Conversion Funnel Drop-off

See exactly where users drop out of your funnel. Enter stage counts and instantly see the biggest leak.

Funnel Visualisation

Stage Analysis

Findings

Why Funnel Analysis Matters

Most businesses obsess over top-of-funnel (traffic) when the biggest wins are usually mid-funnel drop-offs. Improving one stage from 10% to 15% can double overall revenue with zero additional ad spend.

Key Metrics

  • Stage conversion rate = Next stage ÷ Current stage × 100
  • Cumulative conversion = Final ÷ First × 100
  • Drop-off rate = (1 − stage conversion) × 100
  • Drop-off vs benchmark — each industry has standard rates

Benchmarks (E-commerce)

Stage transitionTypical conversion
Visit → Product view30–50%
Product → Cart8–15%
Cart → Checkout40–60%
Checkout → Purchase50–75%

How to Diagnose a Leak

  1. Compare each stage to benchmark. The stage furthest below is your leak.
  2. Watch session recordings for that stage. Talk to 5 users who dropped.
  3. Form a hypothesis (form friction, trust, price shock, confusion).
  4. Fix it. Measure over 2+ weeks.
  5. Repeat on the next stage.

What NOT to Do

Don't try to fix every stage at once. Focus on the worst-performing stage, fix it, remeasure, then move to the next. Sequential > parallel for attribution clarity.

Funnel FAQ

What's a good overall funnel conversion rate?

Varies wildly. E-commerce: 1–3%. SaaS free-to-paid: 2–5%. B2B lead-gen: 0.5–2%. Compare against your own baseline before optimising.

Where do most people drop off?

For e-commerce, the biggest drop is usually product → cart (85–90% leave). For SaaS, it's signup → activation (60–80% never complete onboarding).

Should I fix the biggest drop or the lowest-converting stage?

Same thing usually. The stage with the lowest conversion rate IS the biggest drop. Fix that first.

How many stages should I track?

4–6. Fewer loses insight. More becomes impossible to diagnose (and users skim).