Interpreting the data requires a combination of quantitative analysis and qualitative insights:
Compare your metrics against industry benchmarks to see how your campaigns stack up. Look at trends over time rather than isolated data points. This helps in identifying patterns and making informed decisions. Segment your data to understand different audience behaviors. For example, you might find that new subscribers engage differently compared to long-term subscribers. Use A/B testing to experiment with different elements of your email (e.g., subject lines, call-to-action buttons) and analyze which versions perform better.