Archive for November, 2016

Media Viewership in the Connected World: A Big Data Case Study

Abstract:

U.S. consumers are adding time to their media day and making time to connect with their favorite content, no matter where it exists (Nielsen 2014). But how they’re consuming media is ever-changing thanks to the continued proliferation of technological devices, 24/7 availability of the media content, ease-of-access, and economics. Whether streaming or satellite, over-the-air or over-the-top, understanding how consumers are consuming media is more important than ever, particularly for companies providing these services since advertising is their major source of revenue. For researchers, this consumption ecosystem has given rise to big datasets consisting of millions and millions of viewing records to mine thru in order to discover trends, viewing patterns, and relationships. In this study, we are attempting to do just that. Read more

2016
11/19
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A Panel Examination of Over-the-Top Audience

Abstract:

The new reality for consumers is they not only have access to more content than ever before, but they can also select the content they want, when they want, and watch in the device they want. One such device that has become increasingly popular for media consumption is Over-the-Top (OTT) media players. These are devices that deliver video content via the internet to television sets. Today, there exists an ever-growing number of various OTT devices from Roku players, the Apple TV, the Amazon Fire TV box, Chromecast, and game consoles. However, with this increased availability of choice comes the growing fragmentation of consumer time and attention. This leaves advertisers with the complex task of breaking through the clutter of advertisements and finding a way to reach the OTT device-specific audience. However, reaching an audience behind an OTT device requires a thorough understanding of the viewers. To date, there has been no study examining the differences between various types of OTT device owners and their viewing behaviors. Read more

2016
11/19
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Who’s on Netflix vs. Hulu vs. Other? A Panel based examination of SVOD users

Abstract:

The media industry is in a state of flux with continued fragmentation of consumer time and attention around media and across various devices and services. One such service that is popular among consumers today is SVOD (Subscription Video On-Demand) which enables on-demand access to both native digital content and TV-produced content. Forty eight percent of US homes have access to at least one SVOD service from providers such as Netflix, Amazon Prime and Hulu, up from 42% a year ago, according to Nielsen’s report. As consumers are shifting from live viewing to SVOD consumption, researchers are interested in understanding the underlying behavioral changes that are differentiating SVOD service providers. For instance, are consumers watch similar programs between Netflix and Hulu? Are there overlaps and/or uniqueness in consumer behaviors across these service providers? Answering these and many other questions is at the heart of this study and analysis. Read more

2016
11/19
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David vs. Goliath? Is Over-The-Top Challenging Traditional TV? A Case Study

Abstract:

Over the past few years, we have witnessed an expanding range of viewing devices and new content offerings by online streaming services (such as Netflix, Amazon and Hulu) through over-the-top (OTT) devices. Nearly 20% of U.S. households own at least one OTT device, such as a Roku, Amazon Fire TV, or Apple TV (Park Associates 2015). As these trends keep increasing, there have been debates on whether online streaming will replace traditional (or cable) TV in near future. Furthermore, questions have been raised around whether OTT viewing, via Apps, is cannibalizing or complementing network oriented TV viewing. Does multiple layers of ownership/access (ex: device, App, etc.) in OTT viewing play a role in their viewing/usage behavior to be different from traditional TV viewing? Does these two forms of TV viewership different in terms of types of programs watched, when they are watched, and how often they are watched? These are all questions of great importance to online publishers and advertisers, and, in general, to researchers working with large volume and variety of TV viewing data. Answering these questions is at the heart of this study and analysis. Read more

2016
11/19
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