📱 Global App Rank Opportunity Intelligence

🔁 What pattern recognition gives you

375 opportunities is too many to read one by one. This tab compresses them into the recurring shapes behind them — so your team picks one shape and ships one app to many markets.

A. Country archetypes — data-driven groups of markets that behave alike

174 countries clustered into 10 groups by their actual app-mix (KMeans on the country × app weighted-presence matrix). Each archetype gets a name from its dominant geography + income tier, member countries, and the apps that are most over-represented in this cluster vs. the rest of the world.

#1

Caribbean + Pacific Islands · High-income

31 countries

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Most characteristic apps

4 Pics 1 Word

in 77% of cluster

Bible Chat

in 74% of cluster

MoboReader

in 77% of cluster

Grand Theft Auto III

in 77% of cluster

Ludo Club・Fun Dice Board Game

in 64% of cluster

Das Spiel des Lebens

in 54% of cluster

#2

West Africa + East Africa + Southern Africa · Lower-middle

31 countries

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Most characteristic apps

Ludo STAR

in 90% of cluster

Scrabble® GO

in 64% of cluster

eFootball™

in 93% of cluster

Ludo King

in 80% of cluster

WhatsApp Business

in 80% of cluster

Dream League Soccer 2026

in 74% of cluster

#3

Nordics + Western Europe + Germanic Europe · High-income

25 countries

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Most characteristic apps

PictureThis

in 80% of cluster

Total Battle

in 96% of cluster

Grindr citas y chats para gays

in 100% of cluster

GeoGuessr

in 100% of cluster

B

in 100% of cluster

Pokémon GO

in 88% of cluster

#4

Balkans + Central Europe + Baltics · High-income

20 countries

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Most characteristic apps

Blitzer.de PRO

in 90% of cluster

GeoGuessr

in 100% of cluster

Хроники Хаоса

in 90% of cluster

Inspect Browser

in 80% of cluster

Instants

in 75% of cluster

Astra AI

in 65% of cluster

#5

Gulf + South Asia + Maghreb · High-income

18 countries

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Most characteristic apps

Yalla Ludo

in 83% of cluster

TOD

in 77% of cluster

MBC Shahid

in 77% of cluster

Salatuk

in 72% of cluster

Tarteel

in 72% of cluster

Qibla Boussole 100

in 61% of cluster

#6

Central America + LatAm Andean + LatAm South · Upper-middle

17 countries

MXGTPACRDONISVHNCOPEECCLARPYBOVEUY

Most characteristic apps

Treinta

in 94% of cluster

BueNovela

in 94% of cluster

Impostore

in 100% of cluster

FIFA Panini Collection

in 100% of cluster

Figuritas

in 88% of cluster

Trivia Crack

in 88% of cluster

#7

Central Asia + Eastern Europe + Caucasus · Upper-middle

14 countries

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Most characteristic apps

Standoff 2

in 100% of cluster

Poker Game

in 78% of cluster

MyBook

in 78% of cluster

Durak Online card game

in 78% of cluster

Litres

in 78% of cluster

Полный Грамотей

in 71% of cluster

#8

Southeast Asia · Lower-middle

10 countries

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Most characteristic apps

TikTok ティックトック

in 80% of cluster

ハートピアスローライフ

in 90% of cluster

Bloomberg

in 90% of cluster

Racing Master

in 70% of cluster

메이투 Meitu

in 70% of cluster

Cooking Mama

in 70% of cluster

#9

Greater China + East Asia · High-income

6 countries

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Most characteristic apps

베리필름 Berryfilm

in 83% of cluster

메이투 Meitu

in 83% of cluster

Kingdom Rush 5

in 83% of cluster

ハートピアスローライフ

in 83% of cluster

Dungeon Within

in 66% of cluster

红果短剧

in 66% of cluster

#10

Caribbean + Central Africa · High-income

2 countries

MSST

Most characteristic apps

MyScreen

in 100% of cluster

BBC

in 100% of cluster

Magic Piano

in 100% of cluster

Hello Neighbor

in 100% of cluster

Castle Clash

in 100% of cluster

Голосовой переводчик оффлайн.

in 100% of cluster

B. Recurring opportunity themes — build one app, ship to N markets

Every opportunity gets grouped by (strategy, category, target archetype). Groups with ≥ 3 members are recurring shapes. Read this as: "your team can build one app of this kind and ship it across the N markets listed."

C. Category × archetype heat — where the opportunities concentrate

How many opportunities of each category show up in each archetype's pipeline. Dark cells = systematic gaps your team can exploit if you specialise.