近年，網路商店如雨後春筍般興起，業者想在網路零售市場佔有一席之地並非易事，此種情況持續惡化是由於業者採用低價競爭策略所致，也使得網路商店之間的差異化程度消失殆盡。「體驗經濟」概念，根據顧客的慾望來營造體驗情境，提供業者一個可作為差異化基礎的思考方向。網路提供了多元的方式營造獨特的購物情境，當消費者沉浸於選購產品的樂趣中且內心需求被充分填滿時，將可提升消費者實際購買產品的可能性。 　　由於網際網路和電腦的普及，女性在資訊科技的使用上和以往相較之下已不致於造成太大困難，調查資料亦顯示女性網路購物群族在近幾年有漸增趨勢；除此，家庭中大部分品項的購物決策落在女性手中。基於上述原因，網路商店若想擴大收益，應重視女性市場的發展潛力。本研究關切的課題為網路商店提供何種體驗才能有效地留住女性顧客。 　　本研究以Schmitt之策略體驗模組作為體驗行銷架構，以產品特性為干擾變數，探討體驗行銷模組和顧客保留強度之間的關係。本研究採用網路問卷調查法蒐集樣本資料，並利用階層多元迴歸分析法來驗證整體架構。研究結果顯示，感官體驗、思考體驗、行動體驗和關聯體驗對顧客保留強度具有正向影響，行動體驗之影響程度較微弱，而情感體驗對顧客保留的效果未被確立。在產品特性對體驗行銷模組和顧客保留強度之間關係的干擾效果部分，風險變數的干擾效果未被確立；努力變數對思考體驗和顧客保留之間的關係具有顯著的干擾效果，且是決定女性消費者是否在網路商店購買產品的最關鍵因素。網路商店業者若想成功留住女性顧客，須營造具有啟發性與充滿新資訊的體驗情境，使女性消費者願意付出更多的努力沉浸於該情境中，進而在心境上自然而然地轉移至購物的決定。 / E-stores are springing up quickly for the past decade, making it increasingly difficult for retailers to survive in the Internet retailing market. The situation is worsened by low-price competitive strategy. To online shoppers, the differences among e-stores are shrinking. Facing this difficulty of differentiating themselves, the concept of Experiential Economy seems to come to the rescue for online retailers, because it suggests creating differentiation through offering experiences according to customer desire. Internet is especially promising in the construction of unique shopping environment without incurring high cost. By satisfying the psychological needs of customers, retailers can expect to differentiate themselves and close more deals. 　　Nowadays the use of Internet is equally popular between males and females. Survey data also showed that female online shoppers have increased in recent years. In addition, studies showed household purchasing decisions are largely undertaken by females. To strengthen their market advantage, retailers should pay more attention to female shoppers. Thus the purpose of this study is to examine which types of online experiences help to retain female customers more effectively. 　　The experiential marketing construct of this study is based on Schmitt’s strategic experiential modules (SEMs). This study empirically examines the effects among the experiential marketing modules, product properties, and customer retention intensity. The results show that SENSE, THINK, ACT and SOCIAL modules have positive effects on customer retention. The effect of the ACT module is confirmed, although much weaker, while the effect of the FEEL module is not confirmed. As for the moderating effects of product properties between the experiential marketing modules and customer retention, the result does not confirm the moderating effect of the risk factor of product properties; however, the effort factor in the product properties has significant moderate effect between the THINK module and customer retention. It is very interesting to discover female customers’ experiential preference that is described in the THINK module, because intuitively male customers, rather than female customers, are perceived to exhibit such preference. To retain female customers, online retailers need to construct an experiential condition which is rich in new information and is appealing to consumers’ creative thinking.

傳統上透過行銷研究，如設計問卷透過市場調查、問卷調查等等活動來取得消費者資訊，但在資訊化的時代，利用POS系統所收集到且存在於資料庫中的銷售資料，忠實紀錄所有消費者的消費行為，其中亦隱含著消費者對品牌忠誠度、產品偏好性、價格敏感度等等消費行為。藉由著這些基礎，可進一步探索顧客輪廓(Customer Profile)、顧客忠誠度(Customer Loyalty)及顧客保留率(Customer Retention)，同時預測未來各種行銷活動的可能結果；進而擴大其應用範圍，進行新客源、新產品的開發工作。本研究以資料庫行銷、資料探勘等等理論基礎、統計學技術等等方法，以居家用品業為例，進行資料庫行銷(Database Marketing)的實證工作。實證資料來源為「生活工場」連鎖居家用品店現有之基本資料。並以此資料為基礎，探究顧客購買的消費特性，並以其類別、系列分析其產品關聯性審視其產品組合類別。另外一方面，利用資料庫中的銷售資料及VIP基本資料，以RFM(Recency, Frequency, Monetary)顧客分群方法，分離出不同的顧客族群，並在每一個族群中作交差比對(Cross-Checking)，探究各族群的顧客輪廓及其消費特徵。利用門市基本資料、銷售明細資料等，分析出地域消費特徵。最後，再以金卡、貴賓卡、生活卡三大族群的消費特性及與RFM族群之交差比對，並計算出不同卡別的顧客終身價值(Customer Lifetime Value, CLV)，以期提供「生活工場」與國內連鎖零售體系之產業，未來在對顧客關係經營之參考。 / In tradition, marketing research acquires the information of consumers through questionnaire design, marketing survey, etc. However, in the information age, the POS system is capable to collect the sales information and record them in the data base. It precisely records the consumer behaviors which include the brand loyalty, product preference and price sensitivity. Based on the information, it could more deeply discover the customer profile, customer loyalty and customer retention. It can also forecast the possibility of marketing event for the future and expand to other applications such as new customer creation and new product development. This research, based on the theory of database marketing, data mining methodology and statistic technology, substantiates database marketing in a case study of a home center. Actual data are provided by Working House, a home center chain store. Those data bases establish a foundation of exploring the consumer purchasing characteristic, analyzing series of product classifications and examining the product association and combination. On the other hand, based on the sales information and VIP database, RFM (Recency, Frequency, and Monetary) is utilized to cluster customer segments and research the customer profiling and shopping characteristic by cross checking each shopping group. Data from store locations and sales information are thus employed to explore the geographic characteristic of shoppers. In conclusion, based on the usage data of Gold Card, VIP Card, and Working House Card and cross checks with RFM clustering groups, the Customer Lifetime Value (CLV) of each card will be calculated and accumulated to provide Working House and other retailers the reference for managing customer relationship in the future.