Google Analytics · Reporting

How to Use Exploration Reports in GA4

Explore is where GA4 stops being a dashboard and becomes an analysis tool. Here is how to use Exploration reports, the techniques available like free form and funnel, how to add dimensions and metrics, and when to reach for Explore rather than the standard reports.

Updated: July 2026
Written by: Andrew Odgers, Managing Director
Reading time: 9 minutes
The short answer

Exploration reports are a flexible Explore workspace for building your own analyses with drag-and-drop dimensions and metrics. Techniques include free form, funnel, path exploration and segment overlap. You build one by choosing a technique then dragging in the data you need. Use Explore when standard reports cannot answer your question. Large explorations can be sampled, so check for a sampling notice.

A proper analysis tool

What Explore is, and the techniques it offers

Exploration reports, found in the Explore section, are a flexible workspace for building your own analyses beyond the standard reports, using drag-and-drop dimensions and metrics. They are for deeper digging; because they are free-form, they answer questions the fixed reports cannot, going further than custom reports. Explore offers techniques such as free form for tables and charts, funnel exploration for step drop-off, path exploration for journeys, and segment overlap. Each suits a question; because the techniques differ, you pick the one that matches what you want to learn.

EX 01

Free-form space

Drag and drop.

EX 02

Many techniques

Funnel to path.

EX 03

Deep dives only

Watch sampling.

Building, when to use it and sampling

How to build one, when to use Explore, and the sampling caveat

You build an exploration by choosing a technique, then dragging the dimensions and metrics you need into rows, columns and values, applying segments or filters to focus it. It is drag-and-drop; because you assemble it piece by piece, exploration rewards a clear question first. Use Explore when the standard reports cannot answer your question, such as multi-step funnels or custom segment comparisons, and stick to standard reports for everyday metrics. Match tool to need; because Explore is powerful but involved, save it for genuine deep dives. Large or complex explorations can use sampled data, meaning results are based on a subset, so very big date ranges may show approximate figures. Sampling can apply; because samples are estimates, check for a sampling notice before treating numbers as exact, as our data sampling guide explains.

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Frequently asked

Exploration reports in GA4

What are Exploration reports in GA4?
Exploration reports, found in the Explore section, are a flexible workspace for building your own analyses beyond the standard reports, using drag-and-drop dimensions and metrics. They are for deeper digging. Because they are free-form, they answer questions the fixed reports cannot.
What techniques does Explore offer?
Explore offers techniques such as free form for tables and charts, funnel exploration for step drop-off, path exploration for journeys, and segment overlap. Each suits a question. Because the techniques differ, you pick the one that matches what you want to learn.
How do you build an exploration?
You build one by choosing a technique, then dragging the dimensions and metrics you need into rows, columns and values, applying segments or filters to focus it. It is drag-and-drop. Because you assemble it piece by piece, exploration rewards a clear question first.
When should you use Explore instead of standard reports?
Use Explore when the standard reports cannot answer your question, such as multi-step funnels or custom segment comparisons, and stick to standard reports for everyday metrics. Match tool to need. Because Explore is powerful but involved, save it for genuine deep dives.
Can exploration data be sampled?
Yes, large or complex explorations can use sampled data, meaning results are based on a subset, so very big date ranges may show approximate figures. Sampling can apply. Because samples are estimates, check for a sampling notice before treating numbers as exact.