A funnel is a hypothesis. A path is what happened.
When you build a funnel you decide the steps in advance: landed, signed up, activated, paid. That is a hypothesis about the route, and it only reports on people who took it. Everyone who reached the same outcome another way, or wandered off somewhere you did not think to measure, is invisible.
Click path analysis inverts that. Instead of asking "how many people completed my five steps", it asks "what routes do people actually take", and it answers with the pages and events in the order they really occurred. You get the detours, the loops, the back-and-forth between pricing and docs, and the exits you never modelled.
Path analysis and journey analysis are the same thing
The vocabulary is a mess, and it costs teams time. Click path analysis, user path analysis, journey mapping and flow reports mostly describe one capability: sequence reconstruction from the events you already collect. Where they differ is scope. A path usually means one session. A journey usually means the whole relationship, across sessions and devices.
That distinction matters when you read your own numbers. A path report that ends at "left the site" may just be a session boundary, not abandonment. The same user often returns an hour later and finishes.
Four things worth looking for
Entry pages that are not your home page. Most product teams design the home page route and let everything else happen by accident. If a third of sessions start on a blog post or a feature page, that page is your real landing experience and probably has no next step.
Loops. A user bouncing between two pages three or four times is not exploring, they are looking for something that is not there. Pricing to features to pricing is the classic one, and it usually means the pricing page is missing an answer.
Convergence. When many different starting points funnel into the same page before conversion, that page is load-bearing. It deserves more care than its traffic alone suggests.
Exit points with intent. An exit from the docs after a successful copy-paste is a good outcome. An exit from checkout is not. Raw exit rate cannot tell them apart; the path before the exit can.
Turn a path into a change
A path report on its own is a picture, and pictures do not ship. The useful loop is short: find the transition that loses the most people, watch a handful of the recordings behind it, then form one specific hypothesis about why.
This is where path analysis pays off against a funnel. The funnel tells you the activation step drops 60% of users. The path tells you that half of them visited your pricing page immediately before leaving, which is a different problem with a different fix.
Once you have the hypothesis, build the funnel. Funnels are the right tool for measuring a route you have decided matters, and for watching whether your change moved it. Paths are how you find the route worth measuring.
A note on sample size
Path reports fragment fast. Ten sessions produce ten unique routes and no pattern. Read paths at the level of transitions between pages rather than complete end-to-end routes, and give yourself enough traffic that the top transitions are stable week to week. If the top five change every time you look, you are reading noise.