Most portfolios tell you they understand conversion. This page lets you prove it on me. Change my headline, swap my CTA color, rewrite my button copy — and watch the projected impact update live with citations for every claim.
Pick a variant. Watch the impact. Read why.
Real A/B testing is messier than this UI suggests — but the principles you just felt are how I actually run tests for clients.
You need at least 100 conversions per variant and 95% confidence before declaring a winner. Anything less is gut-feeling dressed up in math.
Change the headline and the CTA color together, and you'll never know which one moved the needle. Real tests change one thing.
If your "winner" only beat the control during a flash sale, you tested the offer — not the copy. Always check sample composition.
Buyer behavior on Monday differs from Saturday. Tests should run at least one full week — ideally two — to catch cyclical patterns.
A 2% lift on a page that gets 100 visitors/month is noise. Prioritize tests on pages with traffic and revenue weight.
The variant that wins on the homepage may lose on a landing page with different intent. Test in context, deploy in context.
I build conversion-instrumented growth systems — A/B testing infrastructure, CRO experiments, and the analytics layer to back it all up.