Screen Time Tracker
Research answer
What AppTrendKit can say about Screen Time Tracker today
Screen Time Tracker 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 · 30D
Upper limitUnder 50K
Below the top 100 in Productivity (US)
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.
Estimated App Store gross consumer spend · 30D
Upper limitUnder $500K
Below the top 100 in Productivity (US)
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.
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 methodApp Store search
Keywords Screen Time Tracker ranks for
Observed positions in Apple's US search results, best first. Popularity is a 0–100 index, not a search count.
| Keyword | Position | Change | Popularity | Difficulty |
|---|---|---|---|---|
| screen time | #6 | new | — | — |
Storefront 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
- 2.1
- Released
- Dec 17, 2024
- Last updated
- Oct 21, 2025
- Content rating
- 4+
- Default storefront
- US
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
Your new screen time companion to stop using unproductive apps and block distracting websites. Completely free with no ads or in-app purchases. KEY FEATURES Some apps are productive! Filter them out to help you decrease your unproductive screen time. Apple’s default app blocker is too easy to override! Choose apps and websites to block completely. Visualise your screen time on beautiful, interactive charts. Review your screen time usage progress over last four weeks. See exactly which apps consume your time. All your screen time data is kept completely private and only visible to you - not even the developer. PERFECT FOR STUDENTS - Allow productive study apps and block entertainment and social media PROFESSIONALS - track your work vs personal device usage ANYONE who wants to decrease the amount of time they spend on their device.
Publisher websiteStore creative
Screenshots
Competitive set
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Deterministic links to real stored apps matched by category, publisher, and comparable performance bands.
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How we estimate
Where every number comes from
App details: Apple iTunes Search API, updated Sep 27, 2026, 9:15 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 27, 2026, 9:15 PM.
See how AppTrendKit separates observations, estimates, coverage, and confidence.
Open methodology