| Summary: | 碩士 === 國立政治大學 === 會計研究所 === 91 === With the development of related management technology, it’s easier for business to measure the customer profitability now. In addition, there’re more and more researchers indicate that in most company the profitability are concentrated on a few customers, which is according to the 80/20 rule. Accordingly, this research combines internal and external information from one bank in Taiwan to analyze the factors that affect the loan customer profitability in that bank. The purpose of this research is try to help business allocate marketing resources effectively, and try to provide for business as a reference to implement CRM.
In the respect of variables, at first this research tries to analyze the affection of customer trading style, customer attributes, sales person attributes to customer profitability, after that this research will try to analyze whether the affection factors are the same or not when customers are in different industry and have different transaction period.
Finally, this research has found that customer cross-selling number, year, profitability ability, growth rate, innovation degree and sales person have affection on customer profitability. In short-term period, only customer cross-selling number will affect the customer profitability, and in long-term period, in addition to customer cross-selling number, other variables like customer year, profitability ability, growth rate, innovation degree and sales person will also affect customer profitability. It indicates that in short-term period, the cross-selling strategy adopt by the research company is the best most effective way to increase customer profitability. But in long-term, selecting the right customer and training adequate sales employers are also very important factors to increase customer profitability. When taking industry into consideration, this research has found that the variables mentioned above also have affection on the customer profitability in high technology industry, but in non-high technology industry, the statistic model is not significant and could be discuss by further researches.
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