Improving interpretability involves several strategies:
A/B Testing: This involves sending two versions of an email to a small segment of the audience to see which one performs better before sending the winning version to the entire list. Segmentation: Dividing the email list into smaller segments based on demographics, behavior, or preferences can help in sending more targeted and relevant emails. Personalization: Using the recipient's name or tailoring content based on their past behavior can increase engagement and improve interpretability. Analytics Tools: Utilizing advanced analytics tools can provide deeper insights into email performance, helping marketers understand what works and what doesn't.