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How much does Should I Answer? earn?

Android app from Mister Group s.r.o. · Communication

ML forecast ★ 4.0 · 95K Free

~2.1K/mo

ML revenue forecast. Calibrated against 22864 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.

Should I Answer? screenshot 1 Should I Answer? screenshot 2 Should I Answer? screenshot 3 Should I Answer? screenshot 4

Should I Answer?'s revenue trajectory

Forecast revenue from snapshot history. Last 1 months.

Where Should I Answer? sits in Communication

Revenue distribution of 22864 comparable apps. Should I Answer? highlighted.

Should I Answer? vs comparable apps

Revenue trajectory side-by-side. Bold = Should I Answer?, ghosted = peers.

App spec

Version
1.8.273
Last update
Jan 16, 2025
Launched
May 06, 2026
Price
Free
Monetization
Free

What Should I Answer? actually does (from store listing)

Get rid of the unsolicited calls once forever. Safely and absolutely free. Telemarketers, phone scams or „just“ unsolicited surveys? The Should I Answer app can get you rid of all such calls. <h1><b>How does the app work?</b></h1> Whenever some unknown number calls the app checks it in its permanently updated database - immediately, without internet connection. If it finds out that other users reported the respective number as nuisance, it warns you against it. Or if you want it so, it c…
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Comparable Android apps

The five apps in Communication with the closest revenue to Should I Answer?. Click any to see its detail page.

AppRevenueRatingRatings
911 Help SMS PRO icon 911 Help SMS PRO 2.1K ★ 3.7 26
Browser for Android icon Browser for Android 2.1K ★ 4.5 81K
WASticker Animated Cartoons icon WASticker Animated Cartoons 2.1K ★ 4.7 77K
Ring Phone Calls - JusCall icon Ring Phone Calls - JusCall 2.1K ★ 4.3 88K
Vani Dialer - Answer Calls By  icon Vani Dialer - Answer Calls By 2.1K ★ 4.1 90K
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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 Should I Answer?'s tracker page for current rating, reviews and snapshot timeline.

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