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Use Explore for Advanced Analysis

Objective

To enable users to leverage the Explore feature in GA4 for advanced data analysis, including the use of custom dimensions, filters, segments, and advanced techniques like funnels, paths, and segment overlaps.

Overview

In this SOP, you’ll learn how to:

  1. Navigate the Explore section and its interface
  2. Create explorations using variables, settings, and the canvas
  3. Use templates and advanced techniques like free form, funnel, path, and cohort analyses
  4. Apply filters, segments, and breakdowns
  5. Save, share, and understand differences between Explore and standard Reports

Step 1: Access the Explore Section

From the GA4 interface:

  • Click Explore in the left-hand navigation menu
  • You’ll land on the Explorations homepage, where you can:
    • Create a new exploration from scratch or a template
    • Reopen saved explorations
    • View explorations shared with you

Explorations are private by default. Only the creator can view/edit unless explicitly shared.

SOP 13: Access the Explore Section

Step 2: Understand the Explore Interface

When you open a template or blank canvas, the interface has three main panels:

PanelFunction
VariablesSelect and import dimensions, metrics, segments; rename your exploration
Tab SettingsConfigure rows, columns, filters, visualisation style, and breakdowns
CanvasDisplays your visualised data (can support multiple tabs per exploration)

Step 3: Create an Exploration

Start with a Blank Exploration:

  1. Click Blank to open a fresh exploration
  2. Click the + icon next to Dimensions
    • Add: Page path, Device category, Screen class, Session source/medium
    • Select Import
  3. Click the + icon next to Metrics
    • Add: Sessions, Active users, Views
    • Select Import
SOP 13: Create an Exploration

Build Your Report:

To build a report, you’ll need to double click or drag-and-drop dimensions and metrics from the Variables pane to the Tab settings pane 

  1. Drag Dimensions to Rows
  2. Drag Metrics to Values
  3. To break data down further:
    • Add more Dimension to Columns (for compact comparative layout)
    • Or add to Rows (for stacked breakdowns)
SOP 13: Build your report

Step 4: Apply Filters and Segments

Apply a Filter:

  1. Scroll to Filters at the bottom of the Tab Settings panel
  2. Select a dimension (e.g., Session source/medium)
  3. Set condition: Exactly matches → Google / Organic
  4. Click Apply

This limits all data in the tab to organic search traffic.

SOP 13: Apply Filters and Segments

Create and Apply a Segment:

  1. In the Variables pane, click + next to Segments
SOP 13: Create and Apply a Segment:
In the Variables pane, click + next to Segments
  1. Choose from:
    • Templates (e.g., Demographics, Technology)
    • Suggested (e.g., Recently active users)
    • Predictive (e.g., Likely 7-day purchasers)
    • Or create Custom segment
SOP 13: Create custom segements

Example:

      3. Select Templates → Select Demographics → Set Country ID exactly matches US

      4. Name the segment: US Traffic → Save and Apply

Segments allow you to isolate and analyse specific user groups.

SOP 13: Name the segment: US Traffic → Save and Apply

Step 5: Save and Share Your Exploration

  • Click the Share icon to generate a view-only link (others can’t edit)
  • To make edits to a shared exploration:
    • Duplicate it via the 3-dot menu on the Explorations homepage

Duplicated explorations are private to the new owner and fully editable.

Use Different Exploration Techniques

Explore offers powerful techniques to visualise behaviour and uncover insights:

TechniqueUse Case
Free FormCustom tables and charts with drag-and-drop flexibility
Funnel ExplorationVisualise how users move through steps (e.g., landing > view > purchase)
Path ExplorationDiscover all navigational paths users take, including unexpected loops
Segment OverlapFind where multiple user segments intersect
Cohort AnalysisStudy behaviour over time by user group (e.g., sign-up date cohorts)
User LifetimeTrack the long-term value of acquired users

All techniques can be created from templates or added as tabs in a single exploration.

Understand Data Differences Between Reports and Explore

You might see slight discrepancies between Reports and Explore due to:

ReasonExplanation
SamplingExplore may use sampled data for large datasets (Reports use full data)
Processing DelayData in Reports may process faster than Explore (esp. within 48 hours)
Dimension SupportNot all dimensions in Reports are available in Explore

For critical reports, reduce date range to limit sampling in Explore.

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