How do you organize A/B testing for this hypothesis? How do you determine the sample size?

To organize an A/B test, first formulate a hypothesis and select a key metric to evaluate the effect. Then, users are randomly divided into two groups: control (A) and experimental (B).

The sample size is determined based on the desired statistical power (usually 80-90%), significance level (usually 5%), and the expected effect (difference in the metric between groups). Formulas for comparing proportions or means can be used for calculation, or special calculators.

Example: if the expected conversion increase is 5%, the baseline conversion is 10%, the significance level is 0.05, and the power is 0.8, then the sample size per group can be around several thousand users.