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This chapter provides an overview of the state of knowledge about creative media advertising; choosing a novel medium that implicitly communicates the message. It explains what creative media advertising is and how it differs from other unconventional marketing communication formats. It addresses the theoretical mechanisms that explain how creative media affects consumers. Its final purpose is to review all the empirical findings about creative media advertising effects.

This chapter presents a systematic literature review of all the empirical research about creative media advertising that explicitly compares its effectiveness with traditional media advertising. The 11 reviewed articles with 16 experiments appeared between 2005 and 2015.

Overall creative media advertising generated positive evaluative outcomes (e.g., brand attitude) and behavior (e.g., word of mouth and sales). These effects were often mediated by a feeling of surprise and an increase in positive thoughts. It remains unclear whether creative media are perceived as persuasion attempts. Mixed findings exist for cognitive outcomes. Creative media advertising seems beneficial for creating strong brand associations, but brand memory might suffer from the technique if solving the link between the medium and the message takes away mental resources for the brand elements in the advertisement.

By reviewing all the literature about creative media advertising, the authors make recommendations for future research and for using creative media in practice. They emphasize potential boundary conditions and ideal circumstances of using creative media advertising.

Virtual assistants are increasingly used for persuasive purposes, employing the different modalities of voice and text (or a combination of the two). In this study, the authors compare the persuasiveness of voice-and text-based virtual assistants. The authors argue for perceived human-likeness and cognitive load as underlying mechanisms that can explain why voice- and text-based assistants differ in their persuasive potential by suppressing the activation of consumers' persuasion knowledge.

A pre-registered online-experiment (n = 450) implemented a text-based and two voice-based (with and without interaction history displayed in text) virtual assistants.

Findings show that, contrary to expectations, a text-based assistant is perceived as more human-like compared to a voice-based assistant (regardless of whether the interaction history is displayed), which in turn positively influences brand attitudes and purchase intention. The authors also find that voice as a communication modality can increase persuasion knowledge by being cognitively more demanding in comparison to text.

Simply using voice as a presumably human cue might not suffice to give virtual assistants a human-like appeal. For the development of virtual assistants, it might be beneficial to actively engage consumers to increase awareness of persuasion.

The current study adds to the emergent research stream considering virtual assistants in explicitly exploring modality differences between voice and text (and a combination of the two) and provides insights into the effects of persuasion coming from virtual assistants.

The purpose of this paper is to examine the causal relationship between interactive and personal campaigning on social media and political involvement, and the mechanisms that explain the effects. Specifically, this study examines whether personal and interactive communication on Twitter increases political involvement among citizens through social presence and perceived expertise.

An experimental design – a 2 (low vs high interactivity)×3 (depersonalized vs individualized vs privatized communication) between-subjects design – is used.

The findings show that interactive communication leads to a stronger sense of social presence and source expertise, which positively affect involvement. The effects of personal campaigning differ. Individualized communication positively affects involvement via source expertise. Interestingly, privatized communication positively affects involvement via social presence, but negatively via source expertise.

Although a growing body of work examines the political consequences of social media, there is still very little understanding why social media affect citizens. The current study fills this void by investigating how the use of social media affects political involvement among citizens.

The purpose of this study is to introduce a comprehensive and dynamic framework that focuses on the role of algorithms in persuasive communication: the algorithmic persuasion framework (APF).

In this increasingly data-driven media landscape, algorithms play an important role in the consumption of online content. This paper presents a novel conceptual framework to investigate algorithm-mediated persuasion processes and their effects on online communication.

The APF consists of five conceptual components: input, algorithm, persuasion attempt, persuasion process and persuasion effects. In short, it addresses how data variables are inputs for different algorithmic techniques and algorithmic objectives, which influence the manifestations of algorithm-mediated persuasion attempts, informing how such attempts are processed and their intended and unintended persuasive effects.

The paper guides future research by addressing key elements in the framework and the relationship between them, proposing a research agenda (with specific research questions and hypotheses) and discussing methodological challenges and opportunities for the future investigation of the framework.

The purpose of this paper is to provide insights into personalisation from a practitioner’s perspective to bridge the practitioner-academia gap and steer the research agenda. A wide scope of research has investigated personalisation from a consumer perspective. The current study aims at bridging the consumer and practitioner perspective by entering into a dialogue about the practical application of personalisation. It takes the personalisation process model by Vesanen and Raulas (2006) as the starting point.

Lead by the exploratory character of the study, semi-structured expert interviews were conducted with marketers, market researchers and online privacy specialists.

The results showcase how practitioners view the issues present in consumer research. First, they are overly positive about personalisation. Second, they are aware of constraining factors; findings showcase best practices to mitigate them. Finally, practitioners are aware of controversies surrounding personalisation and thus engage in ethical discussions on personalisation.

This study shows that practitioners have somewhat different believes about the utility and appreciation of personalised marketing practices than consumers. It also shows awareness of some of the key concerns of consumers, and that such awareness translates into organisational and technological solutions that can even go beyond what is currently mandated by law. Six insights into personalised marketing as well as expectations for the future of the phenomenon are discussed to steer the research agenda.

Insights into the practice of personalisation contribute to a shared understanding of this phenomenon between involved actors, such as marketers, advertisers, and consumer representatives. In addition, implications for lawmakers are discussed, suggesting that the implementation of privacy laws needs more clarity and that actions aiming at improving consumer knowledge are needed.

The paper contributes to the literature first, by drafting a descriptive map of personalisation from a practitioners’ perspective and contrasting it with the perspective stemming from consumer research and, second, by offering insights into the current developments and direct implications for practice and future research.

This study unravels the intellectual structure of virtual reality (VR) in digital marketing (DM) research, identifies core research gaps and presents future research avenues. The study also conducts a performance analysis of publications in the field and identifies the most important stakeholders of the stated topic.

The Web of Science database was used to retrieve the publications that were relevant to the topic between 2012 and 2022. Biblioshiny, a shiny app for the Bibliometrix R package, is used to conduct a bibliometric analysis by decoding the results into several visual representations.

This report includes the most prolific contributors, keyword analysis results, productive nations, authors and connections, as well as the most often cited publications on VR in DM. In DM research, numerous perspectives on VR were looked at, explored and revealed.

The findings provide a new perspective and understanding of the issue for researchers in order to improve their research insights in the field. This study will also benefit marketing practitioners in ensuring the sustainability and innovativeness of technology used to run their DM campaigns.

This research provides the first bibliometric analysis of the citation works and productivity in the field of VR in DM using Biblioshiny, identifies core research gaps and provides future research agenda which can be useful to advance the research understanding in this context.