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How can I identify and address outliers in my eCommerce conversion funnel data?
Asked on Jan 23, 2026
Answer
Identifying and addressing outliers in your eCommerce conversion funnel data is crucial for accurate analysis and decision-making. Outliers can skew your data and lead to incorrect conclusions about your funnel's performance.
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.
Additional Comment:
- Use visualization tools in Looker Studio or Google Analytics to spot trends and anomalies.
- Regularly review your data collection methods to prevent future outliers.
- Consider segmenting your data to better understand the context of outliers.
- Document any changes made to the funnel to track improvements over time.
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