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How much does Bennet Test earn?

Android app from Aliaksandr Uvarau · Medical

ML forecast ★ 4.2 · 8K Free

~1.0K/mo

ML revenue forecast. Calibrated against 13784 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.

Bennet Test screenshot 1 Bennet Test screenshot 2 Bennet Test screenshot 3 Bennet Test screenshot 4

Bennet Test's revenue trajectory

Forecast revenue from snapshot history. Last 1 months.

Where Bennet Test sits in Medical

Revenue distribution of 13784 comparable apps. Bennet Test highlighted.

Bennet Test vs comparable apps

Revenue trajectory side-by-side. Bold = Bennet Test, ghosted = peers.

App spec

Version
4.3
Last update
Apr 17, 2026
Launched
Sep 16, 2013
Price
Free
Monetization
Free

What Bennet Test actually does (from store listing)

The Bennett mechanical comprehension test is a psychological aptitude test in engineering that is designed to measure one’s mechanical intelligence, ability to interpret technical drawings, understand diagrams of technical devices and their work, and solve engineering tasks. This test is destined to detect technical abilities of adolescents (12 and over) and adults. It includes 70 tasks that require technical problem solving. In each task test subjects should choose the correct answer out of …
Read full description →

Comparable Android apps

The five apps in Medical with the closest revenue to Bennet Test. Click any to see its detail page.

AppRevenueRatingRatings
MedShr: Discuss Clinical Cases icon MedShr: Discuss Clinical Cases 1.0K ★ 4.4 13K
Luscii icon Luscii 1.0K ★ 4.1 14K
Agilus Diagnostics- Blood Test icon Agilus Diagnostics- Blood Test 1.0K ★ 2.5 14K
BP Journal: Blood Pressure Log icon BP Journal: Blood Pressure Log 1.0K ★ 4.8 13K
Dr. Sulaiman Al Habib App icon Dr. Sulaiman Al Habib App 1.0K ★ 2.9 13K
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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 Bennet Test's tracker page for current rating, reviews and snapshot timeline.

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