Unveiling the Secrets of Customer Satisfaction 
and Loyalty in Online Retail: A Structural Equation Modeling Approach

Prior research has been conducted to investigate the impact of digital marketing on customer satisfaction. Many recent studies have shown the future of digital and social media marketing and their impact on businesses. However, scant research reveals the influence of digital marketing dimensions such as website features, information quality on websites and social media, participatory promotional activities to attract or retain customers, cognition behavior of the customers, and their purchase intent on customer satisfaction and loyalty. The investigation demonstrates how crucial website features, information quality, interactivity, participation, cognition, and purchase intent play in boosting customer satisfaction and loyalty. The reliability, validity, and model fit are all checked using principal component analysis, factor analysis, and regression analysis in SPSS, and structure equation modeling is formed in AMOS. The results revealed a positive relationship between these six dimensions and customer satisfaction and loyalty. The results provide practical insights to academics, digital marketing consultants, and online retailers. The study also emphasizes why this association is essential for optimizing benefits in the digital era. By bridging the gap between these variables and their effect on customer satisfaction and loyalty, the research contributed value to unveiling the secrets of customer satisfaction and loyalty in online retail.