How We Found Where 98% of Signups Vanished — Using Our Own Analytics

When conversions are low, the instinct is to read a few user recordings and guess. That instinct lies to you — because you only ever watch the people who survived. Looking at individual journeys, ours seemed to stall at the 'add your website' onboarding step. Motivated users kept returning, reaching the dashboard, then stopping there. Obvious conclusion: fix onboarding. Then we pulled the aggregate funnel — every visitor, not the survivors — and the real story appeared: - 12,661 people reached the landing page. - 984 clicked through to the register page (a 92% drop). - ~15 actually completed signup (a 98% drop at the form). - 13 reached the onboarding step everyone was worried about. Onboarding was a rounding error. The real leaks were the landing page and the register form, long before onboarding. The individual journeys pointed at onboarding only because those were the rare users who *survived* everything else — classic survivorship bias. How to find where your visitors really drop off: 1. Build an aggregate funnel (landing → key step → conversion) over all visitors, not a handful of recordings. 2. Read it top to bottom. The biggest percentage drop is your priority, even if it's boring (a landing bounce, a form). 3. Only then watch replays — of the people who dropped at that specific step, to learn why. 4. In EYE, use Funnels, Form Analytics, and session replay together: the funnel says where, replays say why. Data beats intuition, but only aggregate data. Fix the biggest drop first, and ignore the survivors' anecdotes.