65
π¦πΏπ¬π§ Azerbaijani English dictionary
π¦πΏπ¬π§ Azerbaijani English dictionary is an Android app from Hasanaga Mammadov in the Books & Reference category, currently rated 4.7β across 3,852 ratings. Initial signal reads as no scraped reviews yet: judgment based on metadata only.
Quality Score is 65: Solid (established niche player). For a Books & Reference app, that means established niche player. The full BU Investment Matrix below scores 8 dimensions including monetisation, growth, and operational risk.
Track changes month-over-month in the Performance section below: live snapshot history and revenue forecast included.
- Title & subtitle keyword fit
- Description hook & conversion structure
- Screenshots, ratings, reviews strategy
π Performance Tracking LIVE
Synthetic estimate. Inputs: category complexity, file size, screen count, monetization layer, platform reach, age Γ team-size proxy. Calibrated against 2024-2026 indie-agency rate surveys. Full math + source list on /methodology.
| π§±MVP baseline (design + 1-store ship) | +$28K |
| π±5 unique screens Γ $4.5K | +$22K |
| βBooks & Reference complexity Γ0.95 | $-2525 |
| πCross-platform reach (iOS + Android) | +$26K |
Synthetic estimate. Multiple band derived from ad-supported + age, rating quality, category demand, and user-base maturity. Calibrated against 2024-2026 indie-app-marketplace closed-deal medians. Full math + comparable deal list on /methodology.
| πΊAd-supported base | 15Γ MRR |
| ββ rating β₯ 4.7 (premium) | +15% |
| π·Books & Reference category multiple | -2% |
Synthetic estimate from ratings Γ category benchmarks. Calibrated against 2024-2026 mobile-attribution retention + DAU/MAU reports. Numbers are US-storefront-equivalent β true global audience can be 5-10Γ larger for international apps. Full math + source list on /methodology.
| π²Books & Reference engagement | ~110 installs / rating |
| πBooks & Reference D30 retention | 10% |
| πDAU / MAU stickiness | 0.20 |
Heuristic guess from app bundle size, category, store description signals, and release-date stack era. Bumetric does not disassemble binaries β for binary-level certainty you would need an SDK intelligence tool or the manifest itself. Reasoning chain on the right. Full ruleset on /methodology.
| π·Category context | Books & Reference |
| π¦Compact Android bundle | β Native Kotlin |
How we forecast this revenue
MEDIUM CONFIDENCEBU Investment Matrix
Below median Β· 49/100MID TIERunderperforming peers- π° Revenue: Modest β $3K - $7K/mo Β· MID tier Β· medium confidence, trajectory unclear.
- β Quality: 4.7β across 3,852 reviews β strong (top 10%).
- π Market: Not yet charting in any of the 9 monitored markets.
- π Growth: Insufficient signal to assess trajectory.
- β οΈ Risk: Low β no material risk signals detected.
π° Forecast Revenue / mo
MODEL| Excellent rating (4.7β )METRIC | +$2,200 | |
| Low install base (3,852 ratings)METRIC | +$1,500 | |
| Ad-supported / freemiumMETRIC | +$600 |
π Reviews Growth
LIVEβ Rating Trend
LIVETrack this appβs revenue
FREEProfile & Insights
Identification
- App name
- π¦πΏπ¬π§ Azerbaijani English dictionary
- Developer
- Hasanaga Mammadov
- Bundle ID
- info.hasanaga.azeeng
- App Store URL
- Open in App Store
- Category
- Books & Reference
- Content rating
- Not found
- Languages
- Not found
Company
- Website
- Not found
- Tagline
- Not found
- Description
- Not found
- Founded
- Not found
- HQ / Address
- Not found
- Employees
- Not found
- Logo
- Not found
Revenue
- Verified revenue / mo
- Not found
- AI revenue estimate / mo
- Not found
- AI annual estimate
- Not found
- ML model estimate / mo
- $911/mo
- Top-grossing rank
- Not found
- All-time revenue
- Not found
- Pricing
- Not found
