Identifying skewed analytics involves closely monitoring and analyzing your email marketing data. Here are some steps to help you:
1. Benchmarking: Compare your current metrics against historical data and industry benchmarks to identify anomalies. 2. Segmentation: Analyze data by different segments such as location, device, and email client to pinpoint specific areas of skew. 3. Consistency: Look for inconsistent patterns in your data over time. Sudden spikes or drops in metrics can indicate skewed analytics. 4. A/B Testing: Use A/B testing to compare results from different versions of your email. Consistent discrepancies may highlight skewed data. 5. Engagement Metrics: Focus on multiple engagement metrics rather than relying on a single metric to get a more comprehensive view.