The use of statistical techniques and algorithms based on patterns of past behavior to predict future buying behavior is called

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Predictive modeling is the process of using statistical algorithms and machine learning techniques to analyze current and historical data to make predictions about future events or behaviors. It is commonly used in marketing and advertising to forecast consumer behavior and tailor products and services to specific target audiences. Machine learning (choice A) is a type of artificial intelligence that enables computers to learn and improve from experience without being explicitly programmed, and is often used in predictive modeling. Demand analysis (choice C) is a broader field that includes various techniques used to study market demand, including forecasting, analytical modeling, and market research. Competitive intelligence (choice D) involves gathering information about rival companies and their strategies, products, and services to gain a competitive advantage. Ethnographic research (choice E) is a qualitative research method that involves observing and interacting with participants in their natural settings to gain insights into their behavior and culture.

The Use of Statistical Techniques and Algorithms Based on Patterns