A/B Testing Landing Pages

What A/B testing really is

A/B testing compares two versions of a page under similar traffic conditions. Version A is the baseline, version B includes one meaningful change: headline, CTA, form structure, trust blocks, or section order. The goal is simple: determine which version produces a better conversion outcome with reliable evidence.

Best places to start

• Headline and value proposition: often the biggest conversion lever.
• CTA system: wording, placement, contrast, and repetition.
• Lead form: number of fields, labels, helper text, and friction points.
• Above-the-fold area: clarity, trust, and next action.
• Mobile UX: readability, load speed, and thumb-friendly interactions.

A simple test workflow

Define a hypothesis, choose one primary KPI, estimate required traffic/time, run the experiment without major parallel changes, and evaluate results only after enough data accumulates. Document every test outcome in a central log so future decisions are evidence-based, not opinion-driven.

Common mistakes

• Stopping tests too early because of short-term fluctuations.
• Changing multiple variables at once, making results unclear.
• Ignoring segments (device, geo, source, audience intent).
• Optimizing only for top-line conversion while lead quality drops.
• Not preserving test history and repeating failed ideas.

Can you really get +50%?

Yes, but usually when the original page has obvious weaknesses. For mature funnels, gains are more often incremental. Consistent 5-15% wins from disciplined experiments can compound into major growth over a quarter or two, with much lower volatility than random redesigns.