Turn Player Data Into Game-Changing Insights Without Writing SQL
Stop guessing what makes players stay and spend. Scoop's AI discovers hidden patterns in player behavior, predicts churn and monetization opportunities, and delivers actionable insights in plain English—no data scientist required.
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The Game Developer's Analytics Nightmare
Data Rich, Insight Poor
You're collecting tons of player behavior data but can't easily find the patterns that matter. Your analytics show what happened, but not why players succeed or fail.
Time Bottlenecks
Simple questions like "why do players quit at level 3?" take days to answer. Every minute spent on data wrangling is time not spent building your game.
Technical Barriers
Game designers and producers need insights but don't have SQL skills. Critical decisions get delayed waiting for data team availability.
Your Game Analytics Tools Are Built for Reporting, Not Discovery
You've connected Unity Analytics, GameAnalytics, Firebase, and other tracking tools to capture every player action. But your current analytics platforms just show basic charts and funnels—they can't uncover the hidden patterns that separate successful games from failures.
The hidden opportunity: All that integrated player data contains insights that could transform your retention, monetization, and engagement. Scoop pulls from your existing analytics tools and applies real ML algorithms to discover patterns your current dashboards will never find—even from a single data source.
While others struggle with surface-level retention reports, you'll discover which onboarding steps predict long-term engagement, what early behaviors indicate high-value players, and which game mechanics actually drive revenue.
The Agentic Analytics™ Advantage
From scattered player data to optimized game features in three powerful steps
Discover Hidden Patterns in Player Behavior
Our AI runs advanced clustering and behavioral analysis that would take a game data scientist weeks—finding engagement patterns you never knew existed.
- Advanced clustering reveals natural player segments
- Decision trees explain what drives retention and churn
- Interactive visualizations for exploring player journeys
- Plain English summaries of complex behavioral patterns
Predict Which Players Will Churn (and Why)
Stop reacting to churn after it happens. Our ML models analyze your historical player data to predict churn probability and explain the key behavioral triggers.
- Classification analysis on your actual game data
- Visual decision trees you can understand and act on
- Identify top predictors of player lifetime value
- Compare different time periods to spot concerning trends
Optimize Game Features with Data-Driven Insights
Don't let insights die in dashboards. Use ML-generated player insights to directly inform game design, feature prioritization, and monetization strategy.
- Export high-value player segments for targeted campaigns
- Identify which tutorial steps cause the most drop-off
- Discover optimal timing for in-app purchase prompts
- A/B test results that actually drive player engagement
Game Development Use Cases
Player Retention Optimization
Identify exactly where and why players drop off. Discover which onboarding elements drive long-term engagement and optimize game difficulty curves.
Monetization Intelligence
Predict which players are likely to make purchases. Optimize pricing and offer timing based on behavior patterns.
Live Operations & Events
Measure impact of limited-time events on engagement. Optimize reward structures and track social feature adoption.
Feature Development Priorities
Understand which game mechanics actually drive engagement. Identify underused features and validate new concepts.
Platform Integration & Compatibility
Scoop works with the analytics tools and game engines you're already using
Direct Integrations
- GameAnalytics (100,000+ developers)
- Unity Analytics & Unity Cloud Build
- Firebase Analytics & Firestore
- Custom APIs and webhooks
Data Import Options
- CSV exports from any analytics platform
- JSON data from custom tracking systems
- Real-time data streams via REST API
- Batch uploads for historical analysis
Game Engine Support
- Unity (all versions 2019.4+)
- Unreal Engine 4 & 5
- Custom C++/JavaScript implementations
- Mobile SDK integration (iOS/Android)
See Scoop in Action
AI discovers hidden player segments based on behavior patterns
Understand what drives retention across your entire player journey
Ready to Level Up Your Game Analytics?
Join 100+ game studios using Scoop to make data-driven decisions that increase player engagement, retention, and revenue.
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