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Too Noisy Starter icon

How much does Too Noisy Starter earn?

Android app from EDTECH MONSTER LIMITED · Educational

ML forecast ★ 2.6 · 485 Free

~394/mo

ML revenue forecast. Calibrated against 11637 apps in this category.

Confidence band
±15%
High — many comparable apps with verified data

At a glance

What the app looks like

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

Too Noisy Starter screenshot 1 Too Noisy Starter screenshot 2 Too Noisy Starter screenshot 3 Too Noisy Starter screenshot 4

Too Noisy Starter's revenue trajectory

Forecast revenue from snapshot history. Last 1 months.

Where Too Noisy Starter sits in Educational

Revenue distribution of 11637 comparable apps. Too Noisy Starter highlighted.

Too Noisy Starter vs comparable apps

Revenue trajectory side-by-side. Bold = Too Noisy Starter, ghosted = peers.

App spec

Version
1.0.7
Last update
Jun 07, 2021
Launched
May 06, 2014
Price
Free
Monetization
Free

What Too Noisy Starter actually does (from store listing)

Anyone who has attempted to keep the noise levels under control of a group of youngsters will appreciate this simple, fun and engaging app. This is a fun app that children enjoy and respond to. It's a real boon to any adult who needs to control the levels of noise of a group of children. "Too Noisy" displays graphically the background noise level in a room in a fun and engaging way....please note: This Lite version of the "Too Noisy" app does not include audible alarms. For this (as well…
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Comparable Android apps

The five apps in Educational with the closest revenue to Too Noisy Starter. Click any to see its detail page.

AppRevenueRatingRatings
日語N5單字-吉原花巷 icon 日語N5單字-吉原花巷 394 ★ 4.7 385
Malayalam GK Quiz - SAVINAYAM icon Malayalam GK Quiz - SAVINAYAM 394 0
Marbel Fashion Show icon Marbel Fashion Show 395 0
Test oposición constitución ES icon Test oposición constitución ES 393 0
Crazy Lab Scientist Experiment icon Crazy Lab Scientist Experiment 395 ★ 2.7 809
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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 Too Noisy Starter's tracker page for current rating, reviews and snapshot timeline.

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