AI in Email Marketing: Assessing the Impact of Automation on Open Rates and Consumer

Introduction: The research demonstrates the transforming role of AI in email marketing. This points towards the need for advanced strategies which will serve to improve open rates and consumer engagement. The objective of the research is to study the impact of AI on automated emails and consumer familiarity. Literature Review: The key messages emerge on how AI improves engagement through making things timely and personalized, while on the other side, ethical issues reduce consumers who are in a state of mistrust over data privacy or integrity. There is a knowledge gap with regard to AI's long-term impact on trust and its aftermath of ethics. Methodology: This can be a quantitative study through questionnaires; it also includes statistical testing by SPSS. The sample size is 100 for generalization through simple random sampling. Key findings and analyses: While AI increases the rate of engagement and helps people develop trust in a certain brand, it has raised a number of problems in directing privacy concerns. Regression and Chi-square tests confirm significant impacts of personalization on engagement. Conclusion and Limitations: This chapter finally concluded that AI improves the effectiveness of email marketing while ensuring considerate information handling for long-lasting customer relationships. The limitations can be determined by illustrating the sample size which is small with 100 only.