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How much does WearHealth earn?

Android app from he ming · Tools

ML forecast ★ 2.5 · 18K Free

~1.1K/mo

ML revenue forecast. Calibrated against 77129 apps in this category.

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

At a glance

What the app looks like

Live screenshots from the Play Store, captured by our snapshot worker. Tap any image to enlarge.

WearHealth screenshot 1 WearHealth screenshot 2 WearHealth screenshot 3 WearHealth screenshot 4

WearHealth's revenue trajectory

Forecast revenue from snapshot history. Last 1 months.

Where WearHealth sits in Tools

Revenue distribution of 77129 comparable apps. WearHealth highlighted.

WearHealth vs comparable apps

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

App spec

Version
1.0.88
Last update
Sep 02, 2025
Launched
Aug 08, 2017
Price
Free
Monetization
Free

What WearHealth actually does (from store listing)

WearHealth is a smart wearable program that can detect your steps, distance, calories, heart rate and other health data through your watch so that you can better analyze your health status. Here are some features of the WearHealth smart wear app: Privacy: We only ask for strictly necessary permissions. For example: While allowing access to contacts enhances functionality, the app can still run even if you deny contact permissions. Contacts: To display your contact list conveniently, you…
Read full description →

Comparable Android apps

The five apps in Tools with the closest revenue to WearHealth. Click any to see its detail page.

AppRevenueRatingRatings
LED Strobe icon LED Strobe 1.1K ★ 3.8 11K
Satellite Finder: Dish Network icon Satellite Finder: Dish Network 1.1K ★ 4.5 24K
m365 Dashboard 1S/Pro-1/2/3 icon m365 Dashboard 1S/Pro-1/2/3 1.1K ★ 4.2 13K
Direct Transfer Contacts/Files icon Direct Transfer Contacts/Files 1.1K ★ 4.0 16K
Camera Background Video Record icon Camera Background Video Record 1.1K ★ 4.2 10K
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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 WearHealth's tracker page for current rating, reviews and snapshot timeline.

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