This article addresses the critical challenge of analytics data fragmentation faced by organizations operating across heterogeneous client platforms. The architectural framework presented standardizes event collection across Web, Android, iOS, Roku, and Smart TV environments while respecting platform-specific constraints. Schema versioning strategies, governance models, and instrumentation techniques establish data consistency throughout the analytics lifecycle. Unified analytics architectures enable organizations to accurately measure business-critical metrics, conduct cross-platform experimentation, and accelerate product decision-making. The balance between standardization requirements and platform-specific considerations creates a foundation for scalable analytics that supports improved user retention analysis, engagement measurement, and cohort comparison. The contributions span both theoretical understanding and practical implementation of cross-platform analytics systems in complex technical environments.