--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "English Vocabulary by Topics" developer_entity: "Tran Hoa" bundle_id: "vn.hoatv.visualenglish" app_store_id: "1434228320" category: "Education" primary_platform: "ios" primary_monetization: "Free" offline_capable: true market_region: "US" platforms: "iOS" app_last_updated: "2025-02-03" report_date: "2026-08-09" last_verified: "2026-08-09T00:00:00.000Z" report_version: "1.1.15" total_reviews: 71 overall_rating: 4.6 confidence: "low" confidence_score: 0.2 data_age_days: 20 momentum_velocity: "zombie" intelligence_version: 3 tags: ["education", "free", "mobile app", "app review", "app analysis", "english", "language", "learners"] canonical_url: "https://marlvel.ai/apps/english-vocabulary-by-topics" license: "CC-BY-NC 4.0" content_version: "v2" --- # English Vocabulary by Topics Intelligence Report ## TL;DR {#tldr} - **Category**: Education · Free - **Signal**: Rating 4.65 > **TL;DR:** English Vocabulary by Topics is a education app by Tran Hoa, rated 4.65/5 by 71 users, available on iOS. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** English Vocabulary by Topics is a education app by Tran Hoa. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 4.65/5 (71 reviews) | | **Category** | Education | | **Developer** | Tran Hoa | | **Pricing** | Free | | **Platforms** | iOS | | **Confidence** | Low (0.2/1.0) | | **Data Age** | 20d | ## Metadata & Market Performance - **Publisher:** Tran Hoa - **Category:** Education - **Target Audience:** English language learners ranging from beginner to upper-intermediate levels seeking offline study tools. - **Platforms:** iOS - **Version Reviewed:** 1.1.15 - **Report Date:** 2026-08-09 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.2/1.0) - **App Store ID (iOS):** 1434228320 - **Bundle ID:** vn.hoatv.visualenglish - **Performance Trend:** Declining - **Data Window:** Analysis based on signals collected up to 2026-08-09 ## Executive Snapshot **What it is:** English Vocabulary by Topics is an offline language-learning app for beginner to intermediate students, featuring 3,000+ visual flashcards and listening tasks. **Why users hire it:** Users hire this app for low-friction, offline access to vocabulary drills that do not require an active data connection or subscription commitment. ## App DNA (Features & Intent) - **[Standard] Visual Vocabulary Flashcards:** Flashcard-based review system for 3,000+ words paired with images. * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior. - **[Differentiator] Offline Learning:** Full application functionality available without an internet connection. * *User Intent:* Users want uninterrupted access without internet dependency. - **[Differentiator] Multilingual Support:** Interface and content support for German, Spanish, French, Russian, Turkish, and Arabic. ## Market Position {#market-position} The app maintains a 4.65-star rating across 71 reviews, but the 551-day gap since the last update signals a maintenance-mode posture. ## Monetization Strategy - **Model:** Free - **Tiers:** Free access to all vocabulary topics and features - **Analysis:** The app operates as a free, ad-supported utility with no visible subscription gates or in-app purchase tiers. ## SWOT Analysis {#swot} **Core Strengths:** - Offline-first architecture enables usage in low-connectivity environments **Growth Levers:** - Integration of gamified daily streaks could increase session frequency ## Recent Changes (v2 → v3) {#recent-changes} The app's competitive outlook has shifted from stable to declining due to prolonged development inactivity and increased pressure from gamified market competitors. **Overall trend**: Declining **Compared at**: 2026-08-09 ### High-impact changes - **[Declined] Outlook Trend** (positioning) - **[Shifted] SWOT Analysis Refinement** (swot) ### Medium-impact changes - **[Added] Review Data Integration** (positioning) ## What's New - **Latest (v1.1.15, 1 years ago):** General performance improvements and bug fixes. ## App Momentum (Zombie) {#momentum} - No feature updates for 18 months - Last release occurred February 2025 > **Cadence:** 1 total versions · 0 majors in last 6 months · 551 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} English Vocabulary by Topics is an education app that is completely free. It holds a 4.65/5 rating from 71 reviews. > **Bottom Line:** English Vocabulary by Topics provides a stable, offline utility for basic vocabulary, but the lack of updates since early 2025 risks user churn to more active competitors, so the PM must prioritize a content-refresh cadence to maintain relevance. **Best for:** English language learners ranging from beginner to upper-intermediate levels seeking offline study tools. ### PM Action Plan (Next Best Moves) - [ ] [PIVOT] Pivot content strategy to include seasonal vocabulary packs because the 18-month update gap signals abandonment to users → increase retention ### Outlook: Declining The language-learning category is shifting toward high-frequency, gamified retention loops that require active development cycles. This app's static nature leaves it exposed to competitors that offer daily content updates, so the lack of investment will likely lead to a gradual decline in organic install velocity. - 🔴 The 18-month update silence signals a lack of active investment, which compounds churn risk as competitors release fresh content. