Abstract
In this study, we analyzed the relationship between purchasing behavior and discount rates using a home scan data provided by a research company. We conducted pLSA to cluster the monitors and discount rates, correspondence analysis to reveals the relationship between product and business categories, and association analysis to reveal relationships among categories. The results of the clustering allowed us to classify the data into 10 classes. The results showed that convenience store frequenters did not respond well to the discount policy, while supermarket frequenters responded differently to the discount policy. The impact of discount policies on frozen foods was significant and discounts on beverages will encourage these consumers to buy more in supermarkets.
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Acknowledgments
We were able to use valuable data by providing data free of charge through the educational support activities by INTAGE Inc.. This work was supported by Chuo University Grant for Special Research (2021–2022).
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Mimura, T., Namatame, T. (2023). Analysis of Purchasing Behavior Based on Discount Rates Using Home Scan Data. In: Coman, A., Vasilache, S. (eds) Social Computing and Social Media. HCII 2023. Lecture Notes in Computer Science, vol 14025. Springer, Cham. https://doi.org/10.1007/978-3-031-35915-6_39
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DOI: https://doi.org/10.1007/978-3-031-35915-6_39
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