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How much does Doctor Please! earn?

iOS app from Teladoc Health International SA · Education

ML forecast ★ 4.6 · 102 -82.6% MoM Freemium

~425/mo

ML revenue forecast. Calibrated against 2884 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 App Store, captured by our snapshot worker. Tap any image to enlarge.

Doctor Please! screenshot 1 Doctor Please! screenshot 2 Doctor Please! screenshot 3

Doctor Please!'s revenue trajectory

Forecast revenue from snapshot history. Last 5 months.

Where Doctor Please! sits in Education

Revenue distribution of 2884 comparable apps. Doctor Please! highlighted.

Doctor Please! vs comparable apps

Revenue trajectory side-by-side. Bold = Doctor Please!, ghosted = peers.

App spec

Version
3.0.1
Last update
Apr 30, 2026
Launched
Nov 24, 2019
Min OS
12.0
Rating
4+
Price
Free
Monetization
Freemium
Languages
EN

What Doctor Please! actually does (from App Store listing)

Doctor Please! Powered by AXA provides you and your family with on demand access to a team of highly qualified registered doctors. To activate an account, eligible customers receive an access code from their insurance provider to benefit from remote access to doctors who are well-versed in worldwide medicine. The doctors will help better understand your symptoms and how to get the best care available to you - wherever you are in the world. Feel confident that you are getting the best medical car…
Read full description →

Comparable iOS apps

The five apps in Education with the closest revenue to Doctor Please!. Click any to see its detail page.

AppRevenueRatingRatings
MyAtriumHealth icon MyAtriumHealth 426 ★ 3.5 822
Doctolib Pro icon Doctolib Pro 426 ★ 4.4 611
Inova icon Inova 423 ★ 4.7 640
Health Insurance Portal icon Health Insurance Portal 428 ★ 4.8 1K
Glykämischer Index. Diabetes. icon Glykämischer Index. Diabetes. 421 ★ 4.5 3K
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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 Doctor Please!'s tracker page for current rating, reviews and snapshot timeline.

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