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How much does Bazoš earn?

iOS app from Radim Smicka · Shopping

ML forecast ★ 4.6 · 103 → Stable Freemium

~5.5K/mo

ML revenue forecast. Calibrated against 1985 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 App Store, captured by our snapshot worker. Tap any image to enlarge.

Bazoš screenshot 1 Bazoš screenshot 2 Bazoš screenshot 3 Bazoš screenshot 4

Bazoš's revenue trajectory

Forecast revenue from snapshot history. Last 9 months.

Where Bazoš sits in Shopping

Revenue distribution of 1985 comparable apps. Bazoš highlighted.

Bazoš vs comparable apps

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

App spec

Version
2.26.3
Last update
Aug 13, 2026
Launched
May 19, 2017
Min OS
15.0
Rating
4+
Price
Free
Monetization
Freemium
Languages
CS, EN, DE, PL +1

What Bazoš actually does (from App Store listing)

Bazoš has 500.000 advertisers daily, who place around 60.000 classified ads. Join them and sell what you don't need anymore or find what you are missing in household. • Sell easy and fast anything from household • No registration - place an advertisment after phone number confirmation • Add a search agent for a product you can't find • Have your classified ads under control Bazos - classifieds for everybody.

🆕 What's new · v2.26.3

• Bug fixes and improvements

Comparable iOS apps

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

AppRevenueRatingRatings
ASOS - Discover Fashion Online icon ASOS - Discover Fashion Online 5.5K ★ 4.9 516K
iKama - Kama Sutra Positions icon iKama - Kama Sutra Positions 5.6K ★ 4.0 564
Nike: Engineered for Athletes icon Nike: Engineered for Athletes 5.5K ★ 4.9 1.7M
Lowe's Home Improvement icon Lowe's Home Improvement 5.4K ★ 4.8 1.7M
Einfacher Einkaufszettel icon Einfacher Einkaufszettel 5.4K ★ 4.5 426
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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 Bazoš's tracker page for current rating, reviews and snapshot timeline.

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