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How much does Crossovers earn?

Android app from Эдуард Паньков · Tools

ML forecast ★ 4.7 · 296 Free

~270/mo

ML revenue forecast. Calibrated against 77129 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.

Crossovers screenshot 1 Crossovers screenshot 2 Crossovers screenshot 3 Crossovers screenshot 4

Crossovers's revenue trajectory

Forecast revenue from snapshot history. Last 1 months.

Where Crossovers sits in Tools

Revenue distribution of 77129 comparable apps. Crossovers highlighted.

Crossovers vs comparable apps

Revenue trajectory side-by-side. Bold = Crossovers, ghosted = peers.

App spec

Version
1.2
Last update
Oct 30, 2022
Launched
Oct 16, 2019
Price
Free
Monetization
Free

What Crossovers actually does (from store listing)

Crossovers for speakers are passive LC-filters of sound frequencies. The application is designed to calculate such filters: low pass filter, high pass filter, bandpass filter, notch filter, as well as correctors of the amplitude-frequency characteristics of the speaker system. Calculation of filters from the first to the fourth orders is provided. Also in the program there is a calculation of auxiliary crossover circuits: circuit Zobele to compensate for the inductance of the coil dynamics and …
Read full description →

Comparable Android apps

The five apps in Tools with the closest revenue to Crossovers. Click any to see its detail page.

AppRevenueRatingRatings
ShrtFly - URL Shortener icon ShrtFly - URL Shortener 270 ★ 4.0 802
Qartuli Keyboard Font icon Qartuli Keyboard Font 270 ★ 5.0 4K
Radar Compass icon Radar Compass 270 ★ 3.8 347
Double Letter En-Ru Keyboard icon Double Letter En-Ru Keyboard 270 ★ 2.7 128
TList : to-do list & planner icon TList : to-do list & planner 270 0
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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 Crossovers's tracker page for current rating, reviews and snapshot timeline.

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