The goal of this thesis is to propose strategies that profitably stimulate repeat purchase behaviour of Solosso's customers, Solosso being an e-commerce start-up producing custom made dress shirts. In order to accomplish the stated goal, research has been conducted into the existing body of literature about the subject, models for managing customers for value have been presented and applied on Solosso's customer database. Additionally, customer survey has been conducted to better understand customers' behaviour. Based on the applied models and the findings from the survey, the thesis delivers a set of recommendations on how to improve the product, what customers to acquire and, finally, what strategies to employ in order to profitably stimulate repeat purchase behaviour of the four main groups of Solosso's customers. The methods and strategies are expected to generate substantial incremental profits and may be implemented in other businesses as well.

近年來，由於行銷環境與消費行為的變化、資訊科技的進步以及零售金融業務逐漸成為商業銀行的經營重心，使得植基於資料庫技術之上的關係行銷發展受到國內外商業銀行的格外重視。對擁有豐富顧客資料的商業銀行而言，由於零售金融業務面對的是廣大的消費者，若仍沿用傳統行銷手法將無法建立實質的長期競爭優勢。因此深入瞭解以資料庫技術為基礎的關係行銷發展、探究影響關係行銷發展的因素，以及分析顧客資料庫在行銷策略上的應用方式，應是現階段經營的當務之急。 　　本研究屬探索性研究，經由文獻探討以及對商業銀行的深度訪談後，依據理論與實務的相互驗證以及所推論的命題，歸納出以下三點結論：(1)關係行銷的發展可分為「產品關係行銷」、「顧客關係行銷」及「家庭關係行銷」等三個階段，銀行業者應積極由產品關係提昇至顧客關係，再由顧客關係提昇至家庭關係階段。(2)組織的支持與承諾、行銷組織型態、顧客資訊的整合程度以及提供金融產品與服務的能力等，是影響關係升級的重要因素。在產品關係提昇至顧客關係時，組織的支持與承諾扮演相當重要的角色；而在顧客關係升級至家庭關係時，提供完整金融產品及服務的能力，是顧客關係提昇至家庭關係的重要前提。(3)關係發展階段不同，顧客資料庫應用的深度也不同。產品關係著重在行銷作業上的應用，顧客關係則在強調輔助行銷管理決策的進行，至於到達家庭關係階段時，顧客資料庫的應用已成為整個企業策略運作的核心資源。

If customers respond differently to a campaign, it is worthwhile to find those customers who respond most positively and direct the campaign towards them. This can be done by using so called incremental response analysis where respondents from a campaign are compared with respondents from a control group. Customers with the highest increased response from the campaign will be selected and thus may increase the company’s return. Incremental response analysis is applied to the mobile operator Tres historical data. The thesis intends to investigate which method that best explain the incremental response, namely to find those customers who give the highest incremental response of Tres customers, and what characteristics that are important.The analysis is based on various classification methods such as logistic regression, Lassoregression and decision trees. RMSE which is the root mean square error of the deviation between observed and predicted incremental response, is used to measure the incremental response prediction error. The classification methods are evaluated by Hosmer-Lemeshow test and AUC (Area Under the Curve). Bayesian logistic regression is also used to examine the uncertainty in the parameter estimates.The Lasso regression performs best compared to the decision tree, the ordinary logistic regression and the Bayesian logistic regression seen to the predicted incremental response. Variables that significantly affect the incremental response according to Lasso regression are age and how long the customer had their subscription.

This thesis looks into the key aspects of surveillance and marketing issues. It describes surveillance as a subject of studies, historical development in studies regarding surveillance and default approaches to the surveillance from the Surveillance Studies branch point of view. Main source of information for the thesis comes from the concept of surveillance from Michael Foucault, Gilles Deleuze, Zygmunt Bauman, David Lyon and other experts. Practical part of the thesis aims to present a balanced look on the marketing as a sphere of surveillance, to describe development of surveillance in marketing and to outline eventual risk and consequences of contemporary surveillance in marketing.

