1 post tagged “tv”

Viral_social marketing

The latest special print issue of MIT's Technology Review has an article on visualizing "Better Friends" by Erica Naone. Apart from the visuals of the blogosphere, Twitter and others, the one that caught my eye was the visual on viral marketing - something very relevant and dear to me.

Furthermore, being deep into social media, networks and user-generated content -  the last line of the paragraph below hit home for me. I used to listen and learn from many top social networkers/producers until I noticed that I started shutting myself out with many - they have lost their influence with me. They are all the time selling products and services with the sole cause of their own popularity. They do not evangelize - they sell. Popularity is their focus - not their collateral success. One erodes the social equity built over time and involvement. Many have have many friends today online but then there is a social connection/equity even with your audience/readers/followers - the mind is fickle with all the noise and the "new new things" and "new new people" coming out everyday.

The web is becoming social - from a network of servers and pages, its becoming a network of people. We are the carriers - we consume from each other (not just reporters), we produce and we distribute.

The full article is here and the piece on viral marketing from the article below:

Viral_social marketing1

"Several years ago, a large retailer tried to encourage word-of-mouth marketing for products sold on its site byoffering incentives to site visitors who made product recommendations. Many companies are trying to use people's social connections for such "viral marketing" programs, hoping that information about products (and the urge to buy them) can spread through a network of people the way a virus might. But after studying more than 15 million recommendations generated by the retailer's incentive program, a team made up of Jure Leskovec, Lada Adamic, and Bernardo Huberman, director of the information dynamics lab at Hewlett-Packard, was skeptical. Huberman and his colleagues looked at the networks that grew up around each product--who bought and recommended it, and who responded to the recommendation--and saw that they took on different characteristics depending on the type of product. A network around a medical book (top image below), where red dots and lines indicate people who purchased the book while blue dots and lines represent people who received a recommendation, shows a scattered network where recommendations, on average, don't travel very far. The network surrounding a Japanese graphic novel (bottom image below), on the other hand, shows a thick flow of information among densely connected people. The researchers found that viral marketing was most effective for expensive products recommended within a small, tightly connected group. They also found that overusing consumers' social connections for marketing can make them less influential."