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Social networks are technical platforms designed to facilitate the process of communication among people, to share information, and to following up on shared interests and activities. Electronic marketing is considered one of the most important features available in recent advanced social networks, as it has been a successfully and effectively alternative to traditional marketing. Social advertising can be known as the ads that are shown on social media platforms to reach the target audience, and are usually attractive and purposeful. This research provides a model for integrating business intelligence with social media networks to analyze the big data provided by SNS, which can help marketers to make appropriate decisions about their ads on these platforms. The system provides the necessary information to marketers and predicts the strategies of social advertising, through the analysis of data and behavior of users, to obtain information to help them build the appropriate advertising strategies, to achieve successful advertisements capable of spreading in the right time, to the appropriate category, and to form the appropriate, as well as to determine the best Social networks that are suitable for advertising. |
