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How much does Zeraki Analytics earn?

Android app from Litemore Ltd · Education

ML forecast ★ 4.0 · 15K Free

~466/mo

ML revenue forecast. Calibrated against 120891 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.

Zeraki Analytics screenshot 1 Zeraki Analytics screenshot 2 Zeraki Analytics screenshot 3 Zeraki Analytics screenshot 4

Zeraki Analytics's revenue trajectory

Forecast revenue from snapshot history. Last 1 months.

Where Zeraki Analytics sits in Education

Revenue distribution of 120891 comparable apps. Zeraki Analytics highlighted.

Zeraki Analytics vs comparable apps

Revenue trajectory side-by-side. Bold = Zeraki Analytics, ghosted = peers.

App spec

Version
4.1.78
Last update
May 18, 2026
Launched
Jan 11, 2017
Price
Free
Monetization
Free

What Zeraki Analytics actually does (from store listing)

Zeraki Analytics helps schools analyze academic performance, generate informative report forms and share analyses of academic performance with students and parents. Zeraki Analytics helps schools make sense of academic data faster and observe interesting patterns that wouldn’t be apparent from looking at tabular data. Because you spend a lot of time preparing students for exams, administering and grading exams, Zeraki Analytics gives you a new and easy way to analyze and visualize exam results. …
Read full description →

Comparable Android apps

The five apps in Education with the closest revenue to Zeraki Analytics. Click any to see its detail page.

AppRevenueRatingRatings
Studentink icon Studentink 466 0
CRACK-NEET-BIOLOGY icon CRACK-NEET-BIOLOGY 466 0
Simulado Habilitação - RS icon Simulado Habilitação - RS 466 ★ 4.8 4K
Campus Cover icon Campus Cover 466 0
Languages For Beginners Awabe icon Languages For Beginners Awabe 465 ★ 4.7 989
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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 Zeraki Analytics's tracker page for current rating, reviews and snapshot timeline.

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