Learn To Run - without ADS

62
Learn To Run - without ADS is an Android app from Riccardo Dal Foco in the Health & Fitness category, currently rated 4.5★ across 204 ratings. Initial signal reads as mostly critical sentiment so far: users flag rough edges and unmet expectations.
Quality Score is 62: Solid (established niche player). For a Health & Fitness 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
📊 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 |
| ⚙ Health & Fitness complexity ×1.40 | +$20K |
| 🌐 Cross-platform reach (iOS + Android) | +$38K |
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% |
| 🏷 Health & Fitness category multiple | +10% |
| ⭐ Small user base (<1K ratings) | -8% |
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.
| 📲 Health & Fitness engagement | ~70 installs / rating |
| 🔁 Health & Fitness D30 retention | 22% |
| 📍 DAU / MAU stickiness | 0.35 |
How we forecast this revenue
MEDIUM CONFIDENCEBU Investment Matrix
Early-stage solo · 45/100INDIE TIERexpected for tier- 💰 Revenue: Modest — $1K - $9K/mo · INDIE tier · medium confidence, trajectory unclear.
- ⭐ Quality: 4.54★ across 204 reviews — solid.
- 📍 Market: Not yet charting in any of the 9 monitored markets.
- 📈 Growth: Insufficient signal to assess trajectory.
- ⚠️ Risk: Low — no material risk signals detected.
💰 Forecast Revenue / mo
MODEL| Paid app ($1.99)METRIC | +$2,800 | |
| Excellent rating (4.5★)METRIC | +$2,200 | |
| Mature app (13y old)METRIC | +$1,500 | |
| Early-stage install base (204 ratings)METRIC | +$400 |
📈 Reviews Growth
LIVE⭐ Rating Trend
LIVEProfile & Insights
Identification
- App name
- Learn To Run - without ADS
- Developer
- Riccardo Dal Foco
- Bundle ID
- it.LearnToRunNoADS
- App Store URL
- Open in App Store
- Category
- Health & Fitness
- 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
- $230/mo
- Top-grossing rank
- Not found
- All-time revenue
- Not found
- Pricing
- Not found
Founder
Funding
Press & Links
Contacts & Socials
📈Ratings growth204 ratings+19% lifetimeShow 3-year history estimate ▾
📝 About this app
Our application was created to help you reach your fitness goals faster and easier, you will learn to run longer and shorter distances and step by step.
We will help you reach your fitness goals easily and quickly, the race will become a pleasant daily habit.
FEATURES:
• Three programs to choose from to progress at your own pace
• Acoustic warnings to not have to worry about anything
• Music player
• Completely free… View full description on the official store →
Track this app’s revenue
FREE📝 Description
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More by Riccardo Dal Foco
View all →Why medium confidence: 204 ratings · no founder-verified revenue (model estimate only).




