analytics-tracking

A tracking plan structures your GA4 and GTM implementation by defining an event catalog, naming conventions, and data layer architecture. This ensures consistent measurement of sign-ups, conversions, and onboarding steps across marketing and product surfaces.

A tracking plan defines events, properties, validation rules, and documentation for analytics measurement. You need one to prevent underinvested or misconfigured tracking that causes data gaps, delayed decisions, and inconsistent analytics discipline.

Yes, you can measure sign-ups, conversions, onboarding steps, and feature engagements. The skill provides a structured tracking plan with defined events, properties, and validation rules to support these specific product and marketing measurement use cases.

Include privacy compliance in your analytics setup by implementing privacy controls within your GA4 and GTM configurations. The skill defines privacy requirements alongside event catalogs and data quality checks to ensure auditable, compliant measurement.

Debug and validate analytics data quality by applying a robust validation workflow with defined validation rules and data quality checks. This structured approach catches tracking errors early and ensures auditable data across website and app measurement surfaces.

Analytics tracking often has data gaps and delayed decisions because it is underinvested or misconfigured. Defining a structured tracking plan with clear event catalogs, naming conventions, and validation rules eliminates these measurement failures.