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Mobile Analytics Standardization

posts

2025

Uber has standardized its mobile analytics pipeline to address inconsistencies in event definitions, instrumentation, and metadata. This initiative involved defining core event types (Tap, Impression, Scroll) with standardized emission rules, incorporating common metadata at app and event levels, and implementing sampled event coverage for unmapped/disabled events. The goal is to improve data quality, reduce engineering effort, and enable more reliable cross-platform insights for product teams. The post details the implementation of standardized event types (Tap, Impression, Scroll) with specific emission rules, the introduction of common metadata at app and event levels, and the implementation of sampled event coverage for unmapped/disabled events. It also covers the pilot process, broad adoption strategies including centralized and distributed migrations, and the benefits realized by data consumers such as clear semantics, cross-platform parity, accurate impression counts, high reliability, and lower data volume via sampling.

2025

How Uber Standardized Mobile Analytics for Cross-Platform Insights

10/2/2025

This post details the implementation of standardized event types (Tap, Impression, Scroll) with specific emission rules, the introduction of common metadata at app and event levels, and the implementation of sampled event coverage for unmapped/disabled events. It also covers the pilot process, broad adoption strategies including centralized and distributed migrations, and the benefits realized by data consumers such as clear semantics, cross-platform parity, accurate impression counts, high reliability, and lower data volume via sampling.