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This chapter will look at the development, types and effectiveness of new forms of advertising in television (NFAs) and report on the current state of research in the field.

The most relevant contributions from the literature describing the practice and assessing the effectiveness of NFAs are presented and reviewed.

NFAs have emerged in response to the decreased effectiveness of conventional television advertising (spots) due to audience fragmentation, zapping, saturation and increased competition. Currently, NFAs are widely used around the world. Although the available empirical evidence indicates that NFAs are more effective than traditional spots in terms of recall, this chapter points to a need for better scientific understanding of key aspects of these new formats. Given the important role that NFAs play in how today’s television advertising market is managed, further research is needed on their effectiveness.

The literature on the practice and analysis of the effectiveness of NFAs is unfocused and varied, making it difficult to adequately determine whether the growing use of these formats can be justified on the grounds of proven arguments regarding the qualities that set them apart from traditional spots. In this regard, the summary provided in this chapter of both the state of knowledge about different types of new advertising formats on TV and their effectiveness is an important reflection of the state of the art in research on these formats.

Digital gaming has become one of the largest entertainment sectors worldwide, increasingly turning the medium into an attractive vehicle for the communication of advertising messages. As a result, the incorporation of products or brands in digital games or in-game advertising (IGA) is expected to grow steadily over the course of the following years. However, much work is still needed to determine and optimize the effectiveness of IGA. The goal of the chapter is to advance IGA effectiveness research by investigating the influence of three aspects of the context in which a game is played and the player’s involvement in response to this context on brand awareness.

To this purpose, three experiments were set up. The first experiment (between-subjects, N = 121) investigated the impact of the social setting in which a game is played, the second experiment (within-subjects, N = 31) examined the effect of the game controls that are used, and the third experiment (between-subjects, N = 62) analyzed the influence of the game story.

The findings of the experiments show that the game context can significantly influence the way in which people recall and recognize brands that are included within its environment and that examining the player’s involvement in response to this context can provide useful information regarding the processes underlying this effect.

These findings contribute to the knowledge of when, how, and in which games advertising can be incorporated in order to achieve games’ full potential as an advertising medium.

A meta-evaluation is an assessment of evaluation practices. Meta-evaluations include assessments of validity and usefulness of two or more studies that focus on the same issues. Every performance audit is grounded explicitly or implicitly in one or more theories of program evaluation. A deep understanding of alternative theories of program evaluation is helpful to gain clarity about sound auditing practices. We present a review of several theories of program evaluation.

This study includes a meta-evaluation of seven government audits on the efficiency and effectiveness of tourism departments and programs. The seven tourism-marketing performance audits are program evaluations for: Missouri, North Carolina, Tennessee, Minnesota, Australia, and two for Hawaii. The majority of these audits are negative performance assessments. Similarly, although these audits are more useful than none at all, the central conclusion of the meta-evaluation is that most of these audit reports are inadequate assessments. These audits are too limited in the issues examined; not sufficiently grounded in relevant evaluation theory and practice; and fail to include recommendations, that if implemented, would result in substantial increases in performance.

It seems that the Internet boom, which started at the end of the 1990s and finished with the spectacular collapse of the so-called dotcoms, is probably over. We are currently enjoying a period of fast and stable growth. This is manifested by the growing number of both Internet users and companies which – to an ever-increasing extent – use the Internet as a form of communication (both internal and external), promotion, sales etc. Expenditures on Internet advertising are growing continuously and now constitute more than 25% of all advertising expenditure. A natural consequence of this development is the need for the standardisation and organisation of the world of the Internet. These activities will result in a greater awareness of the benefits which this medium provides, increasing the possibilities of its use, and – most importantly – the opportunity to evaluate the return on investments made on the Internet. Nowadays, it is clear that many companies are striving to increase the quality of their activities on the Internet or to improve the effectiveness of such activities. As a consequence, the number of companies that look for indices which would enable the making of more precise and effective decisions in the scope of online operations is growing.

