Studying the influence of social media marketing on smart electric motorcycle purchase intention of customers in Ho Chi Minh City. The book chapter uses a quantitative method, with a survey sample of 228 samples and 6 independent variables. Based on Bayesian Algorithm results, the study has identified 5 factors that show the effect of social media marketing on smart electric motorcycle purchase intention of customers in Ho Chi Minh City, including (1) Electronic-word-of-mouth, (2) Social interaction, (3) Informative value, (4) Informative reliability, (5) Advertising entertainment. In addition, the study also examines the influence of smart electric motorcycle purchase intention in Ho Chi Minh City through 4 demographic variables: gender, age, occupation, and income. From there, the management implications of the customer's purchase intention can be created, which can make better marketing campaigns and the most appropriate social media marketing strategy to contribute to improving the smart electric motorcycle business. These businesses contribute to high revenue and the best profits. Previous investigations demonstrated that by using linear regression. The best option is used in this investigation by the Application of the Bayesian Algorithm (BIC) for impacting social media marketing on smart electric motorcycle purchase intention.