How to See User Path in Google Analytics 4

Trying to understand how users navigate your website in Google Analytics 4 can feel like searching for a tool that's no longer there. If you're used to the old Behavior Flow report, you've probably noticed it's missing. This article will show you exactly how to visualize user journeys in GA4 using its powerful (and arguably better) replacement: the Path Exploration report.

Graphed

Still Building Reports Manually?

Watch how growth teams are getting answers in seconds — not days.

Watch the Demo

So, What Happened to Behavior Flow?

If you're migrating from Universal Analytics (UA), one of the first things you'll notice in GA4 is the absence of the 'Behavior Flow' report. This isn't an oversight, it's a fundamental change in how Google Analytics thinks about user interactions.

Universal Analytics was session-based. It tracked a user's journey as a linear sequence of pageviews within a single visit. The Behavior Flow report was built on this concept, showing how traffic moved from one page to the next during a session.

Google Analytics 4 is event-based. It views every interaction - a page view, a button click, a purchase - as an individual event. This is a much more flexible and powerful model, as it captures what users are actually doing, not just what pages they are viewing. The replacement for Behavior Flow is a tool called Path Exploration, designed entirely around this new event-based approach.

Introducing Path Exploration in GA4

The Path Exploration report is your go-to tool for visualizing the user journey in GA4. It lives within the 'Explore' section, a robust reporting suite that allows for deep, custom analysis that wasn't possible in standard UA reports.

Unlike the old Behavior Flow, which forced you into a single view, Path Exploration lets you track user flows in two primary ways:

• Forward Path (Starting Point): Shows the steps users take after a specific starting page or event. This is perfect for seeing what people do when they land on your homepage or after they complete a key action.
• Backward Path (Ending Point): Shows the most common steps users take before reaching a destination page or conversion event. This is incredibly valuable for understanding how people get to your checkout, thank you pages, or other conversion points.

By mapping out sequences of events or pageviews, you can uncover common user journeys, identify conversion paths, and spot where users are getting stuck or dropping off.

Graphed

Still Building Reports Manually?

Watch how growth teams are getting answers in seconds — not days.

Watch the Demo

How to Build Your First Path Exploration Report (Step-by-Step)

Getting started with path exploration is surprisingly straightforward once you know where to look. Let's walk through creating a basic report to see how users navigate from the moment they land on your site.

Step 1: Open the Path Exploration Template

In your GA4 property, navigate to the left-hand menu and click on Explore. This will take you to the Explorations hub. You can create a new blank exploration, but the easiest way to start is by using a pre-built template.

In the template gallery, find and click on Path exploration. This will generate a new unbound report with some sample data already populated.

Step 2: Choose Your Starting or Ending Point

The first thing you’ll want to do is define the start or end of the journey you want to analyze. The report defaults to session_start as a starting point, which shows what users do at the beginning of a new session.

To change this, look at the “Tab Settings” column on the left. Click on STARTING POINT or ENDING POINT. You can drag a dimension from the "Variables" column into this box or click on it to select your desired starting point.

For example:

• To see paths from when a session starts, choose the session_start event.
• To see paths from a specific page, choose Page path and screen name, then select a specific page URL.

Step 3: Analyze the Visuals

The central part of the report is the tree graph. This visualization shows the flow of users step by step.

• Your starting point appears as the first column on the far left.
• Step +1 is the next column, showing the most common pages or events users triggered right after the starting point.

The blue bars connecting the nodes represent the paths, and the thickness of the bar indicates the volume of users. You can hover over any part of the graph to see the exact user counts. To expand the journey, simply click on one of the nodes (a specific event or page) to see what users did next in "Step +2." You can continue clicking to reveal up to 10 steps in the user path.

If you see a grey node labeled "(not set)", it often means GA4 hasn't recorded the next step or the data is still being processed.

Graphed

Still Building Reports Manually?

Watch how growth teams are getting answers in seconds — not days.

Watch the Demo

Step 4: Customize Your View for Better Insights

The real power of Path Exploration comes from its customization options, all located in the "Tab Settings" and "Variables" columns.

Change the Node Type

By default, the path might be built using Event name. This is useful for seeing actions like page_view, view_item, and add_to_cart. However, to see the specific pages users visit, you need to change this. Above the graph, click on the dropdown and select Page path and screen name. This transforms your report from a sequence of actions into a sequence of literal pages visited.

Apply Segments

Segments let you isolate specific groups of users. For example, you can analyze the paths of "Mobile Users" versus "Desktop Users" or users who came from "Organic search."

In the 'Variables' column, click the '+' icon next to Segments. You can create a user segment based on dimensions like Device category, Traffic source, or Country. Once a segment is created, drag it into the "Segment Comparisons" box in the Tab Settings column. Your report will now update to show just the data for that group.

Add Filters

Filters narrow down the data in your report. They are great for quickly excluding or including certain data without building a whole new segment. For example, you could add a filter to see paths for users only from a specific city or users who used a certain device.

You’ll find filters below the Segment box in the Tab Settings. Simply drag a dimension over and define your conditions.

Practical Examples of Path Analysis

Theory is great, but let's look at a few common scenarios where Path Exploration can give you actionable insights.

Example 1: Tracing the Path from a Blog Post to Conversion

You’ve written a new blog post and want to know if it's effectively guiding visitors to your product or sign-up page.

• Goal: See where people go after reading a specific blog post.
• How to set it up:

Analysis: Look at the paths in Step +1, +2, etc. Are users going to your product pages? Your pricing page? Or are they just going back to the homepage and leaving? A high drop-off rate or users going to irrelevant pages means your calls-to-action on the blog post may need work.

Graphed

Still Building Reports Manually?

Watch how growth teams are getting answers in seconds — not days.

Watch the Demo

Example 2: Discovering Your "Golden Paths" to Purchase

You want to understand the most common journeys users take before making a purchase so you can optimize those flows.

• Goal: Find the most common steps that lead to a successful purchase.
• How to set it up:

Analysis: The report now works in reverse. "Step -1" shows the last page users were on right before the purchase. "Step -2" shows the page before that. This helps you identify the most successful conversion funnels on your site. Perhaps you'll find that a surprising number of people go from a specific case study page directly to checkout, highlighting a powerful piece of content you should promote more.

Example 3: Finding Friction and Drop-Off Points

Where are users getting frustrated and leaving your site? Path analysis can reveal bottlenecks you didn’t know you had.

• Goal: Identify pages or steps with high exit rates in a key funnel.
• How to set it up:

Analysis: For example, you might see that 1,000 people visited your shopping cart page, but only 400 proceeded to checkout. You just found a major drop-off point. It’s now time to investigate why. Is the shipping cost a surprise? Are there bugs? Is the "checkout" button hard to find?

Final Thoughts

While the new event-based model in Google Analytics 4 takes some getting used to, the Path Exploration report is a much more flexible and insightful tool than the old Behavior Flow. By mastering it, you can move away from just measuring pageviews and start understanding the actual steps, decisions, and journeys your users take on your path to conversion.

Analyzing on-site behavior is the first piece of the puzzle, but true insight comes from connecting it to what happens upstream - the ad that brought a user to your site, the email campaign they clicked on, or the social post that caught their eye. We use Graphed to connect all these disparate sources with our Google Analytics data in one place. It lets us ask questions about our entire marketing funnel in plain English, and Graphed builds live dashboards for us in seconds, helping us see the full end-to-end journey without wrangling data from six different platforms.