There are several reasons why marketers might ignore statistical significance:
Time Constraints: Marketers often work under tight deadlines and may prioritize quick results over statistical rigor. Lack of Understanding: Some marketers may not fully understand what statistical significance is or how to accurately interpret the results. Resource Limitations: Smaller teams might lack the resources to conduct proper data analysis, leading them to make decisions based on incomplete data. Overconfidence in Small Wins: Early positive results might tempt marketers to implement changes without waiting for statistically significant results.