This chapter is dedicated to the phenomenon of the increasing role of the Internet in business, including the scale of its use by Polish and international companies. We present the most commonly used measures of marketing activities on the Internet and in social media. This group includes the indices which make it possible to determine whether a company actually needs a website. Other measures allow for the improvement in the effectiveness of the activity on the Internet, whereas others specify the costs of activities on the Internet and often serve as the basis for settlements between a company and advertising agencies or companies specialising in website design. It is worth emphasising that the Paid, Earned, Shared, Owned (PESO) model, worked out by Don Bartholomew,¹ is the basis for creation and description of indices concerning social media. This model has gained certain popularity in the social media industry. It does not, however, specify how individual indices should be named and calculated. It maps already existing indices and adapts them to specific levels of marketing communication measurement. All the measures indicated by the author of the model have been grouped into five major areas: exposure, engagement, brand awareness, action and recommendations. This model– similarly to all models of performance measurement – inspired by the sales funnel concept, adjusts certain standard indices and proposals of measurements for specific levels. Additionally, the measures are divided into four types, depending on who the owner of the content is: Paid (P) – refers to all forms of paid content; Owned (O) – all websites and web properties controlled by a company or brand; Earned (E) – the contents about a given brand created spontaneously by Internet users; and Shared (S) – the contents shared by Internet users.

It is generally recognised that companies spend approximately 50% of their marketing budget on promotional activities. Advertising belongs to the most visible areas of a company’s activity. Therefore, it should not be surprising that the average recipient associates marketing with advertising, competitions and leaflets about new promotions delivered to houses or offices. Advertising, especially Internet advertising, is one of the most effective forms of marketing and one of the fastest developing areas of business. New channels of communication are emerging all the time – the Internet, digital television, mobile telephony; accompanied by new forms, such as the so-called ambient media. Advertising benefits from the achievements of many fields of science, that is, psychology, sociology, statistics, medicine and economics. At the same time, it combines science and the arts – it requires both knowledge and intuition. Contemporary advertising has different forms and areas of activity; yet it is always closely linked with the operations of a company – it is a form of marketing communication.

The indices of marketing communication presented in this chapter are generally known and used not only by advertising agencies but also by the marketing departments of many organisations. Brand awareness, advertising scope and frequency, the penetration index or the response rate belong to the most widely used indices; others, like the conversion rate or the affinity index, will get increasingly more significant along with the process of professionalisation of the environment of marketing specialists in Poland and with increased pressure on measuring marketing activities. Marketing indices are used for not only planning activities, but also their evaluation; some of them, such as telemarketing, mailing and coupons, provide an extensive array of possibilities of performance evaluation.

Purpose – To better understand the general marketing sensitivities of Generation Y and the manner in which Congruency Theory and the Elaboration Likelihood Model (ELM) may apply.

Design/methodology/approach – A quantitative two-factor (peripheral cue congruency and relative product involvement) between-subjects design was used to determine the attitudinal impact associated with the use of congruous peripheral cues in high- and low-involvement product situations.

Findings – Generation Y's attitudinal responses to peripheral cues both align with and vary from the general predictions of the ELM. Relative product involvement is more important than peripheral cue congruency in the formation of attitudes toward an advertisement.

Originality/value – Generation Y is a powerful social and economic consumer group whose attitudinal responses to marketing appeals have not been extensively studied. The current study furthers understanding within this important arena.

Research implications/limitations – The use of congruent peripheral cues is not sufficient to generate positive attitudes in both high- and low-involvement product scenarios. Effective marketing must move beyond cue congruency to include an involved “lifestyle fit” that will effectively generate positive attitudes. Limitations include the sole review of print advertisements and a sole reliance on college-attending members of Generation Y. Future research should examine the impact of congruency on advertisements whose strategic intent focuses on awareness or action rather than on mere attitude change.

Although scientific methods are available for evaluating the impact of intervention programs (e.g., plant growth of alternative seeds and soil treatments; consumer purchases of alternative prices, brands, and products; reforms such as regulations requiring wearing helmets by motorcycle riders), tourism marketing programs fail to use these methods. Traditional “conversion studies” – estimating the rate inquiries from tourism advertising convert into visitors by asking samples of inquirers if they visited – have fatal flaws in measuring whether or not the advertising caused visits to the destination that otherwise would not have occurred. The failure to stop doing traditional conversion studies to measure whether or not advertising causes visits appears to be an example of ignorance of ignorance, that is, tourism marketing executives do not have the knowledge and skills for applying effective methods to estimate the effectiveness of marketing and advertising's influence on causing visits, and they are unaware of their ignorance. What to do? New technologies in delivering advertising is decreasing the costs and efforts of using scientific methods for measuring advertising and marketing's impact on visits. Large, unobtrusive, scientific field experiments are appearing in the literature in the second decade of the 21st century. Good news at last?

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.