Företag inom dagligvaruhandeln använder sig ofta av database marketing för att anpassa deras erbjudande till deras kunder och därmed stärka kundrelationen och ökaderas försäljning. Länge har logistisk regression varit en modell som ofta används för att bygga upp maskininlärningsmodeller som kan förutse vilka erbjudanden som löses in av vilken kund. I arbetet utvärderas en maskininlärningsmodell med logistisk regression och stepwise selection på kunddata från en av Sveriges större aktörer inom dagligvaruhandeln. Modellen jämförs med en annan modell som istället använder sig utav elastic net, vilket är en regulariserad regressionsmetod. Modellerna testas på fem olika produkter ur företagets sortiment och baseras på ett femtiotal variabler som beskriver kundernas sociodemografiska data och historiska köpbeteende i företagets butiker. Dessa utvärderas med hjälp av en förväxlingsmatris och värden för deras Accuracy, Balanced Accuracy, Precision, Recall och F1-score. Dessutom utvärderas modellen utifrån affärsnytta, påverkan på kundrelationer och hållbarhet. Studien visade att den logistiska regressionen med stepwise selection hade ett genomsnittligt värde för Precision på 23 procent. Vid användning av elastic net ökade värdet för Precision med i genomsnitt 7 procentenheter för samtliga modeller. Detta kan bero på att vissa av parametrarna i modellen med stepwise selection får överdrivet stora värden samt att stepwise selection väljer ut variabler för modellen som inte är optimala för att förutsäga kundens beteende. Det noterades även att kunder generellt verkade nöjda med de erbjudanden de fått, men missnöjda ifall de kände sig missförstådda av företaget. / Companies within the FMCG trade often uses database marketing to customize offers to each customer, and thereby strengthen customer relationships to the company and increase their sales. For a long time, logistic regression has been the preferred machine modelling method to predict which offer to present to each costumer. This study evaluates a machinelearning model based on logistic regression and stepwise selection on costumer data from one of Sweden’s larger companies within the FMCG trade. The model is later compared to another model based on the elastic net-method, which is a regularized regressionmodel. The models are tested on five different products from the company’s assortment and are based on about fifty different variables which describes the costumers’ sociodemographic factors and purchasing history. The models are evaluated using a confusion matrix and values stating their Accuracy, BalancedAccuracy, Precision, Recall and F1-score. Furthermore, the model is evaluated in the perspectives of business advantages, costumer relations and sustainability. The study concluded that the logistic regression and stepwise selection-model had an average Precisionon 23 procent. When the elastic net-method was used the Precision increased with approximately 7 percentage points. This might depend on the fact that some of the parameters in the logistic regression-model had an overrated value and that the stepwise selection chose a subset of features that was not optimal to predict the consumer behaviour. It was also noted that costumers most often seemed content, but were dissatisfied if they felt misunderstood by the company.

The appearance of the Internet and new, rapidly changing emerging online technologies have led to some fundamental changes in marketing -- especially direct marketing. Besides the growing popularity of the Internet, the appearance of databases and one-to-one marketing are challenging traditional marketing methods. This thesis attempts to illustrate how direct marketing techniques can be implemented in an IT company. It starts with an overview of the concepts of direct marketing and its techniques and then provides a brief synopsis of its past as well as possible future trends. The differences between B2B and B2C marketing communications are discussed as is the role of direct marketing in the information technology (IT industry). The last section presents a case study -- concluded with the cooperation of SEAL Communication and Oracle -- which demonstrates how an IT company can effectively use direct marketing in order to achieve its goals and build long-lasting and fruitful customer relationships. For the successful execution of the direct marketing campaign, both Internet based tools and traditional methods were applied, in order to show that both of these technologies can be used together when targeting different groups with different needs.

