Analysis on Repeat-Buying Patterns
博士 === 淡江大學 === 資訊工程學系博士班 === 98 === Consumer market has several characteristics in common such as repeat-buying over the relevant time frame, a large number of customers, and a wealth of information detailing past customer purchases. Analyzing the characterizations of repeat-buying is necessary to...
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| Format: | Others |
| Language: | en_US |
| Published: |
2010
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| Online Access: | http://ndltd.ncl.edu.tw/handle/13279366528858093280 |
| Summary: | 博士 === 淡江大學 === 資訊工程學系博士班 === 98 === Consumer market has several characteristics in common such as repeat-buying over the relevant time frame, a large number of customers, and a wealth of information detailing past customer purchases. Analyzing the characterizations of repeat-buying is necessary to understand and adapt to dynamics of customer behavior for company to survive in a continuously changing environment. The aim of this research is to develop a methodology to detect the existence of repeat-buying behavior and discover the potential period of the repeat-buying behavior. A mathematical model to capture the characteristics of repeat-buying behavior is devised. The algorithms based on our previous works then proposed to provide a scheme to discover periodicity and trends of the purchase. Two fundamental repeat-buying types has been identified and analyzed. Any repeat-buying scenarios can be expressed as the combination of the two fundamental types. The proposed mathematical model coupled with our works on repeat-buying modeling form a process to uncover the characteristics of repeat-buying phenomenon. Coupled with industry domain knowledge and marketers’ expertise, the constructed model helps to predict likely buying behavior, then the corresponding actions can be taken to maximize enterprise''s revenue.
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