Video marketing is essential for engaging audiences and promoting products on digital platforms, but however traditional approaches struggle with personalized content delivery which cannot use emotional states like by analyzing data from YouTube or other platforms automatically, target audience effectively with social media analysis leads using this approach in video can only take product expansion and revenue ahead. Through predictive analytics, content personalization, automated optimization, and much more AI deliver advanced solutions. The purpose of this study was to explore how artificial intelligence can improve video marketing tactics in order to increase customer engagement, broaden market expansion and increase product growth. Using quantitative research design, data were collected from 400 marketing practitioners by means of stratified random sampling in order to ensure diversity in terms of gender, age, education and marketing experience. Crucial variables comprised AI content personalization, budgeting for AI, engagement metrics, product expansion achievement and customer satisfaction. Descriptive statistics, Pearson correlation, one-sample t tests, posterior distribution analysis and multiple regression models were used to analyse the data. Results showed a moderate positive correlation between AI content personalization and online views (r = 0.506, p < 0.001), signifying that personalized content boosts engagement. AI budget significantly contributed to increase in sales correlation, r = 0.674; p < 0.001. The results of the regression analysis indicated that the AI targeting accuracy was the strongest predictor of product expansion success (β = 0.523, p < 0.001), whereas customer satisfaction was significantly increased by AI targeting accuracy (β = 0.364, p < 0.001) and video optimization (β = 0.255, p < 0.001). Other variables like script generation, visual enhancement and platform choice did not prove significant. Posterior analysis confirmed moderate positive associations between each of the 3 outcome variables: AI posting frequency, campaign numbers and click through rates. The results reveal how video marketing changes from a functional tool to a strategic asset with the incorporation of AI that allows firms to provide individualized, technically refined content, increase engagement and sales drive product development and sustainable competitive advantage.