Analytics & measurementIntermediate

Funnel analysis

Funnel analysis measures how many users move through each step of a defined sequence, such as visit, pricing, sign-up, and where they drop off.

Funnel analysis tracks users across an ordered set of steps that lead to an outcome and shows completion and drop-off at each step. It turns a vague conversion rate into specific questions: is the problem getting people to the pricing page, or getting them from pricing to sign-up? GA4's funnel exploration and product analytics tools both support it.

Designing a funnel

Choose steps that represent real progress and that are reliably tracked. Too many steps make the funnel noisy; too few hide where problems are.

  • Example: landing page view, pricing page view, sign-up started, sign-up completed, first project created
  • Open funnel: users can enter at any step
  • Closed funnel: users must enter at the first step
  • Directly followed versus indirectly followed: whether steps must be consecutive

What to look for

Look for the largest drop between consecutive steps, then break it down by device, channel, landing page and new versus returning users. A drop concentrated in one segment usually has a specific cause, such as a broken mobile form.

GA4 funnel explorations can show elapsed time between steps and the next action users took after abandoning, which helps explain drop-off.

Where funnels mislead

Real buyers rarely follow one path. B2B purchases involve several people and visits over weeks, and some steps happen offline. Treat a funnel as a model of the main path, not a complete map, and check that each step's event fires consistently before reading the drop-offs.

Example

A mobile drop at sign-up

Imagine Pewterline, an invoicing SaaS, builds a funnel from organic landing page to account created. The pricing to sign-up step drops far more on mobile than desktop. A session replay check reveals that the sign-up form's password rules are hidden below the keyboard. Fixing the layout closes much of the gap.

Common mistakes

Steps that rely on fragile tracking

If a step's event is unreliable, its drop-off is fiction.

Optimizing a step in isolation

Pushing more people into the next step can lower quality further down. Watch the end of the funnel too.

Questions

Conversion rate gives one number for start to finish. Funnel analysis shows each step, so you can see where the loss happens.

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