Query-ready data,
built for game teams
Consolidate all your analytics into a single, organized, BigQuery instance – ready for you to analyze at the event and player level.
Why Data Warehouse?
Data Warehouse organizes your player and event level data, refreshed daily, so analysts and engineers can skip infrastructure headaches and dive straight into insights.
Advanced SQL Analysis
Run powerful queries without building custom SDKs, data pipelines or storage infrastructure.
Ready-To-Query Data
Skip months of work. Data is clustered and partitioned for cost-efficient querying, and transferred in just days.
Historical Depth
Access 12 months of historical player and event level data, with flexibility to copy and keep it for longer.
Flexible Integrations
Blend multiple data sources. Combine with attribution, monetization, or 3rd-party datasets for deeper analysis.
Built for advanced insights
Whether you’re profiling users, running A/B tests, or modeling churn, Data Warehouse is built to support it all. Explore some of the use cases our customers put into practice.
你自己的无忧数据工作台
Train ML and AI models for churn prediction, pLTV modeling, player segmentation, and dynamic pricing with ready-to-train datasets. Build lookalike profiles and power smarter bidding strategies to spot and retain high-value users.
Advanced behavior analysis
Dive into event level tables to see patterns in user interactions. Identify sequences that drive retention, analyze custom A/B test results, or discover links between specific events and ad views or IAP conversions.
Audience segmentation
Slice your audience by playtime, spend, progression, or currency usage. Build precise segments for re-engagement, cross-promotion, retargeting, or offers, and reach the right players every time.
User-level ROI analysis
Merge device-level ad and IAP revenue with attribution or ad campaign data. Pinpoint profitable players, retain them with engaging LiveOps campaigns, or direct them to new titles to extend their lifetime value.
Cross-title & revenue validation
Track players across multiple games in your portfolio with shared identifiers. Validate in-game revenue against external sources (eg, attribution platforms) to ensure accuracy, consistency, and smarter decision-making.
The ease of setup made Data Warehouse a clear choice. It offered us a platform to go deep and granular with our data, it’s incredibly powerful. We have access to an enormous amount of data in BigQuery. It requires some good knowledge of SQL, but it’s the way to go if you want to dig deep into what happens to your users.
阅读更多
David Smit
CPO
,
Roamer Games
让您的数据完全连接起来
您可以轻松地将数据提供给分析师在任何 BI 工具中使用，无需考虑基础设施成本。
经常问的问题
每位用户的活动限制是多少？
每位用户每天最多只能有 500 个事件（平均）。对于跨平台的游戏来说，这通常足够了。
请注意，如果您超过此限制，我们仍将收集事件。系统会通知您已超过上限，并将有时间解决这个问题。
我们需要自己托管数据吗？
有了数据仓库，不行。您无需自己托管数据——这包含在全包解决方案中。您只需查询所需内容即可。
使用数据导出功能，是的。您的数据将导出到您的云存储。
如何设置我的自定义事件？
你如何定义独特用户？
我们通过在此期间发送至少一个事件的不同用户的数量来衡量。例如，对于 MAU，它是在特定月份内发送至少一个事件的用户数量。
数据保留多长时间？
请参阅我们有关数据仓库数据保留的文档 这里。对于数据导出，由于数据托管在您的云存储上，因此受您的内部数据保留政策的约束。
我可以在 Tableau 等商业智能工具中使用数据吗？
是的。借助数据仓库，您可以使用 BigQuery 中提供的原生连接器或创建新的连接器。借助数据导出，您可以使用自己选择的工具设置管道。
预订演示
每个工作室或出版商都有独特的需求，我们致力于提供量身定制的解决方案来满足这些需求。要了解更多信息并获得个性化报价，请填写下面的简短表格。