What is TANYAKAN DOKTER's rating?

TANYAKAN DOKTER is rated 3.1 stars across 1,530,000 ratings on the YouTube.

Who makes TANYAKAN DOKTER?

TANYAKAN DOKTER is published by @tanyakandokter, launched on May 06, 2026.

Where does TANYAKAN DOKTER rank in its category?

TANYAKAN DOKTER ranks #27660 of 685093 apps in YouTube Channels, putting it in the top 4.0% by revenue.

How much does TANYAKAN DOKTER earn?

Q: How much does TANYAKAN DOKTER earn?

TANYAKAN DOKTER earns approximately 447 per month based on founder-verified MRR, calibrated against 685093 comparable YouTube channels in YouTube Channels.

YouTube channel from @tanyakandokter · YouTube Channels

✓ Verified MRR ★ 3.1 · 1.5M Free

~447/mo

Founder-verified via Stripe Connect or App Store Connect.

Confidence band

±15%

High — many comparable apps with verified data

At a glance

Earns 403.32× more than the category median (1/mo).
Ranks #27,660 of 685,093 in YouTube Channels (top 4.0% by revenue).
Launched May 06, 2026.

TANYAKAN DOKTER's revenue trajectory

Forecast revenue from snapshot history. Last 1 months.

Where TANYAKAN DOKTER sits in YouTube Channels

Revenue distribution of 685093 comparable apps. TANYAKAN DOKTER highlighted.

TANYAKAN DOKTER vs comparable apps

Revenue trajectory side-by-side. Bold = TANYAKAN DOKTER, ghosted = peers.

App spec

Launched

May 06, 2026

Price

Free

Monetization

Free

What TANYAKAN DOKTER actually does (from store listing)

halo. perkenalkan saya dr.Jeffry. Semoga setiap informasi yang diberikan bermanfaat untuk banyak orang. bussines and endorsment contact jeffrykristiawan92@yahoo.com

Comparable YouTube channels

The five apps in YouTube Channels with the closest revenue to TANYAKAN DOKTER. Click any to see its detail page.

App	Revenue	Rating	Ratings
Mateus Asato	447 ✓	★ 3.0	821K
60 Minutes Australia	447 ✓	★ 3.4	6.6M
Fright Knight	447 ✓	★ 2.7	206K
Quiet Cam	447 ✓	★ 2.2	30K
Trash Theory	447 ✓	★ 2.9	564K

Own TANYAKAN DOKTER? Replace our estimate with your real revenue via Stripe Connect or ASC. Get a public Verified badge.

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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 TANYAKAN DOKTER's tracker page for current rating, reviews and snapshot timeline.

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