# AB testing for email deliveries and statistical significance

## Description description

### Environment

- Campaign Classic
- Campaign
- Campaign Standard

### Issues/Symptoms

Recommendations for AB testing for email deliveries and statistical significance.

## Resolution resolution

In order to be statistically significant an A/B test should rely on big enough A, B, and remainder segments. It is generally considered that A and B segments compose of 1500 recipients each (so 3000 as a whole). The recommendation would be that:

- If your initial target is below 30.000 recipients, then A/B testing is more or less irrelevant.
- If your target is anywhere between 30.000 and 50.000 recipients, then you should shoot for A and B segments accounting each for a minimum 10% of your initial target.
- If your target is above 50.000 then you can safely shoot for A and B segments accounting each for at least 5% of your initial target.

recommendation-more-help

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