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How much does Florence earn?

Android app from Annapurna Interactive · Puzzle

ML forecast ★ 4.6 · 15K Paid

~17.5K/mo

ML revenue forecast. Calibrated against 29524 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.

Florence screenshot 1 Florence screenshot 2 Florence screenshot 3 Florence screenshot 4

Florence's revenue trajectory

Forecast revenue from snapshot history. Last 1 months.

Where Florence sits in Puzzle

Revenue distribution of 29524 comparable apps. Florence highlighted.

Florence vs comparable apps

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

App spec

Version
1.0.10
Last update
May 23, 2024
Launched
Mar 05, 2018
Price
$2.99
Monetization
Paid

What Florence actually does (from store listing)

At 25, Florence Yeoh feels a little stuck. Her life is an endless routine of work, sleep, and spending too much time on social media. Then one day, she meets a cello player named Krish who changes everything about how she sees the world. Experience every beat of Florence and Krish’s relationship through a series of bespoke gameplay vignettes – from flirting to fighting, from helping each other grow... to growing apart. Drawing inspiration from ‘slice of life’ graphic novels and webcomics, Fl…
Read full description →

Comparable Android apps

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

AppRevenueRatingRatings
Zenge - Beautiful Puzzle Game icon Zenge - Beautiful Puzzle Game 17.4K ★ 4.5 16K
Slayaway Camp: Horror Puzzle icon Slayaway Camp: Horror Puzzle 17.3K ★ 4.8 16K
Devil's Attorney icon Devil's Attorney 17.7K ★ 4.6 18K
Bridge Constructor Portal icon Bridge Constructor Portal 17.2K ★ 4.7 20K
Linelight icon Linelight 17.0K ★ 4.8 19K
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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 Florence's tracker page for current rating, reviews and snapshot timeline.

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