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What is A/B Testing?

By Mailneo Team|

A/B testing is the practice of sending two different versions of an email to small, randomized portions of your list to see which one performs better. The winning version then goes to the remaining subscribers.

Why It Matters

Guessing what your subscribers want is expensive. A/B testing replaces gut feelings with real data, and even a small lift in open rate compounds over thousands of sends. Marketers who test regularly see 15-25% higher engagement within a few months because they're constantly tuning subject lines, send times, and layouts.

How It Works

You pick one variable to test — subject line, sender name, preview text, CTA button color, or send time. Your email platform splits a random sample (typically 10-20% of the list per variant) and delivers each version. After a set window (usually 2-4 hours), the platform checks which variant won on your chosen metric — opens, clicks, or conversions — and sends that version to everyone else.

The key rule: test only one variable at a time. If you change the subject line and the CTA, you won't know which change drove the result.

Quick Tips

  • Start with subject lines — they have the biggest impact on open rates and they're the easiest to test.
  • Wait at least 2 hours before picking a winner; shorter windows produce unreliable results.
  • You need roughly 1,000+ recipients per variant for statistically meaningful results. Smaller lists can still test, but treat the data as directional.
  • Log your test results somewhere. Patterns emerge after 8-10 tests that you'd never spot from a single send.

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