What is قاموس الصم لمصطلحات الإنتخابية's rating?

قاموس الصم لمصطلحات الإنتخابية is rated 3.9 stars across 7 ratings on the Play Store.

Who makes قاموس الصم لمصطلحات الإنتخابية?

قاموس الصم لمصطلحات الإنتخابية is published by theangell, launched on May 06, 2026.

Where does قاموس الصم لمصطلحات الإنتخابية rank in its category?

قاموس الصم لمصطلحات الإنتخابية ranks #111204 of 120891 apps in Education, putting it in the top 92.0% by revenue.

How much does قاموس الصم لمصطلحات الإنتخابية earn?

Q: How much does قاموس الصم لمصطلحات الإنتخابية earn?

قاموس الصم لمصطلحات الإنتخابية earns approximately 98 per month based on bumetric's ML revenue forecast, calibrated against 120891 comparable Android apps in Education.

Android app from theangell · Education

ML forecast ★ 3.9 · 7 Free

~98/mo

ML revenue forecast. Calibrated against 120891 apps in this category.

Confidence band

±15%

High — many comparable apps with verified data

At a glance

Earns 1.6× less than the category median (159/mo).
Ranks #111,204 of 120,891 in Education (top 92.0% by revenue).
Launched May 06, 2026.

Where قاموس الصم لمصطلحات الإنتخابية sits in Education

Revenue distribution of 120891 comparable apps. قاموس الصم لمصطلحات الإنتخابية highlighted.

قاموس الصم لمصطلحات الإنتخابية vs comparable apps

Revenue trajectory side-by-side. Bold = قاموس الصم لمصطلحات الإنتخابية, ghosted = peers.

App spec

Launched

May 06, 2026

Price

Free

Monetization

Free

Comparable Android apps

The five apps in Education with the closest revenue to قاموس الصم لمصطلحات الإنتخابية. Click any to see its detail page.

App	Revenue	Rating	Ratings
Ultramax Gestão Escolar (Demo)	98	—	0
Lewis Co. C-1 School District	98	★ 3.7	9
Common Mistakes in English	98	★ 4.3	387
Akademi Mobil	98	—	0
Cascia Hall Preparatory School	98	★ 3.7	7

Own قاموس الصم لمصطلحات الإنتخابية? Replace our estimate with your real revenue via Stripe Connect or ASC. Get a public Verified badge.

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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 قاموس الصم لمصطلحات الإنتخابية's tracker page for current rating, reviews and snapshot timeline.

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