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How much does Learn most used English words earn?

Android app from Aliaksandr Uvarau · Education

ML forecast ★ 4.7 · 124K Free

~2.4K/mo

ML revenue forecast. Calibrated against 120891 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.

Learn most used English words screenshot 1 Learn most used English words screenshot 2 Learn most used English words screenshot 3 Learn most used English words screenshot 4

Learn most used English words's revenue trajectory

Forecast revenue from snapshot history. Last 1 months.

Where Learn most used English words sits in Education

Revenue distribution of 120891 comparable apps. Learn most used English words highlighted.

Learn most used English words vs comparable apps

Revenue trajectory side-by-side. Bold = Learn most used English words, ghosted = peers.

App spec

Version
4.7
Last update
Dec 13, 2025
Launched
May 06, 2026
Price
Free
Monetization
Free

What Learn most used English words actually does (from store listing)

In order to communicate fluently in any language, no need to memorize thousands of words. There are statistics, under which 90% of our speech, no matter our age, educational level and the language in which we speak is made up of 300-350 words. In this application, we have compiled the most frequently used 300 English words.

Comparable Android apps

The five apps in Education with the closest revenue to Learn most used English words. Click any to see its detail page.

AppRevenueRatingRatings
Dr. Panda Town Tales icon Dr. Panda Town Tales 2.4K ★ 4.7 124K
ISS Detector Satellite Tracker icon ISS Detector Satellite Tracker 2.4K ★ 4.8 120K
MagTapp - Browser, PDF, Learn icon MagTapp - Browser, PDF, Learn 2.4K ★ 4.2 142K
Ôn thi GPLX 600 Câu 2025 (Pro) icon Ôn thi GPLX 600 Câu 2025 (Pro) 2.4K 0
Learn Thai Alphabet Pro icon Learn Thai Alphabet Pro 2.4K 0
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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 Learn most used English words's tracker page for current rating, reviews and snapshot timeline.

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