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moBILET icon

How much does moBILET earn?

Android app from Mobile Traffic DATA Sp. z o.o. · Finance

ML forecast ★ 1.6 · 13K 💰 Free

~728/mo

ML revenue forecast. Calibrated against 38941 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.

moBILET screenshot 1 moBILET screenshot 2 moBILET screenshot 3 moBILET screenshot 4

📈 moBILET's revenue trajectory

Forecast revenue from snapshot history. Last 1 months.

🏆 Where moBILET sits in Finance

Revenue distribution of 38941 comparable apps. moBILET highlighted.

📊 moBILET vs comparable apps

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

App spec

Version
Varies with device
Launched
May 06, 2026
Price
Free
Monetization
Free

What moBILET actually does (from store listing)

mobilet is an application that allows you to: - Buy electronic tickets for journeys with public transport (buses, trams, metro, light rail) - Pay for the actual parking time in the paid parking zones (fee charged after the stop!) Mobilet service is active in more than 100 locations throughout the country, including agglomerations in Krakow, Lodz, Tri-City and Upper Silesia, Warsaw, Poznan, Szczecin, Torun and Lublin. The current list of cities, coverage map and a detailed description of the…
Read full description →

Comparable Android apps

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

AppRevenueRatingRatings
Profuturo Móvil icon Profuturo Móvil 728 ★ 4.6 125K
Raiffeisen Mobile Corporate icon Raiffeisen Mobile Corporate 728 ★ 2.7 9K
모바일지로 icon 모바일지로 727 ★ 3.5 7K
Banco Falabella Colombia icon Banco Falabella Colombia 727 ★ 4.5 26K
Exchange rate. All currencies icon Exchange rate. All currencies 726 ★ 4.2 5K
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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 moBILET's tracker page for current rating, reviews and snapshot timeline.

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