User journey analytics

User journey analytics studies the ordered path a person takes — the pages viewed, features used, or channels touched — from an early interaction through to a goal such as a purchase, signup, or churn. Unlike a single session, a journey can span multiple sessions, devices, and even marketing channels over days or weeks.

It is built from the same clickstream and sessionization work used for session-level reporting, but stitches sessions together per user rather than treating each one in isolation, and typically overlays a defined set of touchpoints or milestones onto the raw path. This differs from funnel analysis, which measures a fixed, predefined sequence of steps; journey analytics is more exploratory, surfacing the paths people actually take, including ones the team never anticipated. It is closely related to customer journey mapping, the qualitative, design-led counterpart built from research rather than logged events.

User journey analytics matters for finding where real users diverge from the intended path, and for understanding which sequences of touchpoints precede conversion or drop-off. The main pitfall is combinatorial explosion: with enough steps and channels, the number of distinct paths grows too large to inspect individually, so most analysis relies on clustering similar paths or focusing on the handful most common or most associated with the outcome of interest.