المجلة الدولية للعلوم والتقنية

Big data has become a major resource for companies seeking competitive advantage. Using artificial intelligence (AI) techniques to analyze marketing data is an innovative approach to improving marketing strategies and increasing effectiveness. This research focuses on reviewing how artificial intelligence can be applied to analyze marketing data and extract valuable insights to improve customer experience and enhance financial performance[1]. The process begins with collecting data from various sources such as social media, websites, email, sales records, and mobile applications. The data is then cleaned and formatted to ensure its quality and readiness for analysis. Using machine learning techniques, and one of the most important algorithms used in analyzing marketing data via social media sites is the Sentiment Analysis algorithm: It is used to analyze reactions and comments on social media to determine positive or negative feelings towards a product or brand. Also, the Apriori algorithm: It is used to discover patterns and rules in customers' purchasing behavior, such as detecting items that are frequently purchased together. In this research, the algorithms used to analyze and predict marketing data provided by artificial intelligence applications will be discussed.......................... Key words:............... Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP)