Hive Analytics is an analytics solution built for games that analyzes player behavior and game metrics based on game events collected through the Hive SDK. Developed by Com2uS Platform, it is a B2B game analytics platform for game studios and publishers, giving live-ops, marketing, and development teams one shared view of how players engage, convert, and spend.
With event-based analytics, teams build charts, funnel analysis, cohort analysis, and rankings directly in the UI, with no queries to write. Funnels reveal step-by-step conversion and drop-off, cohort-based retention shows how players return over time, and shared dashboards bring these views together so the whole team works from the same numbers.
For player segmentation, Hive Analytics combines more than 40 built-in attributes with custom events. Segments can be used for targeted push and promotion campaigns through Hive. User activity tracking follows individual players' event flows, which helps compare high spenders with suspected abusers. For monetization, teams can rank users by in-app revenue, view metrics across six player classification types such as whales, dolphins, and free users, and compare revenue across currencies on one basis.
Common metrics are defined once and applied across every chart and dashboard. Internal-user exclusion, filters, and currency and time settings keep results consistent. Mobile measurement partner (MMP) integrations bring acquisition data into the same analysis, and raw data export to AWS S3 or Google Cloud Storage supports in-house pipelines. Role-based access control at the organization and workspace level keeps data access aligned with each team's responsibilities.