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PP Savani CFE icon

How much does PP Savani CFE earn?

Android app from Education Iron Media · Education

ML forecast ★ 1.7 · 1K Free

~463/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.

PP Savani CFE screenshot 1 PP Savani CFE screenshot 2 PP Savani CFE screenshot 3 PP Savani CFE screenshot 4

PP Savani CFE's revenue trajectory

Forecast revenue from snapshot history. Last 1 months.

Where PP Savani CFE sits in Education

Revenue distribution of 120891 comparable apps. PP Savani CFE highlighted.

PP Savani CFE vs comparable apps

Revenue trajectory side-by-side. Bold = PP Savani CFE, ghosted = peers.

App spec

Version
Varies with device
Launched
Apr 06, 2020
Price
Free
Monetization
Free

What PP Savani CFE actually does (from store listing)

PP Savani CFE is an online platform for managing data associated with its tutoring classes in the most efficient and transparent manner. It is a user-friendly app with amazing features like online attendance, fees management, homework submission, detailed performance reports and much more- a perfect on- the- go solution for parents to know about their wards’ class details. It’s a great amalgamation of simple user interface design and exciting features; greatly loved by students, parents, and tut…
Read full description →

Comparable Android apps

The five apps in Education with the closest revenue to PP Savani CFE. Click any to see its detail page.

AppRevenueRatingRatings
GMAT™ Test Pro 2022 icon GMAT™ Test Pro 2022 463 ★ 4.4 858
USMLE Flashcards icon USMLE Flashcards 463 ★ 4.4 759
오늘의 고사성어 icon 오늘의 고사성어 463 ★ 4.1 972
CADDapp India icon CADDapp India 463 ★ 4.2 2K
Flashcard Maker icon Flashcard Maker 463 ★ 3.6 942
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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 PP Savani CFE's tracker page for current rating, reviews and snapshot timeline.

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