An insufficient sample size can lead to several issues:
Inaccurate Results: Small samples may not accurately represent your entire audience, leading to skewed data. Low Confidence Levels: A small sample size lowers the confidence level of your results, making it difficult to make informed decisions. Increased Error Margins: With a smaller sample, the margin of error increases, making your findings less reliable.