Running experiments on Google Analytics data using Statsig Warehouse Native

Experimentation is a vital aspect of data-driven decision-making, allowing businesses to test hypotheses and make informed choices based on results. For companies using Google Analytics (GA) and seeking to leverage their data for experimentation, integrating with Statsig Warehouse Native (WHN) via BigQuery can be an effective approach. The process involves exporting GA data to BigQuery, where it can then be connected to Statsig WHN for running experiments and gaining deeper insights. This involves setting up metric sources, metrics, and assignment sources using SQL queries to analyze GA events in BigQuery. The integration requires a GA account with data exported to BigQuery, a Statsig account with WHN features, and familiarity with SQL and BigQuery. Once set up, users can define metrics and assignment sources, run experiments, and analyze results using Statsig's dashboard, offering a comprehensive way to improve user experiences through iterative experimentation.