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Jain Jinvaani icon

How much does Jain Jinvaani earn?

Android app from Bhaktamar Studio - Tarun Jain, Paras Jain · Books & Reference

ML forecast ★ 4.8 · 6K Free

~696/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.

Jain Jinvaani screenshot 1 Jain Jinvaani screenshot 2 Jain Jinvaani screenshot 3 Jain Jinvaani screenshot 4

Jain Jinvaani's revenue trajectory

Forecast revenue from snapshot history. Last 1 months.

Where Jain Jinvaani sits in Books & Reference

Revenue distribution of 63594 comparable apps. Jain Jinvaani highlighted.

Jain Jinvaani vs comparable apps

Revenue trajectory side-by-side. Bold = Jain Jinvaani, ghosted = peers.

App spec

Version
4.4
Last update
Jul 03, 2024
Launched
Oct 23, 2016
Price
Free
Monetization
Free

What Jain Jinvaani actually does (from store listing)

जय जिनेंद्र, यह एप्लिकेशन जिनवाणी की अधिकांश सामग्रियों को ऑफ़लाइन उपलब्ध कराने का एक प्रयास है, ताकि लोग स्वतंत्र रूप से जिनवाणी से प्रेरित होकर पढ़ सकें और सीख सकें। प्रमुख विशेषताऐं:- 1. आरती 2. भक्ति 3. जिनेन्द्र स्तुति संग्रह 4. चालीसा 5. पूजा 6. स्तुति 7. स्त्रोत्र 8. तीर्थंकर 9. समस्त पूजा अर्घ्यावली 10. दैनिकपाठ 11. प्रार्थना 12. दशलक्षण धर्म‎ 13. णमोकार महामंत्र 14. जाप्य मंत्र 15. स्वाध्याय 16. सम्मेद शिखर कूट पूजन 17. बालबोध पाठमाला 18. भजन

Comparable Android apps

The five apps in Books & Reference with the closest revenue to Jain Jinvaani. Click any to see its detail page.

AppRevenueRatingRatings
Class 8 NCERT Science Solution icon Class 8 NCERT Science Solution 696 0
Women's Bible App icon Women's Bible App 696 ★ 4.7 2K
Munshi Premchand ki Kahaniyan icon Munshi Premchand ki Kahaniyan 697 0
Tamil Ebooks icon Tamil Ebooks 696 ★ 4.4 2K
Bible Audio en Français mp3 icon Bible Audio en Français mp3 697 ★ 4.8 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 Jain Jinvaani's tracker page for current rating, reviews and snapshot timeline.

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