What is a conversion funnel?

A conversion funnel is the ordered sequence of steps a user takes toward a goal — for example visit → sign up → activate → purchase. Funnel analysis measures the conversion rate between steps and where people drop off.

What’s the difference between a funnel and retention?

A funnel measures a one-time path toward a goal across ordered steps. Retention measures whether users come back over time after a starting action. Funnels answer “did they convert?”; retention answers “do they keep coming back?”.

How do you improve funnel conversion?

Find the step with the largest drop-off, then investigate why — confusing UI, friction, or wrong audience. Segmenting the funnel by source, device, or user trait usually reveals which groups struggle most.

What Is Funnel Analysis? Definition & How It Works

Funnel analysis measures how users move through a sequence of steps toward a goal — like signup → activation → purchase — showing the conversion rate at each step and where people drop off.

How funnel analysis works

You define an ordered set of steps, each one an event — for example signup, onboarding_done, order_completed. The funnel then shows, for a chosen time window, how many users completed each step, the conversion rate between steps, and the overall conversion from first step to last. The biggest single drop-off is usually where to focus.

Why it matters

Funnels turn a vague goal (“improve activation”) into a precise question (“why do 60% of users drop between signup and first action?”). Because each step is a real event, you can segment the funnel — by acquisition source, device, country, or any user trait — to see which groups convert and which get stuck.

Time between steps

A good funnel also shows the average time between steps, which separates “users abandoned” from “users just haven’t gotten there yet.” A step that takes days, not minutes, is a different problem than one people never reach.

A worked example

Say 10,000 people enter a signup funnel in a week:

signup — 10,000 (100%)
onboarding_done — 6,200 (62% of the step before)
order_completed — 1,488 (24% of the step before)

Overall conversion is 14.9% (1,488 ÷ 10,000) — but the story is the middle step. The 38% drop at onboarding dwarfs the others, so a day spent there returns the most. Segment that step by source and you might find the loss is almost all paid traffic: a targeting problem, not a UX one.

How Pug does funnels

Pug’s Funnels insight measures conversion across ordered steps, with drop-off and the average time between steps, filterable by any property. Because Pug ties events to a person, you can build the funnel over real user behavior rather than anonymous sessions. You can also sketch the math first with the free funnel conversion calculator.

Funnel analysis