User Journeys
Visualize the most common navigation paths visitors take through your website and identify drop-off points with interactive Sankey diagrams.
Overview
User Journeys shows you the actual paths visitors follow as they navigate your website. Rather than looking at individual page views, you see complete multi-step flows — from landing page through to conversion or exit. The data is presented as an interactive Sankey diagram where each band represents a group of visitors flowing from one page to the next.
Getting Started
Navigate to Audience → User Journeys in the dashboard sidebar. The page loads with default settings covering the last 30 days.
Filters
Use the controls at the top of the page to refine the data:
| Filter | Purpose |
|---|---|
| Date range | Select the time period to analyze. Defaults to the last 30 days. |
| Widget | Focus on a specific widget or view data across all widgets. |
| Steps | Set how many navigation steps to display (e.g. 3 steps shows landing → page 2 → page 3). |
| Limit | Control how many unique journey paths to include. Higher limits show more detail but can be harder to read. |
| Step filters | Pin a specific URL at any step to see only journeys that pass through that page. |
Step Filters
Step filters let you answer questions like "Where do visitors go after visiting /pricing?". Type a URL path into the filter field for any step position and the diagram updates to show only matching journeys.
/ and step 3 to /signup to see every path from the homepage that ends at the signup page.Reading the Sankey Diagram
The Sankey diagram is the main visualization on the page. Here is how to read it:
- Columns represent navigation steps (step 1, step 2, step 3, etc.)
- Nodes (blocks) within each column represent individual pages, sized by the number of sessions that visited that page at that step
- Bands (connecting flows) show how visitors moved between pages, with wider bands indicating more traffic
- Hover over any node or band to see exact session counts
Pages that appear at multiple steps will have a node in each column, so you can see how traffic redistributes across steps.
Journey Table
Below the diagram, a table lists the top journey paths with exact numbers:
| Column | Description |
|---|---|
| Path | The full sequence of pages the visitor navigated (e.g. / → /features → /pricing) |
| Sessions | How many visitor sessions followed this exact path |
| Share | What percentage of total sessions this path represents |
The table is sorted by session count, so the most popular journeys appear first.
Practical Use Cases
- Conversion analysis — Filter step filters to your signup or checkout page to see which entry paths lead to the most conversions
- Content discovery — See which pages visitors naturally explore after reading a blog post or landing page
- Drop-off identification — Look for steps where the majority of visitors exit rather than continuing deeper
- Campaign evaluation — Select a specific date range around a marketing campaign to see how campaign traffic behaved differently