Path Analysis
Path analysis is a visualization technique that maps the actual sequences of pages, screens, or events users take through a product, revealing common navigation patterns, unexpected detours, and the most frequent routes to conversion or drop-off.
Also known as: user flow, journey mapping, pathing report, user path analysis
Why It Matters
While funnel analysis tests your hypothesis about how users should move through your product, path analysis reveals how they actually do. Users rarely follow the linear paths designers envision. They jump between sections, revisit pages, and take detours that can reveal both problems and opportunities.
Path analysis is particularly valuable for discovering user intent. If a large percentage of users navigate from your pricing page to your case studies before signing up, that tells you case studies are an important part of the decision process and should be more prominently linked from pricing. If users frequently bounce between two feature pages, they may be trying to understand the difference and could benefit from a comparison view.
The technique also exposes structural issues in your information architecture. Dead ends where users consistently navigate backward, circular paths where users seem lost, and unexpected exits from pages that should drive forward movement all suggest navigation or content problems.
Industry Applications
A home improvement retailer uses path analysis to discover that 35% of users who eventually purchase visit the "returns policy" page during their journey. They add a returns policy summary to product pages and see a 12% increase in add-to-cart rate.
A SaaS product discovers through path analysis that trial users who visit the integrations page before the settings page convert at 2x the rate. They add an "explore integrations" prompt to the onboarding flow.
How to Track in KISSmetrics
KISSmetrics tracks individual user journeys that you can analyze to understand common paths. Use the Activity Report to examine individual user timelines, then look for patterns across users. Build funnels based on the most common paths you discover to measure their effectiveness at scale.
Common Mistakes
- -Trying to analyze every possible path, which creates visual noise and makes patterns impossible to see.
- -Not filtering by outcome (converted vs not converted) to understand what successful paths look like compared to unsuccessful ones.
- -Confusing the most common path with the most effective path - high traffic does not mean high conversion.
- -Ignoring time between steps, which can distinguish between intentional navigation and confused wandering.
Pro Tips
- +Compare paths of users who converted vs those who did not to identify the key differences in their journeys.
- +Focus on the first 3-5 steps after a user arrives from a specific source - this reveals whether your landing experience matches their intent.
- +Use path analysis after a site redesign to verify that users are following the intended new flows.
- +Look for "loop" patterns where users revisit the same pages repeatedly, which often indicates confusion or insufficient information.
- +Combine path data with session recordings for the most insightful pages to understand the "why" behind unexpected navigation patterns.
Related Terms
Funnel Analysis
Funnel analysis is a method of visualizing and measuring how users progress through a defined sequence of steps toward a goal, identifying where they drop off and quantifying conversion rates between each stage.
Session Recording
Session recording captures and replays a video-like reconstruction of individual user sessions, showing mouse movements, clicks, scrolling, typing, and page transitions to reveal exactly how users interact with a website or application.
Heatmap
A heatmap is a data visualization that uses color gradients to show the relative intensity of user interactions on a web page, with warmer colors (red, orange) indicating areas of high activity and cooler colors (blue, green) indicating low activity.
Click Map
A click map is a type of heatmap that specifically visualizes where users click or tap on a web page, showing the distribution and frequency of click interactions across all page elements.
Pages per Session
Pages per session is the average number of pages a user views during a single session, serving as a measure of site engagement and content discoverability.
See Path Analysis in action
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