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How much does VeryFit earn?

iOS app from Shenzhen DO Intelligent Technology Co., Ltd. · Health & Fitness

ML forecast ★ 4.6 · 31K +6238.4% MoM Freemium

~1.4K/mo

ML revenue forecast. Calibrated against 2403 apps in this category.

Confidence band
±15%
High — many comparable apps with verified data

At a glance

VeryFit's revenue trajectory

Forecast revenue from snapshot history. Last 16 months.

Where VeryFit sits in Health & Fitness

Revenue distribution of 2403 comparable apps. VeryFit highlighted.

VeryFit vs comparable apps

Revenue trajectory side-by-side. Bold = VeryFit, ghosted = peers.

App spec

Version
3.4.0
Last update
May 29, 2026
Launched
Sep 08, 2020
Min OS
13.0
Rating
4+
Price
Free
Monetization
Freemium
Languages
EN

What VeryFit actually does (from App Store listing)

VeryFit is a professional and easy-to-use sports health app that manages your health with smart wearable devices 1. Simple interface design, efficient user experience 2. Record health and sports data, track changes in your health status 3. Provide health analysis and solutions to help you improve your health Record health data Record steps, calories, heart rate, stress, sleep, skin temperature, ambient volume, menstrual tracking..., pay attention to health changes Record sports data Support…
Read full description →

🆕 What's new · v3.4.0

1.Upgrade promotions and event features for a more exciting experience 2.Optimize app performance for smoother and more stable operation 3. Fix known issues for better experience

Comparable iOS apps

The five apps in Health & Fitness with the closest revenue to VeryFit. Click any to see its detail page.

AppRevenueRatingRatings
LightMyWatts icon LightMyWatts 1.4K ★ 5.0 7
Wysa: Mental Wellbeing AI icon Wysa: Mental Wellbeing AI 1.4K ★ 4.8 24K
EyeMed icon EyeMed 1.4K ★ 4.8 26K
Stadelmann Aromapflege icon Stadelmann Aromapflege 1.4K 0
ZOE: Personalized Nutrition icon ZOE: Personalized Nutrition 1.4K ★ 4.8 6K
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How we calculated this

Each forecast combines App Store rating, ratings count, monetisation model, pricing tier, IAP signals and ad-supported flag. The base estimate is then multiplied by a per-category scaling factor learned from apps with founder-verified MRR. Every number on this page comes from public APIs and bumetric's own snapshot history.

Full methodology covers input variables, accuracy bands per category and how we treat apps without comparable anchors. See also the live data on VeryFit's tracker page for current rating, reviews and snapshot timeline.

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