analytics-tracking

Set up GA4 and GTM tracking by applying a documented tracking plan with naming conventions, event taxonomy, and standard properties. Validate your implementation against a sample data stream using debugging guidance and data quality checks.

An analytics tracking plan defines your event taxonomy, naming conventions, and standard properties for measuring marketing and product scenarios. You need one to ensure consistent data quality and accurate attribution across web and product surfaces.

Audit UTM attribution and event tracking by validating fired events against a sample data stream. Apply debugging guidance and data quality checks to ensure cross-tool integrations like Segment and Mixpanel capture attribution accurately.

Yes, you can use this tracking framework for signups, conversions, feature usage, and funnels. It provides practical use cases for marketing outcomes and product analytics scenarios, applying standard properties across your event taxonomy.

Analytics tracking requires privacy considerations and data quality checks to ensure accurate measurement. Apply debugging guidance during implementation to validate events, maintain standard properties, and ensure cross-tool integrations function correctly.

Inconsistent GA4 event tracking usually stems from missing naming conventions or an undocumented event taxonomy. Establish a tracking plan with standard properties and run debugging data quality checks to resolve measurement discrepancies.