The aim of the thesis is proposal of marketing plan of Horsefeathers trademark. The theoretical part deals with individual steps of marketing planning, this knowledge are based on specialized literature. In the practical part of thesis is described current situation in company and process analysis. At the end thesis presents proposal for improvements marketing plan based on gained theoretical knowledge.

The grocery trade is part of the food industry, which is Sweden's third largest industry. It is obvious that it is an industry with a high market concentration where the market share of the three largest companies corresponds to almost 87%. In addition to the high concentration in the market, the industry is undergoing a structural change in new store formats that are more adapted to the customer's needs, among other things through geographical location, opening hours, service, price and design. Each individual has their own preferences when it comes to where to shop. At present, the supply of grocery stores is large and there is a tough level of competition throughout the country. It is therefore important for the various chains in the grocery trade to create and maintain a loyal customer base in order to remain relevant but also to survive the tough competition. The purpose of the study is to create an understanding of which marketing techniques the various chains in the Swedish grocery trade use to create and maintain a loyal customer base. To be ableto investigate this, a qualitative study was conducted consisting of four interviews with three different chains. The respondents who have participated have either had a central and high-ranking role within the chain or in the stores. This is because it is important for the study that the respondents have insight into how the organization works. The chains that have participated are: ICA, Hemköp and Coop. Based on the theoretical framework and the empirical evidence that has been collected, ananalysis has been carried out in order to be able to draw a conclusion. The conclusion that is drawn is that there are many and important factors that come into play to maintain and create aloyal customer base. But the marketing technique that stands out and that is of utmost importanceis loyalty programs followed by customer relationship management, relationship management and corporate store image.

This diploma thesis is covering topics of customer's loyalty, loyalty programs in banking and mainly topic is loyalty programs of payment cards in banking industry. First theoretical parts is guiding us though concept of customer's loyalty in banking industry and is describing specifics of this loyalty compared to loyalty to sales businesses. Further, this thesis is trying to show opportunities to be used to support customer's loyalty in bank with participation of credit and debit cards. In this sense, these payment cards are those that enable client's entry into the loyalty program and into the advantages that is loyalty program offering. Further, this thesis is describing interesting concept of loyalty program that is closely coupled with business partners that give opportunities to make the program very variable and interesting for customers. Practical part of this thesis is describing basis for technologies to be used while deploying the loyalty program and is discussing two main technical concepts regarding loyalty system integration with current bank information systems. One of those is further discussed and described from the point of view technical realization in common data warehouse systems. Main contribution of this work is preview of approaches to payment card loyalty programs and also preview of possibilities in way the loyalty program can be integrated with data warehouse currently deployed in the bank.

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本論文研究目的有三: (1) 釐清一般在忠誠度計劃定義上常見的錯誤觀念，進而探索CRM與忠誠度計劃之間的關係，並且發展一套實務上可用的忠誠度計劃分類方法; (2) 研究零售業CRM計劃中現行的戰術手法，並提供策略性建議給業者該如何校準戰術手法的重心並且相應地配置資源; (3) 發展一套可供現代零售業者自我診斷其CRM計劃在分析成熟性以及策略行銷重心的實務架構。 為達到研究目的，本研究首先探討在零售業，顧客關係管理(CRM)，忠誠度計劃以及分類方法上的相關文獻以釐清忠誠度計劃定義上常見的錯誤觀念，進而說明CRM與忠誠度計劃之間的關係，最後發展一套實務上可用的忠誠度計劃分類方法。 其次，本研究先應用邱志聖博士(2010)的策略4C模型，分析現行零售CRM計劃的戰術手法，並且提供策略性建議給業者該如何校準戰術手法的重心並且相應地配置資源。 再次，本研究應用邱志聖博士(2010)的策略4C模型以及戴文波特博士與哈里斯女士(2007)的分析成熟模型於建構零售CRM計劃的兩階段診斷性架構。 後續深入的分析主要根據此架構而進行，同時根據零售業所處不同的分析成熟階段提出策略性建議。 對於零售業的高階主管，本研究的貢獻在於提出一套實務可行的診斷性架構，供主管重新檢視其CRM計劃在策略上的重心，並且能隨著公司規模成長，進而調整重心的優先順序。 對於CRM以及忠誠度計劃的從事者，本研究貢獻則在於零售CRM計劃，忠誠度計劃以及相關概念上的定義的建立正確觀念。 最後，本論文的研究發現亦可當作對CRM以及忠誠度行銷人員的策略性建議，尤其當在設計戰術手法之時，能針對公司所處不同的分析成熟階段，對焦CRM策略以及相應資源配置。 / The purpose of this thesis has three objectives: (1) clarify some common misunderstandings about definitions of loyalty scheme, explore the relationship between CRM and loyalty scheme, and develop a typology of loyalty scheme for practical use; (2) study on current tactics used within retail CRM programs and provide strategic advices on how to fine-tune the tactics focus and align resource accordingly; and (3) develop a practical framework that allows modern trade retailers for self-diagnosing their CRM programs in terms of analytical maturity and strategic marketing focus. To achieve the research goals, this research has firstly reviewed previous research on retail, CRM, loyalty schemes and its typology, and thus misunderstandings about definition of loyalty scheme, CRM, the relationship between CRM and loyalty scheme have explained and consequently a new typology of loyalty scheme has been developed. Second, strategic 4C model (Chiou 2010) is used in this research to analyze current tactics used within retail CRM programs and the strategic advices are generated on how to fine-tune the tactics focus and align resource accordingly. Third, this research adopted literature of strategic 4C model (Chiou 2010) and analytical maturity model (Davenport and Harris 2007) to form a two-stage diagnostic framework for retail CRM program. The further analysis is conducted based on this framework while strategic advices are provided to retailers of different analytical stage. The benefits for business executives in retail include a diagnostic framework allowing for strategically reviewing their CRM program focus and priority as retailers grows their business. The benefits for CRM and loyalty practitioners include building correct understandings about retail CRM program, loyalty scheme and related conceptual definitions. The findings in this study may serve as strategic advices to CRM or loyalty marketers to better align resources, when they design tactics, to companies’ CRM strategy at different analytical stage.