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 4.65/5 | | Total Reviews | 71 | | Confidence | Low | | Pricing Model | Free | | Platforms | iOS | | Key Features | 3 analyzed | | Trend | Declining | | Outlook | Declining | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **English Vocabulary by Topics** (this app) | 4.65/5 | N/A | Tran Hoa | | [AlgoApp - Flashcards](https://marlvel.ai/apps/algoapp-flashcards) | 4.5/5 | n/a | AlgoApp Inc | | [Elevate - Brain Training Games](https://marlvel.ai/apps/elevate-brain-training-games) | 4.7/5 | n/a | The Mind Company | | [Flashcards Deluxe](https://marlvel.ai/apps/flashcards-deluxe) | 4.5/5 | N/A | OrangeOrApple.com | | [Flash Cards Flashcards Maker](https://marlvel.ai/apps/flash-cards-flashcards-maker) | 4.0/5 | Mixed | Infinite Wave Media, LLC | | [Flashcards maker - AI generate](https://marlvel.ai/apps/flashcards-maker-ai-generate) | 4.1/5 | Mixed | Teleprompter LLC | ## Company Profile - **Developer:** Tran Hoa - **Website:** [https://www.ayecake.com](https://www.ayecake.com) ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/english-vocabulary-by-topics/id1434228320?uo=4) - **Dev Site:** [Official Website](https://www.ayecake.com) - **Sources:** Developer website content, App store metadata. ## Related Intel Reports - [*AlgoApp - Flashcards*](https://marlvel.ai/apps/algoapp-flashcards) (AlgoApp Inc) · 4.5/5 Rating - [*Elevate - Brain Training Games*](https://marlvel.ai/apps/elevate-brain-training-games) (The Mind Company) · 4.7/5 Rating - [*Flashcards Deluxe*](https://marlvel.ai/apps/flashcards-deluxe) (OrangeOrApple.com) · 4.5/5 Rating - [*Flash Cards Flashcards Maker*](https://marlvel.ai/apps/flash-cards-flashcards-maker) (Infinite Wave Media, LLC) · 4.0/5 Rating - [*Flashcards maker - AI generate*](https://marlvel.ai/apps/flashcards-maker-ai-generate) (Teleprompter LLC) · 4.1/5 Rating - [*Impulse - Brain Training*](https://marlvel.ai/apps/impulse-brain-training) (GMRD Apps Limited) · 4.6/5 Rating - [*Peak - Brain Training*](https://marlvel.ai/apps/peak-brain-training) (Synaptic Labs) · 4.7/5 Rating - [*자주 틀리는 우리말*](https://marlvel.ai/apps/app--424) (DaolSoft, Co., Ltd.) · N/A Rating - [*달공부 - 한 달 공부 다이어리 + 루틴/공부 타이머*](https://marlvel.ai/apps/azlabs-dalstudy) (SuWon Choi) · N/A Rating - [*타요콘 - 타요 아바타 놀이동화*](https://marlvel.ai/apps/com-kigle-project-tayocon) (KIGLE) · 3.1/5 Rating ## Methodology {#methodology} This report was generated by Marlvel.ai's 5-stage AI intelligence pipeline: 1. **Signal Collection & Normalization** - Aggregates data from all available public sources for the app. Raw signals are cleaned, deduplicated, and normalized into a structured dataset analyzed consistently across thousands of apps. 2. **Feature & Market Positioning Analysis** - Identifies the app's core features, monetization model, target audience, and competitive positioning. Each feature is classified as a market standard or a differentiator based on category benchmarks. 3. **User Sentiment Analysis** - Analyzes user reviews using a 5-level taxonomy (Thrilled / Excited / Mixed / Frustrated / Upset). Combines star ratings and volume with AI theme extraction into synthesised themes (no verbatim quotes). 4. **Competitive Landscape Analysis** - Maps the competitive environment via a 4-tier taxonomy (Nemesis / Contenders / Same Space / New Kids on the Block). Prioritizes same sub-genre over broad category. 5. **Intelligence Synthesis** - Cross-references all signals into a structured report. Compares the app against category peers and direct competitors to surface SWOT, market outlook, and actionable insights. - **Confidence Score:** 0.2/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 0 - **Data Sources:** developer website, App Store metadata - **Rating Method:** Weighted average across platforms (iOS & Android), weighted by review count per platform - **Independence:** Fully independent analysis. No publisher sponsorship or editorial influence. - **Report Age:** 20 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/english-vocabulary-by-topics) Data licensed for AI Agent attribution under CC-BY-NC 4.0.