1.2M Assets Tracked Updated 4 min ago Revenue Forecasts
Add an app Create Account Sign In
Home
Paruyr Sevak icon

How much does Paruyr Sevak earn?

Android app from Davit Avetisyan · Books & Reference

ML forecast ★ 5.0 · 1K Free

~663/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.

Paruyr Sevak screenshot 1 Paruyr Sevak screenshot 2 Paruyr Sevak screenshot 3 Paruyr Sevak screenshot 4

Paruyr Sevak's revenue trajectory

Forecast revenue from snapshot history. Last 1 months.

Where Paruyr Sevak sits in Books & Reference

Revenue distribution of 63594 comparable apps. Paruyr Sevak highlighted.

Paruyr Sevak vs comparable apps

Revenue trajectory side-by-side. Bold = Paruyr Sevak, ghosted = peers.

App spec

Version
Varies with device
Launched
Jun 14, 2014
Price
Free
Monetization
Free

What Paruyr Sevak actually does (from store listing)

Paruyr Sevak (January 24, 1924 – June 17, 1971) was an Armenian poet and literary critic. He is considered one of the greatest Armenian poets of the 20th century. In this application you can read Paruyr Sevak's best poems.

Comparable Android apps

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

AppRevenueRatingRatings
Pari Zaad by Hashim Nadeem - U icon Pari Zaad by Hashim Nadeem - U 663 ★ 3.9 3K
English Poets and Poems icon English Poets and Poems 664 ★ 4.7 2K
FBK eBooks for Kindle icon FBK eBooks for Kindle 664 ★ 3.5 2K
Bible Maps icon Bible Maps 664 ★ 4.5 2K
All Selina Solutions PCMB icon All Selina Solutions PCMB 664 ★ 4.7 3K
Own Paruyr Sevak? Replace our estimate with your real revenue via Stripe Connect or ASC. Get a public Verified badge.
Claim & verify →

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 Paruyr Sevak's tracker page for current rating, reviews and snapshot timeline.

Building something similar? Get a free AI audit with $-revenue forecasts for every recommendation.
Audit my app →