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How much does Wearfit Pro earn?

iOS app from 深圳市微克科技有限公司 · Health & Fitness

ML forecast ★ 3.1 · 2K +420.3% MoM Freemium

~480/mo

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

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

At a glance

Wearfit Pro's revenue trajectory

Forecast revenue from snapshot history. Last 24 months.

Where Wearfit Pro sits in Health & Fitness

Revenue distribution of 2403 comparable apps. Wearfit Pro highlighted.

Wearfit Pro vs comparable apps

Revenue trajectory side-by-side. Bold = Wearfit Pro, ghosted = peers.

App spec

Version
7.06.02
Last update
Jun 06, 2026
Launched
Jun 29, 2020
Min OS
13.4
Rating
12+
Price
Free
Monetization
Freemium
Languages
AR, CS, DA, NL +22

What Wearfit Pro actually does (from App Store listing)

By tightening the bracelet, we can help more people understand and manage their health, thereby making them healthier. At the same time, we will get closer to your footsteps and distance to provide you with better health guidance. You can view the detailed step record analysis at the end of the exercise, or refer to the exercise record on the homepage), We will capture and share your exercise data (steps, weight, etc.) in HealthKit to gain a more comprehensive understanding of your exercise stat…
Read full description →

🆕 What's new · v7.06.02

Hi, in this new update, we have optimized the user experience and fixed known issues~

Comparable iOS apps

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

AppRevenueRatingRatings
Natal - Pregnancy & Postpartum icon Natal - Pregnancy & Postpartum 478 ★ 4.8 966
NHS Food Scanner icon NHS Food Scanner 483 ★ 4.2 1K
SleepTracker: Record & Improve icon SleepTracker: Record & Improve 483 ★ 4.8 895
EF Digital icon EF Digital 477 ★ 5.0 2
WETID icon WETID 484 ★ 5.0 1
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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 Wearfit Pro's tracker page for current rating, reviews and snapshot timeline.

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