Path Analysis
Path Analysis shows the sequence and interaction of touchpoints across user journeys, helping to identify patterns and platform synergies.
Path Analysis Page Intro
Features Overview
Path Setup
At the top right of the Path Analysis page, you'll find the Path Setup, which allows you to control how customer journeys are displayed. You can choose to include or exclude the following features:
The selected toggle settings affect only the Touchpoint Type pie chart and the KPI cards. They do not impact any other parts of the Path Analysis page.
Touchpoint Type Chart
The Touchpoint Type pie chart is located between the Path Setup (with toggle bars) and the KPI cards. It displays the proportion of touchpoints by type, including Visits, Synthetic Visits, Impressions, and Synthetic Impressions.
The touchpoint types shown depend on the settings in the Path Setup, as described above. Enabling Impressions and/or Synthetic Impressions in the toggle bar adds those types to the chart. Enabling Path Stitching may change the total number and distribution of touchpoints, as journeys are reconstructed across devices and sessions.
In some cases, you may also see Synthetic Visits. These appear when web data is pulled via the GA4 API, which only provides the first and last touchpoint of each journey. GA4 reports the first touchpoint in the same data row as the last, meaning the last touchpoint receives most of the attribution credit. To preserve the full journey context, Roivenue includes the first touchpoint in the reconstructed path but labels it as a Synthetic Visit, since it lacks full session-level information.
KPIs Cards
At the far left of the top section, you’ll find KPI cards that display key metrics related to the structure and duration of customer journeys. These cards help you quickly assess the complexity and dynamics of your conversion paths.
KPIs cards respond to the settings in the Path Setup described above. This means their values will change depending on whether you include Path Stitching, Impressions, or Synthetic Impressions in your view.
The following metrics are available:
Touchpoints to Convert: The average number (mean) of touchpoints users interact with before converting.
Days to Convert: The average time (mean) it takes users to convert, measured from the first touchpoint.
LT Redistribution: The share of conversion credit assigned to earlier touchpoints, rather than just the final (last-touch) interaction.
Bar Charts
In the middle section of the Path Analysis page, you’ll find two bar charts that provide a deeper look into how long customer journeys typically take, both in terms of time and number of touchpoints.
These histograms break down the distribution of customer journeys, showing:
Touchpoints to Convert: How many touchpoints did users go through before converting, from single-touch journeys to longer, multi-touch paths?
Days to Convert: How long it took users to convert, grouped into time intervals (e.g., within 1 day, 2 days, 3–7 days, etc.).
Venn Diagram (The Overlap Chart)
The Overlap Chart helps you visualise how different types of touchpoints interact within conversion paths, revealing dimension synergies and combinations that contribute to conversions. You can choose any available dimension to define what each touchpoint represents and then select up to three specific values to analyse their overlap. In the demo above, we use the Platform Name dimension to show how touchpoints from different platforms appear together in customer journeys.
Conversion Path Table
The Conversion Path table provides a detailed breakdown of individual conversion paths, helping you understand which types of journeys lead to the most conversions or revenue.
Each row in the table represents a unique path structure, defined by the dimension you select for representing touchpoints. You can then switch between four available metrics to evaluate the performance of each path type from different perspectives. The metrics shown are aggregated, reflecting the total values for all customer journeys that followed the same path.
The table also supports advanced filtering, allowing you to refine your view based on specific conditions.
Using the Filter Panel in the Path Analysis
While certain filters apply only within specific features, such as Path Setup, the Venn diagram, or the Customer Journey table, the Filter Panel allows you to filter data across the entire Path Analysis page. The Filter Panel is available in various parts of Roivenue, but its behavior in Path Analysis has some specific nuances worth highlighting. The filtering logic may differ from what users expect at first glance.
When you select a value in the Filter Panel (e.g., Google Ads under the Platform Name dimension) and apply the only condition, all visualizations on the page will update to show only those conversion paths that include Google Ads at any point in the journey.
If you instead use the exclude option for Google Ads, only those paths that consist exclusively of Google Ads will be excluded. This means that the results will still include paths where Google Ads appears together with other platforms.
You can see this behavior demonstrated in the example below.
FAQ
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