Who makes יעל ענתי?

יעל ענתי is published by A.A.R Boostapp LTD, launched on Dec 25, 2019.

Where does יעל ענתי rank in its category?

יעל ענתי ranks #25977 of 31551 apps in Health & Fitness, putting it in the top 82.3% by revenue.

How much does יעל ענתי earn?

Q: How much does יעל ענתי earn?

יעל ענתי earns approximately 100 per month based on bumetric's ML revenue forecast, calibrated against 31551 comparable Android apps in Health & Fitness.

Android app from A.A.R Boostapp LTD · Health & Fitness

ML forecast Free

~100/mo

ML revenue forecast. Calibrated against 31551 apps in this category.

Confidence band

±15%

High — many comparable apps with verified data

At a glance

Earns 1.5× less than the category median (147/mo).
Ranks #25,977 of 31,551 in Health & Fitness (top 82.3% by revenue).
Launched Dec 25, 2019.

What the app looks like

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

יעל ענתי's revenue trajectory

Forecast revenue from snapshot history. Last 1 months.

Where יעל ענתי sits in Health & Fitness

Revenue distribution of 31551 comparable apps. יעל ענתי highlighted.

יעל ענתי vs comparable apps

Revenue trajectory side-by-side. Bold = יעל ענתי, ghosted = peers.

App spec

Version

Varies with device

Launched

Dec 25, 2019

Price

Free

Monetization

Free

What יעל ענתי actually does (from store listing)

The Yael Anati app gives the customer an easy and simple user experience with the ability to log in from anywhere and anytime, select the lessons / classes system and get all the relevant information directly from the cellphone, without the need for telephone answering and handling by the club staff.

Comparable Android apps

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

App	Revenue	Rating
LIFE sportsclub	100	—
Farmacia Leo Salvatore	100	—
Rafa Moreira	100	—
Academias Bem Viver	100	—
Aham Svastha	100	—

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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 יעל ענתי's tracker page for current rating, reviews and snapshot timeline.

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