Consumer Behavior Pattern Mining and Analysis Driven by Big Data

Abstract

With the rapid development of big data technology, the pet supplies industry has begun to leverage big data analytics to understand
consumer behavior patterns, thereby enhancing market competitiveness. This study first summarizes the characteristics of consumer behavior
in the pet supplies industry, then explores the obstacles encountered in the analysis of consumer behavior patterns driven by big data. Finally,
it proposes corresponding strategies, including the establishment of a multi-channel data collection system and the advancement of data quality improvement measures, enhancements in data privacy protection and compliance management efficiency, the use of artificial intelligence
and machine learning technologies to optimize data analysis methods, the implementation of precise marketing and customized service initiatives based on niche markets, and in-depth exploration of changes in consumer psychological attitudes and emotions, integrating behavioral
analysis models.