Landing Pages

A/B Testing

A/B testing compares two versions of a page or element to see which one converts better on a defined goal.

Definition

A/B testing (split testing) sends portions of traffic to two variants—A (control) and B (treatment)—to identify which performs better. It is core to CRO because it replaces guesswork with data. Commonly tested elements include headlines, CTAs, form layouts, hero visuals, social proof, and offer framing. Proper tests require clean tracking, adequate sample size, and significance before declaring winners.

Why This Matters

A/B testing proves what actually works, avoiding costly assumptions. Continuous testing compounds small gains, improving ROI from existing traffic while refining messaging and UX.

Common Types

Headline Tests

Value vs. feature framing, clarity vs. cleverness.

CTA Tests

Copy, color, size, placement, single vs. multi-CTA.

Form Tests

Number of fields, single-step vs. multi-step, inline validation.

Hero/Proof Tests

Different hero visuals, proof placement, or layouts.

Offer/Guarantee Tests

Trial length, bonuses, risk reversals.

Real-World Examples

1CTA Copy

Changing “Submit” to “Get My Free Guide” increased opt-ins by 14%.

2Guarantee Variant

Adding a 30-day guarantee improved checkout completion by 11%.

3Form Step Test

Splitting a long form into two steps reduced abandonment by 17%.

4Proof Placement

Moving testimonials beside the CTA raised demo requests.

How to Use This in MagnetHub

Create multiple MagnetHub landing page variants quickly—test headlines, CTA copy, and hero layouts. Route traffic to variants and pick winners based on opt-in rate.

See MagnetHub in Action

Watch how MagnetHub helps you implement this concept effortlessly

Best Practices

  • Define one primary metric (e.g., opt-in rate) and run to significance
  • Ensure traffic quality is consistent across variants
  • Make meaningful changes to learn faster
  • Avoid stopping tests early on noise; predefine duration
  • QA tracking to prevent invalid data
  • Document results and apply learnings broadly

Frequently Asked Questions

Related Terms

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