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Analytics & Validation

A/B Testing Best Practices

5 min readUpdated Mar 11, 2026

Overview


A/B testing lets you compare two or more versions of your landing page to find what converts best. GetLaunchDay's built-in A/B testing makes this effortless.


Setting up an A/B test


  • Open your project and go to **A/B Tests → New Test**
  • Select what to test:
  • - **Headline** — Enter 2-5 headline variations

    - **Full page** — Create 2-3 page variants

    - **CTA** — Test different button text or color

    - **Pricing** — Test different price points

  • Set **traffic split** (default: 50/50)
  • Click **Start Test**

  • GetLaunchDay automatically splits traffic and tracks conversions per variant.


    Reading results


    |--------|--------------|


    When to stop a test


  • **Minimum 200 visitors per variant** — Don't pick a winner too early
  • **95% confidence** — The green badge means the result is statistically valid
  • **At least 7 days** — Avoid day-of-week bias

  • Common tests to run


    Headlines

    Test benefit-first vs. feature-first vs. question-based headlines:

  • "Save 3 hours every week on meal planning" (benefit)
  • "AI-Powered Meal Planner for Busy Families" (feature)
  • "Tired of deciding what to cook every night?" (question)

  • CTAs

  • "Join the waitlist" vs. "Get early access" vs. "Reserve my spot"
  • Orange button vs. blue button

  • Social proof

  • With testimonials vs. without
  • "10,000 founders trust us" vs. "Featured in TechCrunch"

  • Pricing

  • $29/mo vs. $39/mo (test willingness-to-pay using fake-door)

  • Mistakes to avoid


  • **Testing too many things at once** — Change one variable per test
  • **Stopping too early** — Wait for statistical significance
  • **Ignoring segmentation** — Mobile and desktop users may behave differently
  • **Not documenting results** — Keep a testing log for institutional knowledge
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