近年來由於社會大環境的變遷，傳播媒體的演進，造成人們的購買習慣逐漸改變。以往仰賴的大眾傳播媒體，重要性將逐漸減退，取而代之的將是直接信函等個人傳播媒介，以及有線電視、網際網路等新興媒體。再加上消費者的需求逐漸個人化，因此，在這樣的趨勢之下，傳統的區隔市場將被細分成個人化市場，每個個人的重要性將更加明顯，企業也將面對更多的交易對象，導致企業必須蒐集顧客的各項資料，重新而全面的瞭解顧客，而企業的促銷決策，也將隨著對於顧客的瞭解而有所改變。 　　有鑑於此，本研究就針對最能夠個別接觸到顧客的直效行銷產業的業者，以探索性研究的方式，藉由國內外相關文獻的探討，以及國外施行資料庫行銷的成功個案，發展出研究的架構。接著與業者進行實地的深度訪談，以期發掘在直效行銷產業中顧客資料庫的階段性發展過程、不同階段的顧客資料庫內容與促銷決策間之關係、不同的業態對於促銷決策的影響、顧客資料庫的施行成效、以及顧客資料庫與促銷組合間的關係。 　　經由文獻探討、國外成功個案、以及國內個案公司的實際施行經驗，本研究發現在直效行銷產業裡，顧客資料庫內資料蒐集確實有階段性的發展過程，而此種發展過程將會隨著環境與企業的經營策略不同而改變。在業態的影響方面，不同的業態將會導致資料的內容與蒐集方式不同，資料更新能力也會不一樣，此外，促銷決策、促銷組合與促銷成本也會不一樣。而顧客資料庫的階段性發展，將會導致促銷決策有階段性的改變，而此種促銷方式，對於顧客的影響也是逐漸加深。在顧客資料庫的施行效益方面，會隨著顧客資料庫的發展階段與資料筆數而不同。 　　目前在國內以顧客資料庫為主要經營重心的產業越來越多，因此在其他產業運用顧客資料庫時，將可以利用本研究的發現為基礎，並且加以深入應用，將資料庫的構建過程規格化，以及對於企業的影響詳加瞭解，以便更能發揮資料庫的功能。

近年來由於消費者行為以及行銷環境的改變，行銷人員開始試圖從傳統的行銷手法中尋求突破，以獲取企業在行銷上的競爭優勢。藉由資訊及電子通訊科技之助，資料庫行銷可以創造新的行銷機會，並提高行銷績效。在國內，則由外商公司率先引進資料庫行銷技術，而許多企業也逐漸意識到顧客資料的重要性，因此如何建立一套有效的顧客資料庫並將其應用在行銷方面，便成為有心從事資料庫行銷者普遍關切的問題。 　　本研究屬於探索性的研究，藉由對國內外相關文獻的探討，發掘企業在從事資料庫行銷時必須掌握的關鍵因素，並進一步對國內企業進行實證研究，以了解企業之資訊系統、組織特質、行銷組合與資料庫行銷之間的互動關係。 　　經由文獻探討以及對實際個案公司經驗的研究分析，本研究發現企業本身資訊化及系統整合的程度會影響資料庫行銷的成效；企業各分公司之間經驗的轉移可以增進行銷人員的資料庫行銷技術，並提高成功的機率。高階主管對資料庫計劃的支持與承諾及行銷組織結構的配合均是成功的關鍵因素。此外，企業本身之產品或服務的特性以及行銷通路均須與資料庫行銷相配合方能發揮其最大的成效，而資料庫行銷的應用也有助於公司產品的發展及通路的開發。 　　資料庫行銷在國內的發展尚未完全成熟，但是未來將會更為普及，一些較為高層次的應用如資料庫分析的統計模式技術以及資料庫行銷對整合性行銷溝通之影響均為未來相當值得研究之議題。

Made available in DSpace on 2010-04-20T20:15:04Z (GMT). No. of bitstreams: 0 Previous issue date: 2001-12-20T00:00:00Z / Esta dissertação tem como objetivo principal estudar a utilização das ferramentas de marketing direto e de data base marketing pelas empresas que comercializam TV por assinatura no Brasil. Resume os conceitos, por meio da pesquisa bibliográfica, e estuda as aplicações práticas em dois casos, apontando como estas ferramentas poderiam ser melhor exploradas no planejamento de uma ação de marketing direto com a base de assinantes.

This master`s thesis deals with comprehensive proposal of new web pages design with e-commerce. It contains analysis of actual website, actual trends and design of optimal e-commerce solution, as new web pages design, functions, design of code structure and content structure and its implementation to internet server. It also includes economic point of view and strategic concept of new web with e-commerce.