Artificial Consumer Shopping Behavior Data for Marketing and Analytics

This dataset is a synthetic consumer behavior dataset generated for research, educational, and analytical purposes. It contains 10,000 unique customer records, simulating real-world shopping behavior while ensuring no personally identifiable information (PII) is included. The dataset captures demographic, regional, and behavioral attributes of consumers, including age, gender, income level, purchase category, average spending per transaction, payment mode, loyalty membership, and satisfaction scores. It is designed to support projects in: Consumer behavior analysis Marketing research and segmentation Customer satisfaction studies Predictive modeling and machine learning experiments Teaching data science and business analytics Since this dataset is artificially generated, it does not represent real individuals, but it reflects realistic patterns useful for testing hypotheses, building models, and teaching.