What is أجمـل أقوال الإمام الشافعي's rating?

أجمـل أقوال الإمام الشافعي is rated 4.5 stars across 341 ratings on the Play Store.

Who makes أجمـل أقوال الإمام الشافعي?

أجمـل أقوال الإمام الشافعي is published by Gnader Kaftan King, launched on May 06, 2026.

Where does أجمـل أقوال الإمام الشافعي rank in its category?

أجمـل أقوال الإمام الشافعي ranks #10688 of 63594 apps in Books & Reference, putting it in the top 16.8% by revenue.

How much does أجمـل أقوال الإمام الشافعي earn?

Q: How much does أجمـل أقوال الإمام الشافعي earn?

أجمـل أقوال الإمام الشافعي earns approximately 413 per month based on bumetric's ML revenue forecast, calibrated against 63594 comparable Android apps in Books & Reference.

Android app from Gnader Kaftan King · Books & Reference

ML forecast ★ 4.5 · 341 Free

~413/mo

ML revenue forecast. Calibrated against 63594 apps in this category.

Confidence band

±15%

High — many comparable apps with verified data

At a glance

Earns 2.0× more than the category median (206/mo).
Ranks #10,688 of 63,594 in Books & Reference (top 16.8% by revenue).
Launched May 06, 2026.

Where أجمـل أقوال الإمام الشافعي sits in Books & Reference

Revenue distribution of 63594 comparable apps. أجمـل أقوال الإمام الشافعي highlighted.

أجمـل أقوال الإمام الشافعي vs comparable apps

Revenue trajectory side-by-side. Bold = أجمـل أقوال الإمام الشافعي, ghosted = peers.

App spec

Launched

May 06, 2026

Price

Free

Monetization

Free

Comparable Android apps

The five apps in Books & Reference with the closest revenue to أجمـل أقوال الإمام الشافعي. Click any to see its detail page.

App	Revenue	Rating	Ratings
Bhagavad Gita in Hindi	413	—	0
English Hebrew Dictionary	413	★ 3.5	389
IMO 2026 : Class 10th to 6th	413	★ 4.0	14K
Библиотека Alpina Digital	414	—	0
إعراب مفصل لكتاب الله المرتل	414	★ 4.1	685

Own أجمـل أقوال الإمام الشافعي? 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 أجمـل أقوال الإمام الشافعي'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 →