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How much does common English Vocabulary earn?

Android app from Titan Software Ltd. · Education

ML forecast ★ 4.6 · 269 Free

~304/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.

common English Vocabulary screenshot 1 common English Vocabulary screenshot 2 common English Vocabulary screenshot 3 common English Vocabulary screenshot 4

common English Vocabulary's revenue trajectory

Forecast revenue from snapshot history. Last 1 months.

Where common English Vocabulary sits in Education

Revenue distribution of 120891 comparable apps. common English Vocabulary highlighted.

common English Vocabulary vs comparable apps

Revenue trajectory side-by-side. Bold = common English Vocabulary, ghosted = peers.

App spec

Version
1.1.26
Last update
Jul 17, 2024
Launched
Jan 30, 2019
Price
Free
Monetization
Free

What common English Vocabulary actually does (from store listing)

Contain three thousands core English words which will help you learn all essential vocabulary, TOEIC vocabulary before your TOEIC , IELTS, TOEFL test. FEATURES ☞ Audio content ☞ OFFLINE and FREE ☞ Remind learning words ☞ Nice user interface, easy to use ☞ Easy to manage remember words ☞ Including many kind of test practice which help you easy to remember the words

Comparable Android apps

The five apps in Education with the closest revenue to common English Vocabulary. Click any to see its detail page.

AppRevenueRatingRatings
Reading Skills icon Reading Skills 304 ★ 4.2 232
Wayne State Mobile icon Wayne State Mobile 304 ★ 2.4 386
Reasoning for Competitive Exam icon Reasoning for Competitive Exam 304 0
R+m.Task 2.0 (ROBOTIS) icon R+m.Task 2.0 (ROBOTIS) 304 0
Math Tables icon Math Tables 304 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 common English Vocabulary's tracker page for current rating, reviews and snapshot timeline.

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