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Rosary-Jebamalai(Tamil & Eng) icon

How much does Rosary-Jebamalai(Tamil & Eng) earn?

Android app from Our Lady Of Snows · Books & Reference

ML forecast ★ 4.6 · 2K Free

~458/mo

ML revenue forecast. Calibrated against 63594 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.

Rosary-Jebamalai(Tamil & Eng) screenshot 1 Rosary-Jebamalai(Tamil & Eng) screenshot 2 Rosary-Jebamalai(Tamil & Eng) screenshot 3 Rosary-Jebamalai(Tamil & Eng) screenshot 4

Rosary-Jebamalai(Tamil & Eng)'s revenue trajectory

Forecast revenue from snapshot history. Last 1 months.

Where Rosary-Jebamalai(Tamil & Eng) sits in Books & Reference

Revenue distribution of 63594 comparable apps. Rosary-Jebamalai(Tamil & Eng) highlighted.

Rosary-Jebamalai(Tamil & Eng) vs comparable apps

Revenue trajectory side-by-side. Bold = Rosary-Jebamalai(Tamil & Eng), ghosted = peers.

App spec

Version
2.1.0
Last update
Jul 26, 2025
Launched
Jul 04, 2019
Price
Free
Monetization
Free

What Rosary-Jebamalai(Tamil & Eng) actually does (from store listing)

"Rosary - Jebamalai (English and Tamil)" is used to pray daily rosary and know about how to pray rosary. Rosary Audio is very useful for pray rosary. Rosary Audio is available in both Tamil and English.

Comparable Android apps

The five apps in Books & Reference with the closest revenue to Rosary-Jebamalai(Tamil & Eng). Click any to see its detail page.

AppRevenueRatingRatings
Hanuman Chalisa - English icon Hanuman Chalisa - English 458 ★ 5.0 447
Bíblia do Brasil icon Bíblia do Brasil 458 ★ 4.9 515
Urdu Islamic Calendar 2022 icon Urdu Islamic Calendar 2022 458 0
CPC Civil Procedure Code Guide icon CPC Civil Procedure Code Guide 458 ★ 4.9 2K
Desain Rumah Impian icon Desain Rumah Impian 458 0
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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 Rosary-Jebamalai(Tamil & Eng)'s tracker page for current rating, reviews and snapshot timeline.

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