Gaming performance analysis has evolved from simple scorekeeping to sophisticated player behavior tracking. Whether you're optimizing player retention, analyzing monetization patterns, or fine-tuning game balance, the right data analysis approach can make the difference between a good game and a legendary one.
With Sourcetable's AI-powered analysis tools, you can transform raw gaming metrics into actionable insights that drive player engagement and business growth. No complex coding required – just intelligent spreadsheet analysis that adapts to your gaming data.
Powerful analytics capabilities designed for the unique needs of gaming professionals
Monitor player behavior, session lengths, and engagement patterns as they happen. Get instant alerts when metrics change significantly.
Let AI identify trends in player behavior, predict churn risk, and suggest optimization strategies based on your gaming data.
Combine data from multiple gaming platforms, analytics tools, and monetization sources in one unified dashboard.
Identify bottlenecks, optimize game balance, and improve player experience with data-driven recommendations.
Track in-app purchases, subscription metrics, and player lifetime value with sophisticated financial modeling.
Create personalized views for different stakeholders – from developers to executives – with drag-and-drop simplicity.
A mobile game studio noticed their Day 7 retention dropping from 45% to 32% over three months. Using Sourcetable's cohort analysis features, they discovered that players who completed the tutorial had 68% higher retention rates. The insight led to tutorial redesign that boosted overall retention by 23%.
An indie game developer used Sourcetable to analyze in-app purchase patterns across different player segments. They found that players who made their first purchase within 72 hours had 5x higher lifetime value. This insight helped them optimize onboarding flow and increase revenue per user by 34%.
A strategy game team analyzed win rates across different character classes and found one class winning 73% of matches. Using Sourcetable's statistical analysis tools, they identified the optimal balance adjustments, leading to more competitive gameplay and increased player satisfaction scores.
A gaming analytics team tracks performance across multiple titles, comparing metrics like session length, engagement rates, and revenue per daily active user. Sourcetable's comparative analysis features help them identify best practices and replicate success across their portfolio.
Discover how gaming professionals leverage Sourcetable for data-driven decision making
Monitor player journeys, identify drop-off points, and optimize user experience. Track metrics like session frequency, feature usage, and progression rates across different player segments.
Analyze revenue streams, track conversion funnels, and optimize pricing strategies. Compare performance across different monetization models and identify high-value player segments.
Evaluate gameplay mechanics, character/weapon balance, and competitive fairness. Use statistical analysis to ensure engaging and balanced gaming experiences.
Track engagement and revenue during special events, seasonal content, and limited-time offers. Measure impact on player retention and spending patterns.
Compare performance across different gaming platforms, devices, and regions. Identify optimization opportunities for each platform and audience segment.
Benchmark performance against industry standards and competitor metrics. Track market positioning and identify competitive advantages.
Import data from analytics platforms, game engines, app stores, and monetization tools. Sourcetable automatically recognizes gaming metrics and formats your data for analysis.
Let Sourcetable's AI identify patterns in player behavior, detect anomalies, and suggest areas for optimization. Get instant insights without complex statistical knowledge.
Build dashboards for different stakeholders with drag-and-drop simplicity. Track KPIs like DAU, retention rates, ARPU, and conversion metrics in real-time.
Use insights to make data-driven decisions about game features, monetization strategies, and player experience improvements. Track the impact of changes over time.
You can analyze all key gaming performance metrics including daily/monthly active users, retention rates, session length, in-app purchase data, player progression, engagement metrics, churn rates, lifetime value, and conversion funnels. Sourcetable automatically recognizes common gaming data formats.
Sourcetable can connect to live data sources and update your analysis in real-time. Set up automated data refreshes from your analytics platforms and get instant notifications when key metrics change significantly.
Yes, Sourcetable excels at combining data from multiple sources. Import data from mobile app stores, PC gaming platforms, console analytics, social media, and monetization platforms to get a complete view of your gaming performance.
No, Sourcetable's AI assistant helps you perform sophisticated analysis without statistical expertise. It can suggest appropriate analysis methods, interpret results, and provide actionable recommendations based on your gaming data.
Sourcetable includes built-in cohort analysis and retention tracking features. Create retention curves, identify at-risk players, and analyze the factors that influence player lifetime value and churn probability.
Absolutely. Create executive summaries for leadership, detailed performance reports for developers, and marketing-focused dashboards for growth teams. Each stakeholder can access the metrics most relevant to their role.
To analyze spreadsheet data, just upload a file and start asking questions. Sourcetable's AI can answer questions and do work for you. You can also take manual control, leveraging all the formulas and features you expect from Excel, Google Sheets or Python.
We currently support a variety of data file formats including spreadsheets (.xls, .xlsx, .csv), tabular data (.tsv), JSON, and database data (MySQL, PostgreSQL, MongoDB). We also support application data, and most plain text data.
Sourcetable's AI analyzes and cleans data without you having to write code. Use Python, SQL, NumPy, Pandas, SciPy, Scikit-learn, StatsModels, Matplotlib, Plotly, and Seaborn.
Yes! Sourcetable's AI makes intelligent decisions on what spreadsheet data is being referred to in the chat. This is helpful for tasks like cross-tab VLOOKUPs. If you prefer more control, you can also refer to specific tabs by name.
Yes! It's very easy to generate clean-looking data visualizations using Sourcetable. Simply prompt the AI to create a chart or graph. All visualizations are downloadable and can be exported as interactive embeds.
Sourcetable supports files up to 10GB in size. Larger file limits are available upon request. For best AI performance on large datasets, make use of pivots and summaries.
Yes! Sourcetable's spreadsheet is free to use, just like Google Sheets. AI features have a daily usage limit. Users can upgrade to the pro plan for more credits.
Currently, Sourcetable is free for students and faculty, courtesy of free credits from OpenAI and Anthropic. Once those are exhausted, we will skip to a 50% discount plan.
Yes. Regular spreadsheet users have full A1 formula-style referencing at their disposal. Advanced users can make use of Sourcetable's SQL editor and GUI, or ask our AI to write code for you.