analytics-tracking

A tracking plan for GA4 and GTM requires a structured event taxonomy using object_action naming conventions, standard properties, and recommended events for marketing and product contexts. This skill provides a ready-to-use framework to define, implement, and validate your measurement setup.

The best way to name analytics events is using a disciplined object_action convention with lowercase letters and underscores. This standardizes your event taxonomy across marketing sites and apps, ensuring consistent measurement and reliable data quality.

To ensure privacy compliance during event tracking implementation, follow established data quality and privacy guidelines. This skill includes specific privacy compliance workflows and debugging steps to validate that your GA4 and GTM measurements adhere to regulatory requirements.

Yes, this event tracking approach applies to both websites and apps using GA4 and GTM. It provides a cohesive event library framework tailored for marketing sites, product/app contexts, and monetization scenarios to ensure consistent measurement across platforms.

Debug GA4 and GTM event tracking issues by following structured validation steps and debugging workflows. This skill outlines specific debugging and data quality guidelines to identify measurement inconsistencies and ensure reliable analytics data for decision-making.

Marketing metrics are often ambiguous and inconsistent due to a lack of a cohesive tracking plan and disciplined event naming conventions. Implementing a structured event taxonomy with standard properties and validation steps resolves these measurement issues.