What is the purpose of the Explorations feature in Google Analytics?

• A. To store raw data.
• B. To perform quick queries on data and validate assumptions about user behavior.
• C. To schedule reports.
• D. To manage user roles and permissions.

Answer: (B)

Explorations in Google Analytics is an interactive analysis tool that lets you dig into data with ad-hoc queries to test ideas about how users behave. It’s designed for quick, flexible exploration, so you can create custom views and use methods like path analysis, funnels, and segment overlaps to examine behavior and validate or refute your hypotheses about user journeys and conversions.

This isn’t a data storage feature—raw data is collected by GA and can be exported elsewhere if you need long-term storage. It also isn’t about scheduling reports or managing who has access; those are handled by other GA features and admin settings.

For example, you might want to see if users from a specific campaign follow a particular path to conversion or where in the checkout funnel most drop off. An Explorations setup lets you compare segments, visualize paths, and quantify where behavior differs, helping you confirm or challenge your assumptions.