The aim of the thesis is to evaluate the effectiveness of the selected marketing campaign in the area of telecommunications, on the basis of defining basic criteria for success of the marketing campaign as part of the communications plan of the company. The theoretical part of the thesis is focused on defining the fundamental components of the marketing and the communication mix. Furthermore, theoretical part covering the approaches, methods and indicators for measuring the effectiveness of marketing campaigns, serves as a theoretical basis to schedule and implement the practical part. The practical part deals with the marketing and creative concept and the communication strategy of the campaign O2 Extra výhody of Telefónica Czech Republic. The effectiveness of the campaign is evaluated on the basis of the primary research using the questionnaire and also on the basis of the secondary data available from Telefónica CR.

In der akademischen Fachliteratur existieren kaum Forschungsergebnisse zu One-to-One-Marketing, die auf Anwendungen im Einzelhandel ausgerichtet sind. Zu den Hauptgründen zählen, dass Ansätze nicht auf die Größe typischer Einzelhandelsanwendungen skalieren und dass die Datenverfügbarkeit auf Händler und Marketing-Systemanbieter beschränkt ist. Die vorliegende Dissertation entwickelt neue deskriptive, prädiktive und präskriptive Modelle für automatisiertes Target Marketing, die auf Representation Learning und Deep Learning basieren, und untersucht deren Wirksamkeit in Praxisanwendungen. Im ersten Schritt zeigt die Arbeit, dass Representation Learning in der Lage ist, skalierbar Marktstrukturen zu analysieren. Der vorgeschlagene Ansatz zur Visualisierung von Marktstrukturen ist vollständig automatisiert und existierenden Methoden überlegen. Die Arbeit entwickelt anschließend ein skalierbares, nichtparametrisches Modell, das Produktwahl auf Konsumentenebene für alle Produkte im Sortiment großer Einzelhändler vorhersagt. Das Deep Neural Network übertrifft die Vorhersagekraft existierender Benchmarks und auf Basis des Modells abgeleitete Coupons erzielen signifikant höhere Umsatzsteigerungen. Die Dissertation untersucht abschließend eine Coupon-Engine, die auf den entwickelten Modellen basiert. Der Vergleich personalisierter Werbeaktionen mit Massenmarketing belegt, dass One-to-One Marketing Einlösungsraten, Umsätze und Gewinne steigern kann. Eine Analyse der Kundenreaktionen auf personalisierte Coupons im Rahmen eines Kundenbindungsprogrammes zeigt, dass personalisiertes Marketing Systemnutzung erhöht. Dies illustriert, wie Target Marketing und Kundenbindungsprogramme effizient kombiniert werden können. Die vorliegende Dissertation ist somit sowohl für Forscher als auch für Praktiker relevant. Neben leistungsfähigeren Modellansätzen bietet diese Arbeit relevante Implikationen für effizientes Promotion-Management und One-to-One-Marketing im Einzelhandel. / Research on one-to-one marketing with a focus on retailing is scarce in academic literature. The two main reasons are that the target marketing approaches proposed by researchers do not scale to the size of typical retail applications and that data regarding one-to-one marketing remain locked within retailers and marketing solution providers. This dissertation develops new descriptive, predictive, and prescriptive marketing models for automated target marketing that are based on representation learning and deep learning and studies the models’ impact in real-life applications. First, this thesis shows that representation learning is capable of analyzing market structures at scale. The proposed approach to visualizing market structures is fully automated and superior to existing mapping methods that are based on the same input data. The thesis then proposes a scalable, nonparametric model that predicts product choice for the entire assortment of a large retailer. The deep neural network outperforms benchmark methods for predicting customer purchases. Coupon policies based on the proposed model lead to substantially higher revenue lifts than policies based on the benchmark models. The remainder of the thesis studies a real-time offer engine that is based on the proposed models. The comparison of personalized promotions to non-targeted promotions shows that one-to-one marketing increases redemption rates, revenues, and profits. A study of customer responses to personalized price promotions within the retailer’s loyalty program reveals that personalized marketing also increases loyalty program usage. This illustrates how targeted price promotions can be integrated smoothly into loyalty programs. In summary, this thesis is highly relevant for both researchers and practitioners. The new deep learning models facilitate more scalable and efficient one-to-one marketing. In addition, this research offers pertinent implications for promotion management and one-to-one marketing.