Entertainment Marketing to the Millennial Generation is an honors thesis project which combines research with a creative application. The thesis consists of four main segments: an overview of data surrounding Millennials, a discussion of three companies that successfully marketed to this generation, the creation and explanation of a proposed marketing modeling framework and an application of the previously found conclusions to a brief advertising strategy for Paramount Pictures. This thesis first looks at the Millennial Generation to answer the question "Who are the Millennials?" and to more clearly understand their role as media and entertainment consumers. Characteristics of technological dependence, fast-moving attention spans, desire for connection, and unique brand perceptions emerged as most significant. The case studies examine the marketing campaigns of Lionsgate Films' The Hunger Games, Nickelodeon's The 90s Are All That and MTV Iggy's Music Experiment. Strategic tactics used to target and foster a strong Millennial fan-base were identified. The previously discovered principles led to the development of a modeling framework to be used to build a Millennial-focused marketing campaign. The framework utilizes the five key elements of connectedness, hyper-advertising, technological leadership, brand currency and cultural edge. Finally, all findings were gathered and applied to Paramount Pictures. The knowledge gained from Millennial research, the case studies and the marketing framework shaped recommendations for a creative advertising brief for Paramount Pictures' Anchorman 2. The general principles of the thesis were also suggested for use in marketing in various industries.

This project investigates how experiences colleges create for admitted students impact students' excitement for, satisfaction with, and likelihood to attend the college, analyzed by different subgroups, and how non-yielded students compare their college selection to W. P. Carey on various metrics. This study found that top admit students were less likely to attend, less satisfied, and less excited with the services offered than their counterparts and recommendations were made to improve the gap.

As millennials are growing and becoming the "the next big consumer market," understanding them is crucial (Paul, 2001; Kumar & Lim, 2008). This study will attempt to understand their processing of ads by observing the relationship between construal level theory and product type (i.e. hedonic vs. utilitarian). Construal Level theory suggests that individuals construe information at different abstract levels. High levels are characterized by abstract and general representation (e.g. thinking of moving as starting a new chapter of life) while low levels are characterized as including more concrete and contextual details (e.g. thinking of moving as packing boxes). Neither interaction nor main effect of product type was observed either as main effect or as interaction with construal level. However, a significant main effect of construal level was found showing that concrete and contextual (low construal level) information on advertisements makes them more effective and useful to millennials; influences purchase intentions more than ads construed in high construal levels; and, makes brands seem more credible, stable and truthful.

In two thematically related chapters, I explore the benefits incurred as companies actively respond to consumers who share positive word of mouth in digital environments (eWOM). This research takes a multi-method approach by first addressing the psychological impact of company response on the sharing consumer, followed by an examination of real behavioral consequences in a social media setting. Across six studies in Chapter 1, I find support for a conceptual model indicating that consumers who receive a company response to their positive eWOM experience greater satisfaction compared to no response, leading to increased intentions to engage in future positive eWOM on behalf of the company, both through social media and online review websites. Furthermore, I find that consumer perceptions of response personalization lead to judgments of company effort and that these two elements mediate the effect of response on consumer satisfaction. In Chapter 2, using a dataset of firm responses to positive consumer feedback on Twitter (tweets) from 79 apparel retailers, I find that company responses to positive consumer tweets can generate consumer engagement behavior in the form of continued interaction. Company responses that use consumer-oriented language increase the likelihood of consumer interactivity. However, this effectiveness depends on whether the consumer's audience is the company or their broader network of followers. I also show that, in some conditions, companies achieve higher consumer engagement by personalizing responses with the consumer's name. Together, the findings from these two chapters point to the need for companies to strategically practice positive eWOM management, both to promote consumer engagement behaviors and to avoid the negative outcomes associated with unresponsiveness.