Journal of Interactive Marketing

With the explosive growth of online user-generated content and the desire by marketers to better utilize this space, it is beneficial to understand the viral diffusion of such content and to identify messages that are most likely to achieve popularity. In this paper, we combine network analysis and the diffusion literature to study the spreading of user-generated videos online. We identify three groups of factors that affect diffusion outcomes: network structure, content characteristics, and author characteristics. Using a proportional rates model, we analyze the diffusion of a sample of videos on YouTube. Our results show that it is preferable to have many subscribers who each has a few friends than to have a few subscribers with many connections. Furthermore, a curvilinear relationship exists between subscriber network connectivity and diffusion rate such that diffusion is at its highest under moderate connectivity. Examining content characteristics, we show that entertainment and educational values affect diffusion but production quality does not matter. Moreover, we find that quality as manifested by user ratings influences diffusion more than innate content quality. Not surprisingly, an author's past success carries over to the current content, and content from younger authors is more popular.

Social media outlets constitute excellent vehicles for fostering relationships with customers. One specific way to do this is to create brand fan pages on social networking sites. Companies can place brand posts (containing videos, messages, quizzes, information, and other material) on these brand fan pages. Customers can become fans of these brand fan pages, and subsequently indicate that they like the brand post or comment on it. This liking and commenting on brand posts reflects brand post popularity. In this article, we determine possible drivers for brand post popularity. We analyze 355 brand posts from 11 international brands spread across six product categories.

Results show that positioning the brand post on top of the brand fan page enhances brand post popularity. But the findings also indicate that different drivers influence the number of likes and the number of comments. Namely, vivid and interactive brand post characteristics enhance the number of likes. Moreover, the share of positive comments on a brand post is positively related to the number of likes. The number of comments can be enhanced by the interactive brand post characteristic, a question. The shares of both positive and negative comments are positively related to the number of comments. Managers of brands that operate brand fan pages can be guided by our research with regards to deciding which characteristics or content to place at brand posts.

Changing consumer preferences, entry of new competitors with better products, and product improvements by existing competitors make new products a necessary investment for most companies. In addition to the investments in R&D and production of new products, firms also need to invest in advertising to promote them. The growing use of social media by consumers therefore makes online consumer conversations an attractive additional format for firms to promote products at a lower cost. This is particularly so in the automobile industry where advertising costs are very high. Whether consumers discuss a newly introduced product, and help to promote it, however, may depend on how new the product is. This is the question that we investigate in the context of the automobile category. Specifically, we examine whether online consumer conversations are more likely for new models (e.g., Chevy Volt introduced in 2010) or redesigns of existing models (e.g., the redesign of Chevy Impala in 2010). We use data from two online sites where consumers discuss automobiles – consumerreports.org and edmunds.com – for our analysis. Our empirical investigation also accounts for the effects of sales on word of mouth and the simultaneity between sales and word of mouth. Additionally, we also consider the effect of satisfaction on word of mouth and the endogeneity of satisfaction. Our results across two datasets suggest that redesigns stimulate significantly more conversations than new models. Managerial and research implications of the findings are discussed.

This study tests hypotheses regarding differences in brand-related user-generated content (UGC) between Twitter (a microblogging site), Facebook (a social network) and YouTube (a content community). It tests them using data from a content analysis of 600 UGC posts for two retail-apparel brands (Lululemon and American Apparel), which differ in the extent to which they manage social media proactively. Comparisons are drawn across six dimensions of UGC; the dimensions were drawn from a priori reading and an inductive analysis of brand-related UGC. This research provides a general framework for comparing brand-related UGC, and helps us to better understand how particular social media channels and marketing strategies may influence consumer-produced brand communications.