Choose the outcome
Define the primary conversion and any guardrail metrics before the test starts. Do not switch success criteria after seeing results.
Write a hypothesis
State what you are changing, why it should matter, and which visitor behavior you expect to improve. This keeps the experiment connected to a real problem.
Change enough to learn
Testing one tiny cosmetic detail can be low-value. Prioritize meaningful differences in offer framing, proof, form friction, page hierarchy, or CTA treatment when those are the areas of uncertainty.
Run long enough for a reliable decision
Avoid declaring a winner because one variant leads early. Consider traffic volume, normal weekday variation, campaign changes, and the statistical method used by your testing platform.
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Interpret the result
A losing test can still teach you something. Record the hypothesis, result, context, and next question so experimentation compounds instead of becoming a series of isolated tweaks.
Tooling
Leadpages currently includes A/B testing in its core paid landing-page plans and adds more automated optimization capability higher in the plan structure.