Research answer
What AppTrendKit can say about IDnow AutoIdent today
IDnow AutoIdent has no estimate-backed download or gross-consumer-spend figure that meets the public evidence contract yet.
Observed App Store metadata, chart positions, and history are shown below. Missing, non-finite, undefined-currency, or undefined-metric evidence stays missing rather than becoming zero.
Performance
Downloads, revenue and chart history
Estimates for the last 7D. Chart positions come from the App Store; downloads and revenue are AppTrendKit estimates, shown as a size band (for example 10K–50K) with a confidence level.
Estimated downloads · 7D
UnavailableNo estimate yet
We only show an estimate once we have enough data. Missing numbers are never shown as zero.
Estimated App Store gross consumer spend · 30D
Upper limitUnder $2K
Below the top 100 in Business (DE)
The app is not in its category's top 100, so it has less than the app ranked #100 there. We show this limit until we have enough data for an estimate.
History
Collected daily performance
No daily history yet.
Rank history
Chart positions
Lower rank is better. Only collected observations are shown.
- Free
- #12
- Paid
- —
- Grossing
- —
- Free
- #13
- Paid
- —
- Grossing
- —
| Date | Free | Paid | Grossing |
|---|---|---|---|
| Sep 27, 2026 | #12 | — | — |
| Sep 29, 2026 | #13 | — | — |
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 figures cover the days we collected in each country, so they don't add up to the worldwide estimate. Each country shows when it was last updated.
Monetization
How the app makes money
These are listing and product observations. They are not company revenue, subscriber counts, or advertising revenue.
App details
Store metadata
- Version
- 5.22.0
- Released
- Oct 13, 2018
- Last updated
- Jul 23, 2026
- Content rating
- 4+
- Default storefront
- DE
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
Sie können sich mit IDnow AutoIdent ganz bequem von zuhause oder unterwegs aus identifizieren lassen. Alles, was Sie benötigen sind Ihr Smartphone sowie eine stabile Internetverbindung und Ihr gültiges Ausweisdokument. Ohne Wartezeiten erfolgt die Identifizierung autonom mit dieser App. Bitte folgen Sie dazu genau den Anweisungen auf dem Bildschirm. Sie werden Schritt für Schritt durch den Prozess geleitet. Dies dauert in der Regel ca. 2 Minuten und ist für Sie kostenlos. IDnow läuft auf Apple Geräten ab Modell 5 und mit mindestens iOS 10. IDnow ist internationaler Experte für Ident- und eSigning-Lösungen. Weitere Informationen erhalten Sie auf unserer Webseite www.idnow.io Bitte beachten Sie, dass IDnow auch noch die App VideoIdent anbietet. Falls Ihr Token auf dem Startbildschirm nicht akzeptiert wird, kann es sein, dass Sie die IDnow VideoIdent App nutzen müssen.
Publisher websiteStore creative
Screenshots
Competitive set
Similar apps
Deterministic links to real stored apps matched by category, publisher, and comparable performance bands.
IDnow Online-Ident
IDnow Gmbh
IDnow Verify
IDnow Gmbh
Microsoft Teams
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DoorDash - Dasher
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智联招聘-招聘找工作求职招人软件
Beijing Zhiliansanke Talent Service Co., Ltd.
Glassdoor | Jobs & Careers
Glassdoor, Inc.
Amazon A to Z
AMZN Mobile LLC
How we estimate
Where every number comes from
App details: Apple iTunes Search API, updated Sep 27, 2026, 11:03 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: Lineage not exposed by this aggregate.
Confidence: —; intervals widen when evidence or history is limited.
Last updated: Sep 29, 2026, 3:40 AM.
See how AppTrendKit separates observations, estimates, coverage, and confidence.
Open methodology