Easy zip - Manage zip/rar file
Research answer
What AppTrendKit can say about Easy zip - Manage zip/rar file today
Easy zip - Manage zip/rar file 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
- 6.23.3
- Released
- Oct 31, 2017
- Last updated
- Feb 9, 2026
- Content rating
- 17+
- 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
Zip file compression / decompression application for Japanese Launch in-application browser and send zip file attached to download / mail of zip to the application and easy to decompress. Extracted image file / movie file / document can be viewed in the application - Main functions - - Decompress and compress zip - Uncompress rar - Download corresponding files such as zip / rar with in-app browser - Open QR by reading QR code with in-app browser - doc xls Viewing document files such as pdf - Movie ・ Music file playback ・ Background playback - Browse jpeg / png / gif - Compression of camera roll files - File linkage with Dropbox - File linkage with iCloud - File linkage with other applications - Easy uploader function - Launch in-app browser using URL scheme - URL scheme easyzip:// - Main correspondence file format in in-app viewing is as follows - - File format that can be decompressed zip / rar / 7z - Compressible file format zip - Movie files mp4 / mov/ m4v / 3gp / wmv / avi /webm / mkv / mpeg / flv / ogv / ts - Audio file mp3 / aac / m4a / wav / aiff / aif / wma / spx / opus / flac - Image file gif / jpg / png / heic / tif / bmp - Other files xls / xlsx / doc / docx / pdf / rtf / txt / csv / url
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, 8:06 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, 8:06 PM.
See how AppTrendKit separates observations, estimates, coverage, and confidence.
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