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Paper Abstract and Keywords
Presentation 2021-02-19 14:35
[Special Talk] Store Channel Customer Segmentation using transaction data
Yuji Sakagawa (Hokkaido Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) We attempted to identify market segments based on real and online stores in a specific area by latent class analysis. As a result, the possibility of latent classes based on customer shopping behaviour patterns was clarified. We also found that even customers who use the same store belonged to different segments due to differences in their store shopping behaviour. Besides, we found that in multi-channel retailers that operate both real and online stores, their customers are not necessarily multi-channel shopper. The above analysis results suggested that retailers can identify market segments based on store visiting behaviour and expect to increase their marketing effectiveness by planning and executing customized marketing for each market segment.
Keyword (in Japanese) (See Japanese page) 
(in English) Customer segmentation / Latent class analysis / Shopping behavior / Multichannel / Omnichannel / / /  
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Conference Information
Committee IE ITS ITE-MMS ITE-ME ITE-AIT  
Conference Date 2021-02-18 - 2021-02-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Image Processing, etc. 
Paper Information
Registration To ITE-ME 
Conference Code 2021-02-IE-ITS-MMS-ME-AIT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Store Channel Customer Segmentation using transaction data 
Sub Title (in English)  
Keyword(1) Customer segmentation  
Keyword(2) Latent class analysis  
Keyword(3) Shopping behavior  
Keyword(4) Multichannel  
Keyword(5) Omnichannel  
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1st Author's Name Yuji Sakagawa  
1st Author's Affiliation Hokkaido University (Hokkaido Univ.)
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Speaker Author-1 
Date Time 2021-02-19 14:35:00 
Presentation Time 15 minutes 
Registration for ITE-ME 
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Volume (vol) vol.120 
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