This Block shows the comparison of two groups, which will offer a set of data to compare and then easily understand how best to meet goals. AB testing is typically conducted with large samples of users, events, or observations to draw statistically significant results. Adding statistical significance to these tests ensures that you’re adding the proper rigor to your analysis, and helps avoid erroneous conclusions.
Use-Cases
Industry
With the Looker Block for a Sessionization Funnels, organizations can track user flows to optimize user experience,...
The Looker Block for State Data makes it easy to conduct deep dive analysis on how data changes over time.
The Looker Block for Cohorting Users provides valuable insights into the lifetime purchasing patterns of your...