The primary reason for using a significant sample size is to achieve statistical significance. Statistical significance indicates that the results observed in your sample are likely to be true for the entire population. This is particularly important when you are conducting A/B testing or segmenting your audience. A larger sample size enhances the reliability of the data, allowing you to make more informed decisions.