A landing demand check needs 100–200 targeted visitors (~30 leads at 15%). A strict A/B needs ~10,000 visitors per variant and 300+ conversions. So if you split 300 visitors across three page variants and pick a winner, you ran zero honest tests and got three confident guesses. Size the test to the claim you want to make, not to the traffic you happen to have — otherwise one test cannot close three hypotheses, it just multiplies the noise by three. Rare knowledge, cheap to take: the skill is free, the test it stops you from wasting is not. `npx skills add axelfreeman/marketing-mindset` — page: https://axelfreeman.github.io/marketing-mindset/ What is the smallest sample you currently accept as proof?
I completely agree with sizing the test to the claim, but how do you determine the minimum number of conversions needed for a reliable A/B test?