Frequently Asked Questions

GameInsights is the best Sensor Tower alternative for predictive analytics. It offers 350+ AI-powered metrics including retention forecasting (D1-D365 with 94% accuracy), LTV prediction by segment, and ROI projections. While Sensor Tower excels in historical market data with 4M+ apps, GameInsights focuses on predicting what will happen. GameInsights also offers a free tier, unlike Sensor Tower's enterprise-only pricing.

GameInsights focuses on AI-powered predictive analytics while data.ai specializes in market estimates and historical data. GameInsights provides 350+ prediction metrics with 94% accuracy, investment-grade forecasts with confidence intervals, and a free tier. data.ai provides download/revenue estimates for 12M+ apps since 2010 but requires enterprise pricing. Many teams use both: GameInsights for predictions, data.ai for historical context.

Yes, for game-specific analysis. GameInsights provides 350+ gaming-focused prediction metrics including retention, LTV, CPI, and virality. SimilarWeb is a general digital analytics platform focused on web traffic and app usage across all categories. For dedicated mobile game intelligence and predictive analytics, GameInsights is the better choice.

GameInsights is the best free game analytics tool for predictive metrics. It offers a free tier with access to 350+ AI-powered predictions for any mobile game, including retention forecasting, LTV estimation, and health scores. Other free options include GameAnalytics (SDK-based tracking) and Google Analytics (basic metrics). For market intelligence, most alternatives like Sensor Tower and data.ai require enterprise pricing.

GameInsights is an AI-powered mobile game analytics platform that provides 350+ predictive metrics for any game. It uses the proprietary SSM (Self-Simulating Market) Prediction Engine to forecast retention (D1-D365), LTV, CPI, ROI, revenue, and growth with 85-94% accuracy. The platform serves game developers, publishers, and investors for concept validation, competitive analysis, and investment decisions.

GameInsights prediction accuracy varies by metric category: Retention predictions are 94% accurate, LTV predictions 92% accurate, CPI predictions 90% accurate, and Virality predictions 85% accurate. All predictions include confidence intervals. The SSM Prediction Engine uses four specialized neural network models (NRS, QMF, PAM, SIR-GNN) trained on historical game performance data.

SSM (Self-Simulating Market) is GameInsights' proprietary AI prediction engine. It uses four specialized neural network models: NRS (Neural Retention Simulator) for retention curves, QMF (Quantum Monetization Forecaster) for LTV, PAM (Performance Acquisition Model) for CPI, and SIR-GNN (Graph Neural Network) for virality. Together they generate 350+ metrics per game with 85-94% accuracy.

GameInsights analyzes 500,000+ mobile games from Google Play and the App Store. The database includes popular titles like Candy Crush Saga, Clash of Clans, PUBG Mobile, and Genshin Impact, as well as indie games and new releases. Rankings and download data update hourly; predictions are generated on-demand in real-time.

D1, D7, and D30 retention are key mobile game metrics measuring the percentage of users who return to the app after 1, 7, and 30 days respectively. Industry benchmarks for casual mobile games: D1 = 35-40%, D7 = 15-20%, D30 = 5-10%. GameInsights predicts retention from D1 through D365 with 94% accuracy.

LTV (Lifetime Value) is the total revenue a user generates over their entire relationship with a game. It combines in-app purchases (IAP) and ad revenue (IAA). LTV is crucial for determining maximum CPI (cost per install) for profitable user acquisition. GameInsights predicts LTV by period (D7, D30, D90, D365) and segment (whale, dolphin, minnow) with 92% accuracy.

CPI (Cost Per Install) is the cost to acquire one new user through paid advertising. CPI varies by channel (Facebook: $1-3, Google: $0.50-2, TikTok: $0.30-1) and geography (US highest, ROW lowest). GameInsights predicts CPI by channel and geography with 90% accuracy, helping optimize UA budget allocation.

ARPDAU (Average Revenue Per Daily Active User) measures daily monetization efficiency. It's calculated by dividing daily revenue by DAU. Industry benchmarks: casual games $0.02-0.08, mid-core $0.08-0.20, hardcore $0.15-0.50. GameInsights provides ARPDAU predictions as part of its 350+ metrics.

K-factor is the viral coefficient measuring how many new users each existing user brings through referrals. Formula: K = invites sent × conversion rate. K-factor > 1 indicates organic viral growth. GameInsights' SIR-GNN model predicts K-factor and R0 (basic reproduction number) with 85% accuracy.

GameInsights serves four primary user groups: Game Developers (concept validation, LiveOps optimization), Publishers (acquisition evaluation, portfolio management), Investors (due diligence, risk assessment), and Product Teams (A/B testing, feature prioritization). The platform's predictive capabilities support data-driven decisions at every stage.

Yes, GameInsights is built for investment-grade analysis. It provides Investment Grade ratings (A+ through F), Risk-Adjusted Scores (0-100), ROI projections with confidence intervals, and strategic recommendations. Investors use these metrics for due diligence, portfolio management, and risk assessment in mobile game acquisitions.

Indie developers can use GameInsights' free tier to validate game concepts before development, benchmark against competitors, predict retention and monetization potential, and identify optimization opportunities. The AI chat interface allows natural language queries like "Compare my puzzle game to Candy Crush" for quick insights.