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![์จ๋ฐ๊ผญ์ง [Story of Dorothy]](https://play-lh.googleusercontent.com/nCF16eMM2rpjY2spZdzD8Aq2QxZA8OKbWnZlDQehuUdGYLtTiSJEbDSQ_dTOwshOj0DQqCBPSis9kKcrhk-Dyyw)
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[๋ณธ๊ฒฉ ํธ๋ฌ ์ฏ๊พธ๋ฅด]](https://play-lh.googleusercontent.com/0-QAkjrwrSBy_YDCgCKkbzw4b7z3z5S-__ZyvCuN6cb4t1_G2_Q9d8vkDaU8kjinTqjYto9fuIqjL_bU9n7-I5o)
Free Mobile Game Analytics & Revenue Estimates
Welcome to RankFloor, the premier independent database tracking the performance of mobile games worldwide. We monitor top grossing, free, and paid game rankings daily across the Apple App Store and Google Play Store, serving regions including South Korea, the United States, Japan, China, the United Kingdom, Taiwan, Canada, and Australia. Whether you are a game developer, mobile marketer, investor, or casual industry enthusiast, our analytics platform delivers crucial intelligence to benchmark market trends and analyze user acquisition movements.
Our platform utilizes statistical power-law distribution models to provide daily and monthly revenue estimations based on historical ranking positions. Compare performance charts side-by-side, analyze movers and shakers, and export data directly to Excel or PDF for industry-level reporting. Our database updates hourly to capture sudden updates, ranking fluctuations, and new entries in real-time, providing a transparent window into the highly competitive global mobile app ecosystem.
Frequently Asked Questions (FAQ) & Methodology Guide
Q1. How does RankFloor estimate daily and monthly mobile game revenues?
RankFloor estimates mobile game store revenues using a mathematical power-law distribution model, also known as the Pareto principle (or 80/20 rule). In mobile markets, a very small percentage of top-ranking apps capture the vast majority of total user spending. By calibrating a country-specific grossing baseline (Rank 1 daily earnings) with store-specific multipliers derived from mobile intelligence publications, we apply a power-law regression formula to compute the estimated daily revenue for any ranking position from 1 to 200. Monthly revenue is estimated by projecting these daily metrics over a 30-day period.
Q2. What factors cause differences between estimated and actual game revenues?
Our revenue figures are algorithmic estimates intended for high-level competitive analysis and market research. Actual revenues can differ due to several off-platform or hidden factors: first, direct-to-consumer (D2C) web shops where players purchase items outside of the official stores; second, advertising-based monetization (AdMob, Unity Ads, etc.) which is not reflected in official app store grossing charts; third, specific regional promotions, bundle sales, or sudden live-ops updates that cause short-term spending spikes.