26
BU Score
Niche
Recognise Shoulder
✍️ bumetric analysis
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Recognise Shoulder is an iOS app from noigroup in the Education category, currently rated 2.2★ across 4 ratings. Initial signal reads as mixed reviews: supporters praise core features while critics cite stability and value gaps.
Our BU Score puts it at 26: Niche (micro-niche or pre-traction stage). For a Education app, that means micro-niche or pre-traction stage.
Track changes month-over-month in the Performance section below: live snapshot history and revenue forecast included.
📊 Performance Tracking LIVE
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Rating
—
Reviews
—
Forecast Revenue / mo
—
Snapshots tracked
0
since first record
Range:
💰 Forecast Revenue / mo
MODELRevenue forecast computed from BU's 234 trigger model on each snapshot. Calibrated against ground-truth from 58 verified-revenue apps.
🔬Forecast Breakdown — Why This Estimate?Top 5 of 5 triggers
Our ML model uses 200+ signals from public data. These are the most influential for this app:
| Paid app ($0.00)METRIC | +$2,800 | |
| Below-average rating (2.2★)METRIC | −$1,500 | |
| Mature app (10y old)METRIC | +$1,500 | |
| Single-language (English only)METRIC | −$400 | |
| Pre-traction phase (4 ratings)METRIC | −$300 |
METRIC = structural app data · REVIEW = mined from user reviews · ✓ VERIFIED = Stripe-verified anchor (TrustMRR)
📈 Reviews Growth
LIVECumulative review count from first BU snapshot. Each point = a tracked update.
⭐ Rating Trend
LIVEAverage rating evolution. Updates with each new review batch.
🗓️ Snapshot Timeline
HISTORYEach bar shows a tracked update and the metric delta from the previous snapshot.
App Specs
🔐 Own this app? Claim & verify MRR →💾 55 MB🔞 4+📱 iOS 13.0+🔖 v1.10🔄 updated 1mo ago🌐 EN📂 Education💰 Paid🚀 Launched 2016 (10y old)
📝 About this app
Using Recognise™ has been shown to reduce pain, improve performance and assist with rehabilitation in a range of complex pain, and injury states, when used as part of a Graded Motor Imagery programme.
TEST AND TRAIN
- TEST your ability to quickly and accurately recognise an image of a body area as either left or right (‘Left/Right Discrimination’)
- TRAIN your brain and harness its neuroplasticity using a range of tools
FEATURES
-‘Memory’ and ‘Speed match’ tools to take your training to the next level
-Graded difficulty levels and personal best challenges
-Detailed onscreen results and graphs to map your progress
-Powerful clinical integration tools - export and email your results directly to your clinician or therapist
-Capture your own images on your iPhone or iPad and use them in your training
-Comprehensive explanation of the science behind Left/Right Discrimination and Graded Motor Imagery
WHAT’S NEW IN 2016
This is not an update - Recognise™ is a brand new App, built from the ground up with powerful new features and tools.
FEET, BACKS, NECKS, HANDS, KNEES?
This App is for Shoulders, for Recognise™ Feet, Recognise™ Back, Recognise™ Neck, Recognise™ Hands and Recognise™ Knee, check the App store
FIND OUT MORE
Visit www.gradedmotorimagery.com for more information including videos and free downloads.
TEST AND TRAIN
- TEST your ability to quickly and accurately recognise an image of a body area as either left or right (‘Left/Right Discrimination’)
- TRAIN your brain and harness its neuroplasticity using a range of tools
FEATURES
-‘Memory’ and ‘Speed match’ tools to take your training to the next level
-Graded difficulty levels and personal best challenges
-Detailed onscreen results and graphs to map your progress
-Powerful clinical integration tools - export and email your results directly to your clinician or therapist
-Capture your own images on your iPhone or iPad and use them in your training
-Comprehensive explanation of the science behind Left/Right Discrimination and Graded Motor Imagery
WHAT’S NEW IN 2016
This is not an update - Recognise™ is a brand new App, built from the ground up with powerful new features and tools.
FEET, BACKS, NECKS, HANDS, KNEES?
This App is for Shoulders, for Recognise™ Feet, Recognise™ Back, Recognise™ Neck, Recognise™ Hands and Recognise™ Knee, check the App store
FIND OUT MORE
Visit www.gradedmotorimagery.com for more information including videos and free downloads.
🆕 What's New · v1.10
Minor bug fix
Profile & Insights
Everything we know — and don't — about this app and its company.
Identification
- App name
- Recognise Shoulder
- Developer
- noigroup
- Bundle ID
- com.noigroup.recognise-shoulderV2
- App Store URL
- Open in App Store
- Category
- Education
- Content rating
- 4+
- Languages
- EN
Company
- Website
- www.gradedmotorimagery.com
- Tagline
- KeluarQQ
- Description
- Temukan Pkv Qq, situs poker online terbaru dengan keamanan tinggi dan pengalaman bermain yang adil. Bergabung sekarang untuk sensasi poker sesungguhnya!
- 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
- $201/mo
- Top-grossing rank
- Outside top 99 in US Education
- All-time revenue
- Not found
- Pricing
- Not found
Founder
- Name
- Not found
- X / Twitter
- Not found
- Not found
- GitHub
- Not found
- X followers
- Not found
- Public statements
- Not found
Funding
- Total raised
- Not found
- Last round
- Not found
- Investors
- Not found
- Crunchbase
- Not found
- AngelList
- Not found
Press & Links
- Articles found
- Not found
- Listed on
- Not found
- Blog
- Not found
- Press / News
- Not found
Contacts & Socials
- Socials
- Not found
- Not found
- Phone
- Not found
- Contact page
- http://www.gradedmotorimagery.com/pages/contact
- About page
- Not found
📈Ratings growth4 ratings+300% lifetimeShow 3-year history estimate ▾
Tracked (4 weeks) Pre-tracking estimate (37 weeks) · model-based, ±5% noise · anchored to release date and current value
🌍Geographic ReachNot ranked
This app is currently outside the top 100 grossing in all 9 countries we monitor (US, UK, DE, FR, JP, CA, AU, BR, IN). Niche or new apps often launch this way — popularity rankings appear once daily revenue clears the regional threshold.
Profile is built from iTunes Lookup + developer site scrape + ML revenue model. Empty fields show "Not found" — additional sources (Crunchbase, X, IndieHackers, Acquire.com) coming.
Full revenue analysis
Read the article-style breakdown for Recognise Shoulder: category rank, percentile, growth signal, comparable apps, and how the forecast is calibrated against verified-MRR anchors in this niche.