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UPCOMING EVENTS:UX, Product & Market Research Afterwork23. Apr.@Packhaus WienDetailsInsights & Research Breakfast16. Mai@Packhaus WienDetailsVibecoding & Agentic Coding for App Development22. Mai@Packhaus WienDetails
UPCOMING EVENTS:UX, Product & Market Research Afterwork23. Apr.@Packhaus WienDetailsInsights & Research Breakfast16. Mai@Packhaus WienDetailsVibecoding & Agentic Coding for App Development22. Mai@Packhaus WienDetails

Funnel Analysis

Tracking how users move through a sequence of steps and where they drop off. Shows you exactly where your process loses people—and how many.

Definition: Tracking how users move through a sequence of steps and where they drop off. Shows you exactly where your process loses people—and how many.

Funnel analysis maps a multi-step process—signup, onboarding, checkout, any sequential flow—and measures the drop-off at each stage. If 1,000 users start your checkout flow and 200 complete it, the funnel shows you exactly where the other 800 left.

How to Read a Funnel

  • Step-to-step conversion: The percentage of users who advance from one step to the next. A sharp drop between two steps signals a problem at that specific point
  • Overall conversion: The percentage who complete the entire flow. Useful for benchmarking but does not tell you where to focus
  • Absolute numbers: Percentages can mislead. A 50% drop-off from step 3 to step 4 matters more when step 3 has 10,000 users than when it has 50

What Funnels Cannot Tell You

Funnels show you where users drop off but not why. A 60% drop-off on the payment page could mean pricing is too high, the form is confusing, users are comparison shopping, or a technical error blocks completion. You need qualitative research to diagnose the cause.

Practical Application

  • Identify the biggest leak: Focus on the step with the largest absolute drop-off—that is where fixing the problem moves the needle most
  • Segment the funnel: Compare funnels for different user segments, traffic sources, or devices. Often the overall funnel hides a specific cohort that is struggling
  • Track over time: Monitor funnels after changes to verify improvements actually reduced drop-off
Funnel Analysis - Definition | UX Research Glossary | Busch Labs