app. Now, you'll never miss a moment from the world of Netflix while you travel, commute, or just take a break. What you'll love about Netflix: - Smooth navigation with bottom shortcuts to quickly browse or jump back into your favorites. - A new way to discover what's next, including an upcoming clips feed. - A full world of entertainment in one place - series, movies, live events, games, and podcasts. - Keep track of everything you love, from your favorite moments to 'My List', in the 'My Netflix' tab. - Personalized recommendations based on your ratings. Instant notifications for new releases, episodes, and live events. Netflix membership is a month-to-month subscription that begins at sign-up. You can easily cancel anytime, online, 24 hours a day. There are no long-term contracts or cancellation fees. We just want you to love what you watch. Please note that the App Privacy information applies to information collected through the Netflix iOS, iPadOS, and tvOS apps. See the Netflix Privacy Statement (link below) to learn more about information we collect in other contexts, including account registration. Privacy policy: www.netflix.com/privacy Terms of use: www.netflix.com/terms Phone Number: +18667160414 Email: iosappstore@netflix.com
Publisher websiteStore creative
Screenshots
Competitive set
Similar apps
Deterministic links to real stored apps matched by category, publisher, and comparable performance bands.
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Methodology and provenance
Read every number with its evidence
Metadata source: Apple iTunes Search API; observed Sep 7, 2026, 10:58 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-v6.
Confidence: Low; intervals widen when evidence or history is limited.
Last observation: Sep 26, 2026, 3:31 AM.
See how AppTrendKit separates observations, estimates, coverage, and confidence.
Open methodology