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Oxford vocabulary 3000 - quiz, flashcard

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✍️ bumetric analysis

Oxford vocabulary 3000 - quiz, flashcard is an iOS app from Thanh Nguyen in the News category, currently rated across few ratings. Initial signal reads as no scraped reviews yet: judgment based on metadata only.

Our BU Score puts it at 0: Niche (micro-niche or pre-traction stage). For a News app, that means micro-niche or pre-traction stage.

Track changes month-over-month in the Performance section below: live snapshot history and revenue forecast included.

📊 Performance Tracking LIVE

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idle
0%
Rating
Reviews
Forecast Revenue / mo
Snapshots tracked
0
since first record
Range:

💰 Forecast Revenue / mo

MODEL
Revenue forecast computed from BU's 234 trigger model on each snapshot. Calibrated against ground-truth from 58 verified-revenue apps.
🔬Forecast Breakdown — Why This Estimate?Top 3 of 3 triggers
Our ML model uses 200+ signals from public data. These are the most influential for this app:
Paid app ($0.99)METRIC
+$2,800
Mature app (9y old)METRIC
+$1,500
Single-language (English only)METRIC
−$400
METRIC = structural app data · REVIEW = mined from user reviews · ✓ VERIFIED = Stripe-verified anchor (TrustMRR)

📈 Reviews Growth

LIVE
Cumulative review count from first BU snapshot. Each point = a tracked update.

⭐ Rating Trend

LIVE
Average rating evolution. Updates with each new review batch.

🗓️ Snapshot Timeline

HISTORY
Each bar shows a tracked update and the metric delta from the previous snapshot.
App Specs
🔐 Own this app? Claim & verify MRR →
💾 33 MB🔞 4+📱 iOS 7.0+🔖 v1.0🔄 updated 9y ago🌐 EN📂 News💰 Paid🚀 Launched 2016 (9y old)

📝 About this app

The oxford 3000 vocabulary is a list of the most 3000 important words, which students should put high priority to learn because of their importance and usefulness.

This app provides the list with various study tools to help you learn and remember this list.

▸ Etymology
- One of best way to learn new vocabulary is to learn its etymology. We provide etymology for each word so that you can learn where a word came from.

▸ Sentence bank
- Each word comes with a number of sentences. Sentence bank will help you learn how a word is actually used in context.

▸ Flashcard
- 67 decks
- Flip a card to see its meaning

▸ Quiz
- 67 quizzes
- Find a word that has meaning or fits in sentence in the question

▸ User-defined list
- Create your custom list

▸ Words of the day
- Learn 5 words daily

▸ Learn random words
- Learn 5 random words

▸ Basic features include:
- Easy navigation
- Bookmark a word
- Search a word

▸ If you want to suggest a new function or report an issue, please send feedback to us. Thank you!

🆕 What's New · v1.0

This update from Apple will improve the functionality of this app. No new features are included.

Profile & Insights

Everything we know — and don't — about this app and its company.

Identification

App name
Oxford vocabulary 3000 - quiz, flashcard
Developer
Thanh Nguyen
Bundle ID
anh.nguyen.oxford.vocabulary
App Store URL
Open in App Store
Category
News
Content rating
4+
Languages
EN

Company

Website
Not found
Tagline
Today
Description
Find apps and games for iPhone, iPad, Mac, and more on the App Store.
Founded
Not found
HQ / Address
Not found
Employees
Not found
Logo
OG image

Revenue

Verified revenue / mo
Not found
AI revenue estimate / mo
Not found
AI annual estimate
Not found
ML model estimate / mo
$144/mo
Top-grossing rank
Outside top 100 in US News
All-time revenue
Not found
Pricing
Not found

Founder

Name
Not found
X / Twitter
Not found
LinkedIn
Not found
GitHub
Not found
X followers
Not found
Public statements
Not found

Funding

Total raised
Not found
Last round
Not found
Investors
Not found
Crunchbase
Not found
AngelList
Not found

Press & Links

Articles found
Not found
Listed on
Not found
Blog
Not found
Press / News
Not found

Contacts & Socials

Socials
Not found
Email
Not found
Phone
Not found
Contact page
Not found
About page
https://apps.apple.com/us/iphone/story/id1533855222
🌍Geographic ReachNot ranked
This app is currently outside the top 100 grossing in all 9 countries we monitor (US, UK, DE, FR, JP, CA, AU, BR, IN). Niche or new apps often launch this way — popularity rankings appear once daily revenue clears the regional threshold.
Profile is built from iTunes Lookup + developer site scrape + ML revenue model. Empty fields show "Not found" — additional sources (Crunchbase, X, IndieHackers, Acquire.com) coming.

Similar apps in News

Full revenue analysis
Read the article-style breakdown for Oxford vocabulary 3000 - quiz, flashcard: category rank, percentile, growth signal, comparable apps, and how the forecast is calibrated against verified-MRR anchors in this niche.
Read deep-dive →