Pre-Lander Opt-In Form A/B Test: 52% Lift

Shorter questions, quick answer choices, and conversational wording replaced a longer, problem-focused form; the changes were tested as one package.

A small grey form crowded with three long statements and long answer lines; an arrow leads to a larger column of short chat bubbles, each followed by rounded quick-answer chips, ending in a green opt-in button beside the label Opt-in 21.12% to 32.05%.

Among visitors entering a webinar funnel, our shorter, conversational pre-lander led on later applications, with a historical 99.07% win probability. Over 11 days, initial opt-ins rose from 21.12% to 32.05%, a published 51.77% relative lift. Length, tone and answer effort changed together, so test the complete invitation first and keep later applications as the decision metric. Unlike a qualification form, this form helped people enter the webinar.

What we changed before the webinar

Visitors came from an ad to the pre-lander, watched the webinar, then completed an application to request a consultation. The original form asked three long, serious, problem-focused questions. It was thoughtful, but heavy: like being handed a detailed questionnaire before you have even sat down.

DimensionControlTreatment
Reading effortLong questions and answersShort questions and quick answer choices
ToneSerious and problem-focusedConversational, emotionally reflective and low pressure
PositionBefore the webinarBefore the same webinar

We wanted the answers to be easy to recognize, so completing the form felt like a short conversation. Length, tone, answer effort and emotional framing changed together; a follow-up would need to vary them separately to identify which mattered.

Applications first, opt-ins second

We chose application submission after the webinar as the primary metric, and pre-lander opt-in completion as the secondary metric. Making the first step easier was useful only if visitors continued towards the consultation.

MetricControlTreatmentHistorical result
Primary: later application submission—2.31%99.07% win probability
Secondary: opt-in completion21.12%32.05%+10.93 percentage points; +51.77% relative lift

Without the application control rate and arm counts, we cannot quantify the downstream lift or estimate how many extra applications a similar form would produce.

What does this result justify?

Test a lighter first interaction while keeping the later application as the decision metric.

Test the invitation and follow the visitor

Write questions people can answer quickly and that connect their situation to the webinar’s subject. Keep the webinar, offer and later application stable while you test the pre-lander. If tone is your question, hold question length and answer format constant.

The forms measurement checklist covers assignment and CRM outcomes. For the next stage, our webinar timing tests compare how visitors get from registration to watching, and our webinar funnel guide connects each step to the cost of a sale.

Run the follow-up through the funnel

Choose the primary outcome before launch, then track opt-ins, webinar joins and applications for the same assigned visitors over the same follow-up window. Our PostHog experiment guide walks through the setup; use the system audit to check assignment and event delivery.

About the author

Amin Heshmati

Amin Heshmati

Amin Heshmati is an author at 99Ways focused on PostHog, conversion optimization, experimentation, attribution, and analytics implementation. He writes about building reliable measurement systems and using data to improve digital performance.

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