LED TV Photo Frames

60
LED TV Photo Frames is an Android app from RamkumarApps in the Photography category, currently rated 4.8β across 272 ratings. Initial signal reads as largely positive sentiment, users highlighting consistency and feature depth.
Quality Score is 60: Solid (established niche player). For a Photography 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 |
| β Photography complexity Γ1.35 | +$17K |
| π Cross-platform reach (iOS + Android) | +$37K |
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.
| πΊ Ad-supported base | 15Γ MRR |
| β β rating β₯ 4.7 (premium) | +15% |
| β Small user base (<1K ratings) | -8% |
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.
| π² Photography engagement | ~120 installs / rating |
| π Photography D30 retention | 15% |
| π DAU / MAU stickiness | 0.25 |
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: 4.82β across 272 reviews β solid.
- π Market: Not yet charting in any of the 9 monitored markets.
- π Growth: last update 230d ago β slow cadence.
- β οΈ Risk: Low β no material risk signals detected.
π° Forecast Revenue / mo
MODEL| Excellent rating (4.8β )METRIC | +$2,200 | |
| excellent appREVIEW | +$1,500 | |
| Mature app (8y old)METRIC | +$1,500 | |
| Ad-supported / freemiumMETRIC | +$600 | |
| Early-stage install base (272 ratings)METRIC | +$400 |
π Reviews Growth
LIVEβ Rating Trend
LIVEProfile & Insights
Identification
- App name
- LED TV Photo Frames
- Developer
- RamkumarApps
- Bundle ID
- com.ram.ledtvphotoframes
- App Store URL
- Open in App Store
- Category
- Photography
- Content rating
- Not found
- Languages
- Not found
Company
- Website
- myframes.biz
- Tagline
- Not found
- Description
- Not found
- Founded
- Not found
- HQ / Address
- Not found
- Employees
- Not found
- Logo
- Not found
Revenue
- Reported revenue signal / mo
- Not found
- AI revenue estimate / mo
- Not found
- AI annual estimate
- Not found
- Model estimate / mo
- $5.0K/mo
- Top-grossing rank
- Not found
- All-time revenue
- Not found
- Pricing
- Not found
Founder
Funding
Press & Links
Contacts & Socials
π About this app
Transform your memories with the incredible LED TV Photo Frames app! Showcase your favorite photos on sleek LED TV frames and give them a modern twist with our unique editing tools. From TV Photo Editor to Digital Frame Editor options, this app brings the charm of a Smart TV photo frame right to your device. Whether it's a Modern TV Frame or a TV Background Frame that youβre after, this app has it all! Add a touch of elegance to your pictures with LED TV Screen Frames and Flat-screen TV Photo Frames that perfectly fit your style. πΈβ¨β¦ View full description on the official store β
Track this appβs revenue
FREEπ Description
95
More by RamkumarApps
View all βWhy medium confidence: 272 ratings Β· no founder-verified revenue (model estimate only).



