The pathing tool visualizes the sequential flow of users through a site or app, starting from a specific event or working backward from a conversion.
Path exploration is provided as a dynamic tree-graph visualization within the Explorations workspace, allowing analysts to uncover organic user navigation patterns. Instead of forcing analysts to guess the steps users take, the tool visually maps out the sequence of page views or triggered events. A key strength is its bidirectional capability: analysts can start from an entry point (like a landing page) to see where users go, or select an endpoint (like a purchase event) to map the steps that led up to it. This is invaluable for identifying loop behaviors, unexpected drop-offs, or confusing site architectures. However, unlike dedicated UX tools, it does not pair this quantitative pathing with qualitative session recordings to explain why users behave that way.
The Pathfinder tool visually maps all possible user journeys branching out from a starting event or converging toward a target goal.
To understand organic user journeys, the platform utilizes its powerful Pathfinder visualization. This dynamic tree-graph tracks exactly what users do immediately before or after a specified central event. It is particularly effective because it maps not just pageviews, but any defined custom event, highlighting complex behavioral loops (e.g., viewing an error message, retrying a form, viewing an error again). A key advantage is the ability to aggressively filter the paths, hiding noisy, irrelevant events to cleanly isolate the specific workflow the product team is trying to optimize. This is far superior to standard web analytics pathing tools that merely track URL navigation.
The Paths tool visualizes organic user navigation, allowing teams to map journeys based on pageviews, custom events, or screen names.
To understand how users naturally navigate an application, the platform provides a dynamic User Paths visualization. This tree-graph maps out the exact sequence of events or pageviews users trigger before or after a specific milestone. A key strength is the ability to heavily customize the nodes; analysts can choose to only map specific custom events, ignore noisy pageviews, or group URLs by regex rules to clean up the visual flow. This makes it highly effective for analyzing complex Single Page Applications (SPAs). While incredibly useful for spotting navigation loops, highly complex enterprise apps with thousands of events can quickly render the visualization overwhelming without strict filtering.
The Flow visualization maps extensive user journeys, allowing analysts to track the sequence of page views, custom variables, or specific user actions.
Journey mapping is handled through the robust Flow visualization tool, which provides a dynamic, interactive diagram of sequential user behavior. Analysts can start the flow at any dimension—not just pages, but specific custom variables (eVars), marketing channels, or triggered events. It allows for multi-directional pathing, meaning teams can analyze the flow leading up to a specific conversion event or the path taken after an entry point. A unique strength of this platform is its ability to handle immense scale and complexity, smoothly visualizing hundreds of diverging paths across enterprise-level traffic volumes. While highly detailed, it requires a well-structured implementation of custom variables to accurately represent logical business paths rather than just noisy page URLs.
Includes a premium pathing plugin to visualize sequential user journeys across pages and events.
To understand organic user navigation, the platform uses a premium Users Flow plugin. This tool creates a dynamic visual graph showing common user paths through the website. Analysts can define starting points or work backward from conversion goals to analyze user journeys. While effective, the visualization can become cluttered on complex sites with many URLs. Unlike deep enterprise tools, it lacks deep filtering capabilities for isolating specific user paths amidst heavy traffic.
Provides a visual User Flow report to analyze navigation patterns and visitor movement between pages and events.
To understand user navigation, the platform offers a User Flow visualization. This interactive report maps page views and custom events during sessions, showing entry points, dominant paths, and exit points. A key feature is the ability to apply audience segments, comparing navigation paths of different traffic types. However, the visual interface can be challenging to interpret on large sites with complex URL structures.
Includes a basic flow report showing the next page visitors navigate to after landing on a specific URL.
The platform offers a lightweight pathing feature to understand immediate site navigation. By selecting a page in the Top Pages report, analysts can view 'Entry Pages' or 'Exit Pages' to see visitors' next steps. While providing a quick snapshot of user flow, it is not a full-scale journey mapping tool. It lacks complex visualizations for tracking extended navigation paths, making it difficult to analyze deep navigation loops on large websites.
The Flows report visually maps out complex user navigation, revealing exactly what users do immediately before or after a target event.
To analyze organic user journeys, the platform features a dynamic visualization tool called "Flows." This tree-graph report tracks the sequential paths users take, mapping out the specific custom events triggered leading up to a goal or immediately following an entry point. A significant advantage is the ability to easily exclude noisy, irrelevant events from the visualization, allowing analysts to focus cleanly on core product workflows rather than cluttered background pings. It effectively highlights common drop-off points, unexpected behavioral loops, and alternative paths users invent. It is an indispensable tool for UX researchers and product managers aiming to streamline application navigation.
