Who makes 전자출결 중부대학교용?

전자출결 중부대학교용 is published by xidsystem, launched on May 09, 2016.

Where does 전자출결 중부대학교용 rank in its category?

전자출결 중부대학교용 ranks #49306 of 120891 apps in Education, putting it in the top 40.8% by revenue.

How much does 전자출결 중부대학교용 earn?

Q: How much does 전자출결 중부대학교용 earn?

전자출결 중부대학교용 earns approximately 183 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

~183/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 #49,306 of 120,891 in Education (top 40.8% by revenue).
Launched May 09, 2016.

What the app looks like

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

전자출결 중부대학교용's revenue trajectory

Forecast revenue from snapshot history. Last 1 months.

Where 전자출결 중부대학교용 sits in Education

Revenue distribution of 120891 comparable apps. 전자출결 중부대학교용 highlighted.

전자출결 중부대학교용 vs comparable apps

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

App spec

Version

Varies with device

Launched

May 09, 2016

Price

Free

Monetization

Free

What 전자출결 중부대학교용 actually does (from store listing)

This is a mobile attendance check and attendance management application for Joongbu University.

Comparable Android apps

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

App	Revenue	Rating	Ratings
LS Idiomas	183	—	0
Graphics Academy	183	—	0
Morey Commerce Classes	183	—	0
EPS TOPIK - Prep Master	183	★ 4.6	5K
In Da House: Learn Household I	183	★ 4.9	44

Own 전자출결 중부대학교용? 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 전자출결 중부대학교용'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 →