It is possible to relate an individual’s behavior and his or her social contacts. There are a few startup companies already using that strategy, and calling it social targeting. Advertising would be even more effective if social signals are used alongside behavioral targeting. This is the summary of a behavioral targeting study by Kun Liu and Lei Tang. You an get the pdf of the behavioral targeting article here: Large-Scale Behavioral Targeting with a Social Twist.
This is the summary of an article by Sitaram Asur and Bernardo A. Huberman. This paper shows how content in social media can be used as a real-world outcome predictor. Twitter.com’s chatter was used to predict movie box-office revenues. The authors created a simple model from tweet rate about certain topics that actually performed better than market-based predictors. Furthermore, Twitter sentiments were also shown to help improve the predicting power of social media. You can get the pdf of the behavioral targeting article here: Predicting the Future With Social Media.
This is the summary of an article by Nick Hafele. You can download the word document of the behavioral targeting article here: Social Media Marketing: Interactions, Trends and Analytics.
This is the summary of an article from Spring Metrics. Here’s the link to the original article: Behavioral Targeting And Social Media
This video from Youtube is about social marketing strategies and how you can use the power of Facebook, Twitter and all those other social networks to drive people to your blog. Perry Belcher also explains why making friends is so important in today’s online business world.
This is the summary of an article by Diego Vasquez. You can get the pdf of the behavioral targeting article here:Behind the Huge Growth of Social Media.
Ad spending and social media will grow tremendously over the coming years. By 2015, spending for ads will quadruple since last year’s 2.1 billion dollars, to the new value of 8.3 billion dollars. The display ad category will play the largest role in that humongous rise, and 34 percent of that category comes from impressions made in social networking sites, with the largest contributor being Facebook, of course. In the long run, LinkedIn and Twitter may become bigger players as well.
Many young adults love hanging out in Facebook, Myspace, or other social networking sites. These users share personally identifiable information to a personal profile, which is like their own web page, usually posting information related to their demographics, contacts, and name. This article is the summary of a study written by Mariea Grubbs Hoy and George Milne about the gender differences regarding online privacy among 18 to 24 year olds, and the use of personal information beyond social connection purposes. You can get the pdf of the behavioral targeting article here: Gender Differences in Privacy-Related Measures For Young Adult Facebook Users.