In the digital transformation era, customer engagement in online shopping has become a key pillar of success for e-commerce businesses.The researcher analyzed the results and findings of previous researchers using a systematic review and meta-synthesis approach and identified the effective factors by performing the 7 steps of the Sandelowski and Barroso method. Out of 198 articles, 35 articles were selected based on the CASP method. The validity of the analysis was also confirmed by the value of the Holstey coefficient, Scott's p-coefficient, Cohen's kappa index, and Krappendorff's alpha. In this context, in order to measure reliability and quality control, the transcript method was used, and its value was identified at the excellent level of agreement for the identified indicators. The results of analyzing the collected data in MAXQDA software resulted in the identification of model codes. The data consisted of findings from 35 peer-reviewed studies published between 2010 and 2023, selected through purposeful sampling. The findings reveal that customer engagement comprises three main dimensions: cognitive, emotional, and behavioral, each containing key components such as mental focus, enthusiasm, active participation, and enjoyment. Moreover, effective engagement is associated with increased loyalty, repurchase intention, and brand advocacy. The results of this study can serve as a foundation for designing digital marketing strategies, improving user experience, and developing interactive models in online sales platforms. Additionally, the proposed framework offers a basis for further empirical research and advanced modeling in customer engagement.