todocoleccion: Second-hand

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todocoleccion: Second-hand
todocoleccion: Second-hand is an Android app from todocoleccion in the Shopping category, currently rated 4.7★ across 20,497 ratings. Initial signal reads as mixed reviews: supporters praise core features while critics cite stability and value gaps.
Quality Score is 73: Strong (healthy traction). For a Shopping app, that means healthy traction. 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
📊 Performance Tracking LIVE
Synthetic estimate. Inputs: category complexity, file size, screen count, monetization layer, platform reach, age × team-size proxy. Calibrated against 2024-2026 indie-agency rate surveys. Full math + source list on /methodology.
| 🧱MVP baseline (design + 1-store ship) | +$28K |
| 📱5 unique screens × $4.5K | +$22K |
| ⚙Shopping complexity ×1.30 | +$15K |
| 🌐Cross-platform reach (iOS + Android) | +$36K |
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.
| 📺Ad-supported base | 15× MRR |
| ⭐★ rating ≥ 4.4 (solid) | +8% |
| 🏷Shopping category multiple | +2% |
Synthetic estimate from ratings × category benchmarks. Calibrated against 2024-2026 mobile-attribution retention + DAU/MAU reports. Numbers are US-storefront-equivalent — true global audience can be 5-10× larger for international apps. Full math + source list on /methodology.
| 📲Shopping engagement | ~100 installs / rating |
| 🔁Shopping D30 retention | 12% |
| 📍DAU / MAU stickiness | 0.18 |
How we forecast this revenue
MEDIUM CONFIDENCEBU Investment Matrix
Below median · 47/100MID TIERunderperforming peers- 💰 Revenue: Modest — $3K - $7K/mo · MID tier · medium confidence, trajectory unclear.
- ⭐ Quality: 4.67★ across 20,497 reviews — exceptional (top 1% in category).
- 📍 Market: Not yet charting in any of the 9 monitored markets.
- 📈 Growth: dev shipping weekly.
- ⚠️ Risk: Low — no material risk signals detected.
💰 Forecast Revenue / mo
MODEL| Mid install base (20,497 ratings)METRIC | +$5,500 | |
| Excellent rating (4.7★)METRIC | +$2,200 | |
| Mature app (11y old)METRIC | +$1,500 | |
| Ad-supported / freemiumMETRIC | +$600 |
📈 Reviews Growth
LIVE⭐ Rating Trend
LIVEProfile & Insights
Identification
- App name
- todocoleccion: Second-hand
- Developer
- todocoleccion
- Bundle ID
- com.jaraxa.todocoleccion
- App Store URL
- Open in App Store
- Category
- Shopping
- Content rating
- Not found
- Languages
- Not found
Company
- Website
- www.todocoleccion.net
- 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
- $1.1K/mo
- Top-grossing rank
- Not found
- All-time revenue
- Not found
- Pricing
- Not found
Founder
Funding
Press & Links
Contacts & Socials
📈Ratings growth20,497 ratings+43% lifetimeShow 3-year history estimate ▾
📝 About this app
Buying and selling on todocoleccion allows you to start or finish your collection of antiques and collectibles thanks to our direct sales or auctions, deciding the price you want to pay for your second-hand books, coins, stamps, comics or art.
Using the todocoleccion app you will benefit from advantages such as:
🟪 Buy, sell and auction second-hand items easily, securely and quickly, from anywhere and at any time.… View full description on the official store →
Tech & Domain Intel — todocoleccion.net
- Tech stack
- Brevo (formerly Sendinblue) · Google Workspace · SendGrid · AWS SES
Track this app’s revenue
FREE📝 Description
95
Why high confidence: 20,497 ratings · no founder-verified revenue (model estimate only).




