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How much does Personal analysis earn?

Android app from Sajjad Apps. · Lifestyle

ML forecast ★ 4.9 · 392 Free

~182/mo

ML revenue forecast. Calibrated against 51929 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.

Personal analysis screenshot 1 Personal analysis screenshot 2 Personal analysis screenshot 3 Personal analysis screenshot 4

Personal analysis's revenue trajectory

Forecast revenue from snapshot history. Last 1 months.

Where Personal analysis sits in Lifestyle

Revenue distribution of 51929 comparable apps. Personal analysis highlighted.

Personal analysis vs comparable apps

Revenue trajectory side-by-side. Bold = Personal analysis, ghosted = peers.

App spec

Version
4.8
Last update
Aug 06, 2025
Launched
Jul 31, 2019
Price
Free
Monetization
Free

What Personal analysis actually does (from store listing)

Personal analysis An application that is based on what Dr. Phil gave from tests to analyze the personality of the individual and consists of only 10 questions, and each answer to each question has specific points through which you will know your personality Application overview The famous American psychiatrist "Dr. Phil McGraw" put forward an interesting psychological test to analyze the personality through which you can know the evaluation of those around you for your behavior, and thi…
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Comparable Android apps

The five apps in Lifestyle with the closest revenue to Personal analysis. Click any to see its detail page.

AppRevenueRatingRatings
Лунный календарь 2026 icon Лунный календарь 2026 182 0
SMS Power Control icon SMS Power Control 182 0
Eagle Eye CameraManager icon Eagle Eye CameraManager 182 ★ 3.5 112
Smart Life Philco icon Smart Life Philco 182 0
Modes & Travaux icon Modes & Travaux 182 0
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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 Personal analysis's tracker page for current rating, reviews and snapshot timeline.

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