Who makes 공주대학교 전자출결?

공주대학교 전자출결 is published by xidsystem, launched on Jan 30, 2017.

Where does 공주대학교 전자출결 rank in its category?

공주대학교 전자출결 ranks #54543 of 120891 apps in Education, putting it in the top 45.1% by revenue.

How much does 공주대학교 전자출결 earn?

Q: How much does 공주대학교 전자출결 earn?

공주대학교 전자출결 earns approximately 171 per month based on bumetric's ML revenue forecast, calibrated against 120891 comparable Android apps in Education.

Android app from xidsystem · Education

ML forecast Free

~171/mo

ML revenue forecast. Calibrated against 120891 apps in this category.

Confidence band

±15%

High — many comparable apps with verified data

At a glance

Tracks close to the Android app category median (159/mo).
Ranks #54,543 of 120,891 in Education (top 45.1% by revenue).
Launched Jan 30, 2017.

What the app looks like

Live screenshots from the Play Store, captured by our snapshot worker. Tap any image to enlarge.

공주대학교 전자출결's revenue trajectory

Forecast revenue from snapshot history. Last 1 months.

Where 공주대학교 전자출결 sits in Education

Revenue distribution of 120891 comparable apps. 공주대학교 전자출결 highlighted.

공주대학교 전자출결 vs comparable apps

Revenue trajectory side-by-side. Bold = 공주대학교 전자출결, ghosted = peers.

App spec

Version

Varies with device

Launched

Jan 30, 2017

Price

Free

Monetization

Free

What 공주대학교 전자출결 actually does (from store listing)

Kongju University is a mobile attendance check and attendance management application.

Comparable Android apps

The five apps in Education with the closest revenue to 공주대학교 전자출결. Click any to see its detail page.

App	Revenue	Rating	Ratings
Square, Cube, Root & Factorial	171	—	0
Plant Lens - Plant Identifier	171	★ 2.6	110
Learn Catalan - 11,000 Words	171	★ 4.8	340
Intro to Incident Command, FF	171	★ 4.4	41
World GK Pro	171	—	0

Own 공주대학교 전자출결? Replace our estimate with your real revenue via Stripe Connect or ASC. Get a public Verified badge.

Claim & verify →

How we calculated this

Each forecast combines App Store rating, ratings count, monetisation model, pricing tier, IAP signals and ad-supported flag. The base estimate is then multiplied by a per-category scaling factor learned from apps with founder-verified MRR. Every number on this page comes from public APIs and bumetric's own snapshot history.

Full methodology covers input variables, accuracy bands per category and how we treat apps without comparable anchors. See also the live data on 공주대학교 전자출결's tracker page for current rating, reviews and snapshot timeline.

Building something similar? Get a free AI audit with $-revenue forecasts for every recommendation.

Audit my app →