Who makes СуперСклад-М?

СуперСклад-М is published by Roman Kamalov, launched on Jan 09, 2012.

Where does СуперСклад-М rank in its category?

СуперСклад-М ranks #20401 of 48160 apps in Business, putting it in the top 42.4% by revenue.

How much does СуперСклад-М earn?

Q: How much does СуперСклад-М earn?

СуперСклад-М earns approximately 142 per month based on bumetric's ML revenue forecast, calibrated against 48160 comparable Android apps in Business.

Android app from Roman Kamalov · Business

ML forecast Free

~142/mo

ML revenue forecast. Calibrated against 48160 apps in this category.

Confidence band

±15%

High — many comparable apps with verified data

At a glance

Tracks close to the Android app category median (130/mo).
Ranks #20,401 of 48,160 in Business (top 42.4% by revenue).
Launched Jan 09, 2012.

What the app looks like

Live screenshots from the Play Store, captured by our snapshot worker. Tap any image to enlarge.

СуперСклад-М's revenue trajectory

Forecast revenue from snapshot history. Last 1 months.

Where СуперСклад-М sits in Business

Revenue distribution of 48160 comparable apps. СуперСклад-М highlighted.

СуперСклад-М vs comparable apps

Revenue trajectory side-by-side. Bold = СуперСклад-М, ghosted = peers.

App spec

Version

Varies with device

Launched

Jan 09, 2012

Price

Free

Monetization

Free

What СуперСклад-М actually does (from store listing)

Program for automating sales representatives (mobile order collection system). This is a demo version of the program. To get a test dataset, select "Get data from server". If you are interested in the program, then contact me rc@icmail.ru. Attention ! To keep your manager informed of your location at all times, this app collects location data even when the app is closed or not in use.

Comparable Android apps

The five apps in Business with the closest revenue to СуперСклад-М. Click any to see its detail page.

App	Revenue	Rating	Ratings
OTG-MMS	142	—	0
myEtimecard	142	★ 3.1	63
Simplify Practice	142	—	0
Textile Business Directory	142	—	0
Inspection Report	142	★ 3.4	32

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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 СуперСклад-М's tracker page for current rating, reviews and snapshot timeline.

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