Example Concept: Outliers in conversion funnel data can be identified by analyzing metrics such as conversion rates, average order value, and bounce rates. Use statistical methods like standard deviation or interquartile range to detect data points that deviate significantly from the norm. Once identified, investigate the causes, such as technical issues, unusual promotions, or data entry errors, and take corrective actions to ensure data integrity.