A New Artificial Intelligence-Based Strategy for Digital Marketing Reinforcement

The success of any economy strategy is relying on the well understanding of the flow of data generated during transactions, consultations, and feedback on multiple levels, and using different tools and techniques to process and analyze this data and helps in decision making to either improve productivity and provide a customer’s service responses that fit their expectation or create a personalized profile to target a specific range of customers for specific products or services. In recent years Artificial Intelligence as an emergent technology has become a key driver in the success of many domains such as healthcare, security, industry and robotic, big data, and modern economy and digital marketing. Artificial Intelligence has proven its efficiency in data analysis and decision making. In this paper we present an overview of Artificial Intelligence and its applications in the modern economy and Digital marketing, based on that we propose a novel Artificial Intelligence-based strategy to improve success in digital marketing, we divide our strategy into multiple phases: Data acquisition, Data classification and processing, AI engine (presented on multiple levels: Detection level which is Anomaly detection in collected and treated data to sort and eliminate anomalous point in data that could lead to false decisions, Prediction level that relies on implementing techniques for prediction of customer behavior, pricing and Reporting level in which the engine generate graphs and report that helps in making a decision in the next phase) and the final phase making decision that includes a human factor since AI in our approach is only a tool based on multiple machine learning technique and not a replacement for the human intelligence.