1.2M Assets Tracked Updated 7 min ago Revenue Forecasts
Create Account Sign In
Home Optimize
Vacuum cleaners - prank icon

How much does Vacuum cleaners - prank earn?

Android app from Nechapps · Entertainment

ML forecast ★ 4.6 · 124 Free

~143/mo

ML revenue forecast. Calibrated against 77127 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.

Vacuum cleaners - prank screenshot 1 Vacuum cleaners - prank screenshot 2 Vacuum cleaners - prank screenshot 3 Vacuum cleaners - prank screenshot 4

Vacuum cleaners - prank's revenue trajectory

Forecast revenue from snapshot history. Last 1 months.

Where Vacuum cleaners - prank sits in Entertainment

Revenue distribution of 77127 comparable apps. Vacuum cleaners - prank highlighted.

Vacuum cleaners - prank vs comparable apps

Revenue trajectory side-by-side. Bold = Vacuum cleaners - prank, ghosted = peers.

App spec

Version
Varies with device
Launched
Apr 07, 2021
Price
Free
Monetization
Free

What Vacuum cleaners - prank actually does (from store listing)

This app simulates vacuum cleaners. This app is a joke, sounds together with vibration create a realistic effect! Pretend you have a vacuum cleaner or play your friends as if you are cleaning an apartment or a car! Attention: the app is fun and harmless! The app does not have the functionality of real vacuum cleaners.

Comparable Android apps

The five apps in Entertainment with the closest revenue to Vacuum cleaners - prank. Click any to see its detail page.

AppRevenueRatingRatings
كتب نفسية بدون نت icon كتب نفسية بدون نت 143 0
Make a choice icon Make a choice 143 0
Imagix icon Imagix 143 0
Find By Image icon Find By Image 144 ★ 4.0 23
TK99 icon TK99 144 ★ 3.0 50
Own Vacuum cleaners - prank? Replace our estimate with your real revenue via Stripe Connect or ASC. Get a public Verified badge.
Claim & verify →

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 Vacuum cleaners - prank's tracker page for current rating, reviews and snapshot timeline.

Building something similar? Get a free AI audit with $-revenue forecasts for every recommendation.
Audit my app →