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How much does privacyIDEA Authenticator earn?

Android app from NetKnights GmbH · Tools

ML forecast ★ 4.4 · 273 Free

~215/mo

ML revenue forecast. Calibrated against 77129 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.

privacyIDEA Authenticator screenshot 1 privacyIDEA Authenticator screenshot 2 privacyIDEA Authenticator screenshot 3 privacyIDEA Authenticator screenshot 4

privacyIDEA Authenticator's revenue trajectory

Forecast revenue from snapshot history. Last 1 months.

Where privacyIDEA Authenticator sits in Tools

Revenue distribution of 77129 comparable apps. privacyIDEA Authenticator highlighted.

privacyIDEA Authenticator vs comparable apps

Revenue trajectory side-by-side. Bold = privacyIDEA Authenticator, ghosted = peers.

App spec

Version
4.7.1
Last update
Apr 20, 2026
Launched
Jan 15, 2018
Price
Free
Monetization
Free

What privacyIDEA Authenticator actually does (from store listing)

privacyIDEA is a modular solution for two factor authentication especially with OTP tokens. It is multi-tenency- and multi-instance-capable. Due to the modular structure privacyIDEA can be quickly and easily adapted and enhanced. E.g. adding new token types is as simple as writing a new lean python module. You do not need to modify your network for privacyIDEA, it does not write to existing databases or user stores. It only needs read access to your user stores like LDAP, Active Directory, SQL, …
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Comparable Android apps

The five apps in Tools with the closest revenue to privacyIDEA Authenticator. Click any to see its detail page.

AppRevenueRatingRatings
Hihome Smart icon Hihome Smart 215 0
T-Mobile Doctor icon T-Mobile Doctor 215 ★ 3.1 137
One Tap Translator On Screen icon One Tap Translator On Screen 215 ★ 1.9 158
Pico icon Pico 215 ★ 4.2 140
Meme Editor X Easy Meme Maker icon Meme Editor X Easy Meme Maker 215 ★ 3.6 139
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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 privacyIDEA Authenticator's tracker page for current rating, reviews and snapshot timeline.

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