Research answer
What AppTrendKit can say about Zip & Rar today
Zip & Rar 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 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
ModeledNo persisted estimate
The page does not turn missing evidence into zero.
Estimated App Store gross consumer spend · 30D
ModeledNo persisted estimate
The page does not turn missing evidence into zero.
Estimated downloads · 7D
ModeledNo persisted estimate
The page does not turn missing evidence into zero.
Estimated App Store gross consumer spend · 7D
ModeledNo persisted estimate
The page does not turn missing evidence into zero.
Evidence history
Collected daily performance
No daily metric history has been persisted yet.
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.
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
- 1.0.4
- Released
- Apr 27, 2019
- Last updated
- Jun 19, 2019
- Content rating
- 4+
- Default storefront
- UA
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
Zip & Rar lets you extract any archive file in seconds! Import any zip, rar, tar, tar.gz, or 7z file from your phone or computer and view its content without any hassle. Browse your files and compress them into both regular and password-protected zip files. All for free! With support for most compression formats (including zip, rar, tar, tar.gz, and 7z), Zip & Rar is the most convenient way to open, view, and compress archive files on your iOS device. Import an archive file to the app, either right from another app (e.g. Mail, Dropbox, or Safari) or through the file manager, and with one tap you are able to view and modify its content. You can also import select files to the app to be compressed (with or without password). Zip & Rar comes with a full-featured file management system that makes it easy to manage multiple archives at once. We are continuously working to add new functionality to the app. At the moment, Zip & Rar offers the following features. • Extract zip, rar, tar, tar.gz, and 7z archive files. • Support for password-protected archives. • Create new zip files, either with or without password. • Import archive files straight from other apps. • Import files from your computer using Wi-Fi transfer. • Import images from Photo Library. • Organize files and archives into folders. • Preview documents, images, and videos with built-in media player. • Copy and duplicate files into other folders. • Export files and archives to any other app. If you find this app useful, please take the time to write us a review. We would love to hear from you!
Store 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, 8:14 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: —; intervals widen when evidence or history is limited.
Last observation: Sep 7, 2026, 8:14 PM.
See how AppTrendKit separates observations, estimates, coverage, and confidence.
Open methodology



