A / B testing

A/B testing allows you to test the various options of emails and emails.

The Theme
Example: there is a topic A and a topic B. They sent 30% of letters with different subjects of the letter, they looked at which topic is better opened - the rest of the base was sent out of it. This is a test A/B.

The Letter
They scratched several letters with a different structure of proposals, text, subtitles. There is a letter A, a letter B, C, D, E. They sent a piece of base - tracked the activity by letters (the number of discoveries / clicks and other metrics). Send the base continued with the letter that works best. Conditionally this is the test A / B / C / D / E

For the purity of the experiment it is desirable to have the necessary volume of the base, the base should be homogeneous by activity. The output figures may be in the statistical error zone (3-10%), although sometimes they go very hard (30-100%)

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