Beginner
The GA4 mental model: everything is an event
Understand users, sessions, events, and parameters without getting lost in analytics jargon.
Browse 18 comprehensive articles and 25,159 words of practical learning. Search inside every chapter, filter by discipline, or follow the series in order.
Understand users, sessions, events, and parameters without getting lost in analytics jargon.
Learn accounts, properties, data streams, tags, and the checks that prevent duplicate or misplaced data.
Learn containers, tags, triggers, variables, data layers, previewing, publishing, and version control through one reliable GA4 workflow.
Choose the right event type, add useful context, and mark the actions that matter to the business.
Implement the complete shopping journey with consistent items, transaction IDs, value, currency, refunds, and product-level QA.
Navigate dimensions, metrics, comparisons, dates, Realtime, and standard reports with confidence.
Learn how visitors arrive, how campaign tags work, and why attribution is a model rather than absolute truth.
Build a practical QA routine using preview tools, DebugView, Realtime, filters, and repeatable test cases.
Move from collecting everything to governing a focused event taxonomy, custom definitions, and release process.
Build focused analyses with free-form tables, funnels, paths, segments, and careful interpretation.
Understand where each grouping tool works, when membership begins, and how identity affects interpretation.
Understand the export schema, nested parameters, timestamps, SQL unnesting, and cost-aware analysis.
Connect analytics and advertising without confusing measurement, conversion actions, audience eligibility, or modeled credit.
Design governed GA4 dashboards with clear questions, compatible blends, meaningful comparisons, and honest measurement notes.
Learn report requests, dimensions, metrics, date ranges, filters, pagination, quotas, and production validation for the GA4 Data API.
Design approved server-to-GA4 event collection with identifiers, timestamps, validation, deduplication, privacy, and reconciliation.
Build privacy into collection, understand consent-aware reporting, and communicate gaps without hiding them.
Turn metrics into careful recommendations, build a portfolio case study, and communicate uncertainty clearly.