Interpreting P values in email marketing involves looking at whether the value is below a predefined significance level (usually 0.05). A low P value (e.g., <0.05) suggests that the changes made in the email campaign (like a new design or content) have a statistically significant impact. Conversely, a high P value indicates that the results are likely due to random chance and that the changes might not be effective.