Funnel
A series of steps or pages that visitors must complete to reach a goal, visualized to show where visitors drop off at each stage of the conversion process.
A funnel in analytics represents a multi-step process visitors go through to complete a goal. The funnel visualization shows how many visitors enter at each step and how many proceed to the next, revealing where people drop off.
Common funnels include checkout processes (cart → shipping → payment → confirmation), signup flows (landing page → form → verification → welcome), and content journeys (blog → product page → demo request).
Funnel analysis is powerful because it identifies specific friction points. If 1000 visitors start checkout but only 100 complete it, the funnel shows exactly where the 900 dropped off: was it shipping costs, payment options, or account creation?
Understanding funnel performance helps prioritize optimization efforts. Improving a step where 50% drop off has more impact than optimizing a step where only 10% leave. This data-driven approach focuses resources on the highest-impact improvements.
Frequently asked questions
What is a good funnel conversion rate?
Funnel conversion rates vary by complexity and industry. Simple 2-step funnels might see 30-50% completion, while complex checkout flows often see 2-5%. Focus on improving your specific funnel rather than matching benchmarks.
How do I identify funnel drop-off points?
Funnel visualization shows the percentage of visitors proceeding from each step to the next. Steps with the largest percentage drops are your biggest opportunities. Analyze those pages for friction, confusion, or missing information.
How many steps should a funnel have?
Fewer steps generally mean higher completion rates. Each additional step loses some visitors. However, necessary steps (like payment) can't be removed. Focus on eliminating unnecessary steps and optimizing required ones.