Research Article
Research on Consumer Behaviour Analysis and Marketing Strategy Based on Big Data
@INPROCEEDINGS{10.4108/eai.27-10-2023.2342000, author={Ruoxi Zhou and Yanqi Hou}, title={Research on Consumer Behaviour Analysis and Marketing Strategy Based on Big Data}, proceedings={Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27--29, 2023, Tianjin, China}, publisher={EAI}, proceedings_a={ICEMBDA}, year={2024}, month={1}, keywords={big data; consumer behavioural analysis; personalised marketing}, doi={10.4108/eai.27-10-2023.2342000} }- Ruoxi Zhou
Yanqi Hou
Year: 2024
Research on Consumer Behaviour Analysis and Marketing Strategy Based on Big Data
ICEMBDA
EAI
DOI: 10.4108/eai.27-10-2023.2342000
Abstract
The aim of this study is to explore the key influences on consumer behaviour analysis and marketing strategies based on big data. By analysing large-scale consumer data, this study demonstrates how big data technologies can play a key role in the modern marketplace. A variety of data collection and analysis methods, including machine learning and data mining, are used to gain insights into consumer behaviour patterns. Key findings include that the application of big data is critical to the success of personalised marketing. Big data analytics provide insights into consumer preferences, enabling organisations to better meet customer needs, improve customer satisfaction, and increase sales and market share. In addition, this study highlights the critical impact of big data on market competition and strategy development. The conclusion highlights the potential value of big data in consumer behaviour analysis and marketing strategy, as well as the need for continuous learning and adaptation to new technologies. These findings have important practical implications for businesses and marketing practitioners.
