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This chapter presents a systematic review of over 30 types of online marketing methods. It describes different methods like email marketing, social network marketing, in-game marketing and augmented reality marketing, among other approaches. The researchers discuss that the rationale for using these online marketing strategies is to increase brand awareness, customer-centric marketing and consumer loyalty. They shed light on various personalization methods including recommendation systems and user-generated content in their taxonomy of online marketing terms. Hence, they explain how these online marketing methods are related to each other. The researchers contend that the boundaries between online marketing methods have not been clarified enough within the academic literature. Therefore, this chapter provides a better understanding of different online marketing methods. A review of the literature suggests that the “oldest” online marketing methods including the email and the websites are still very relevant for today’s corporate communication. In conclusion, the researchers put forward their recommendations for future research about contemporary online marketing methods.

Retail marketing is in the midst of an evolution. The paradigm is shifting from a product-centric to a consumer-centric focus, with a particular emphasis on understanding how consumers transition from harboring an interest in a product to actually purchasing that product. In response, shopper marketing, and in-store marketing (ISM) in particular, have emerged as important mechanisms to influence shopper behavior in brick & mortar and online retail environments. The academic literature is replete with work on what factors of ISM influence shopper behavior. In this chapter, we categorize prominent streams of findings on ISM into firm, customer, competitor and product characteristics of ISM and examine how the notion of a “store” is evolving from bricks to clicks – namely from physical formats to online shopping experiences. Insights from this chapter will help retailers and store managers identify what their customers respond to within a physical store, how technology is changing the way they can capture information on customers, and how shopper behavior is evolving in response to brick & mortar and online retail environments.

Online marketing become a trend in recent years focussed on online social networks, such social networks have rapidly grown in popularity; providing platforms to the marketing of products and services for the hospitality industry. Online marketing offers media technologies that can facilitate online functionality and monitoring perspectives wherein the data gathered can be used to develop their services for customer satisfaction. The purpose of this study is to study the impact of online marketing in travel agency. The data collected using google online survey and analysed using SPSS. The findings stressed that online marketing in travel agency has a positive relationship in increasing the sale of packages in travel agency. Travel agencies who use online marketing more frequently receive more correspondence. Therefore, travel agencies should use online marketing to generate more income. The value of time has also changed, making communication a process that has to be instant and simplified. Hence, travel agencies have to use online marketing and taking into account travellers feedbacks and complaints as well as delivering information about products and services in real time. Travel agencies have no chance to face their competitors if they don’t adopt online marketing strategies.

This chapter presents a summary of the literature on the influence of the Internet and other digital innovations on markets, consumers, and firms. The review leads to a list of topics in need of research in the general areas of big data, online and mobile advertising, consumer search, online privacy, online reviews, social networks, platforms for online transactions, and the impact of the Internet on retail markets, including multi-channel and omni-channel retailing. We discuss the big data approaches that have been applied to problems of targeting and positioning and suggest areas for further development of these approaches. We also discuss the emerging area of mobile advertising, which can further enhance targeting. On the consumer side, the evidence indicates that the Internet has greatly lowered the costs of search and access to retailers. Much of the consumer data are transmitted to sellers, and much of the online advertising is transmitted to consumers, through platforms, such as Google. We conclude that better models of competition among these platform firms are needed and that they need to be examined for anti-trust violations. While online retailing has grown rapidly, it still has a relatively small share of retail sales. Since sellers can combine the advantages of online and offline channels, it has been common for sellers to branch into multi-channel retailing. Given the increased availability of detailed consumer data, omni-channel selling, which emphasizes strategies for the various touchpoints that lead to a transaction, is an area for further development.

This chapter covers a diverse range of alternative methods for capturing deep major account insights online. Increasingly in the twenty first century, B2B decision-makers remain abreast of industry innovations and product information through participation in online communities. Through using social mobile technologies businesses exchange product and service experiences online amongst peers not just vendor organisations. A key aspect of this chapter shares rationale for selection of a marketing versus research community, community objectives, online techniques to gain major account insights using big data, resourcing, integration with existing marketing systems and budgeting for ongoing maintenance of marketing communities supporting B2B sales and marketing initiatives. This chapter focuses on the emerging area of B2B sales activities for creation and management of online communities for Major Account management of energy supply customers. A case-based research strategy specifically honed towards sensemaking of major account activities through using B2B online communities in conjunction with emerging research methods is outlined and critiqued.

Allocating budget optimally to marketing channels is an increasingly difficult venture. This difficulty is compounded by an increase in the number of marketing channels, a rise in siloed data between marketing technologies, and a decrease in individually identifiable data due to legislated privacy policies. The authors explore the rich attribution modeling literature and discuss the different model types and approaches previously used by practitioners and researchers. They also investigate the changing landscape of marketing attribution, discuss the advantages and disadvantages of different data handling approaches (i.e., aggregate vs. individualistic data), and present a research agenda for future attribution research.

The aim of the chapter is to examine the importance and use of reviews in the marketing communication of selected spa tourism enterprises on the Internet. The subject of the research are reviews as an important part of the online reputation of spa tourism enterprises and the object of the research is marketing communication on the Internet. The chapter focuses on spas located in Slovakia. The primary sources are the results of a quantitative survey conducted by standardized observation of the websites and profiles of all spa tourism enterprises in Slovakia under study on the social networks Facebook, Instagram, and YouTube based on predetermined criteria. At the same time, the results of the primary survey are conducted by the method of questioning using the technique of structured interviews. The chapter uses theoretical research methods such as analysis and synthesis, induction and deduction, and generalization. The chapter presents the results of qualitative research using the Sankey diagram, processed by Atlas.ti software. The results of the research point to the fact that spa tourism enterprises in Slovakia use their own websites and social networks to communicate in the online environment, where they monitor both positive and negative reviews. However, they often do not work with reviews systematically enough and do not make use of standardized procedures and available technologies that would enable them to manage their online reputation more effectively.

The rapid digital transformation is driving businesses to reexamine their marketing plans and practices. Marketers face new conflicts while they are implementing digital marketing strategies. The main objective of this chapter is to deeply understand these conflicts and to provide appropriate solutions. This chapter addresses six digital conflicts that challenge marketers most: (1) online versus offline channel conflicts, (2) conflicts stemming from digitalization gap, (3) conflicts in influencer marketing context, (4) conflicts in artificial intelligence (AI) context, (5) environmental conflicts and digital marketing, and (6) ethical conflicts and digital marketing. Finally, we discuss conflict management strategies for the most challenging digital marketing conflicts.

This article reviews the quantitative marketing literature on artificial intelligence (AI) through an economics lens. We apply the framework in Prediction Machines: The Simple Economics of Artificial Intelligence to systematically categorize 96 research papers on AI in marketing academia into five levels of impact, which are prediction, decision, tool, strategy, and society. For each paper, we further identify each individual component of a task, the research question, the AI model used, and the broad decision type. Overall, we find there are fewer marketing papers focusing on strategy and society, and accordingly, we discuss future research opportunities in those areas.