Social Computing Journal
Save   Register Now & Subscribe to the SCJ Newsletter!
 
  TOPICS
    Blogs & Blogging
    Collaboration Tools
    Conferences
    CXO Viewpoint
    e2tv
    Enterprise 2.0
    From the Editor
    Government 2.0
    Lifestreaming
    Mashups
    Mobile Web 2.0
    Opinion
    SCJ Feature
    SCJ News
    Semantic Web
    Social Networking
    Tagging
    Virtual Worlds
    Web 2.0 Startups
    Web Video
    Wikis
    Wisdom of Crowds
      Feed
  CALENDARS
    Upcoming Events
    Forthcoming Books
  COMMUNITY
    Main Board
    Off-Topic Board
  SOCIAL MEDIA
    Bloggers
    Mailing Lists
    Photofeeds
    SoC Bibliography
    SoC Lexicon
    Video Sharing
    Virtual Worlds
    Who's Who
    Wikis
  SITE FEATURES
    Your Settings
  ABOUT US
    Advertising Info
    Contact Us
    Editorial Board
    Forgot Login?
    Submit News
Humanizing Social Networks: Revealing the People Powering Social Media
Feedback   Author Bio   Printer-Friendly   E-Mail Article
Enter Your E-Mail Address:  

Sunday, April 12, 2009; Posted: 11:38 PM - by Brian Solis

Humanizing Social Networks: Revealing the People Powering Social MediaSocial Networks are among the most powerful examples of socialized media. They create a dynamic ecosystem that incubates and nurtures relationships between people and the content they create and share.

As these communities permeate and reshape our lifestyle and how we communicate with one another, we're involuntarily forcing advertisers and marketers to rapidly evolve how they vie for our attention.

Facebook, MySpace, Twitter, Yelp, and other online communities transformed the regimen and practice of marketing "at" people into an opportunity to engage and interact with us ? on our terms. It is the zeitgeist of socialized media and it's manifesting into an obsession for branding, advertising, "viral," marketing, and communications experts and professionals worldwide.


Compete: Top 25 Social Networks But, the people who define each network are reticent to the hollow attempts of faceless friending and in-network marketing. Many businesses are building social channels to broadcast messages in a one to many, top-down practice that not only prevents relationship building, but impedes any hope of cultivating communities and empowering brand ambassadors.

As marketers, it's your responsibility to peel back the layers of each network to observe and eventually interact with the very people you wish to reach. Each network possesses a vibrant culture and ecosystem that is powered by context and connected by influential social graphs.

While nothing beats anthropological fieldwork and observation, let's take a look at numbers behind the top social networks to get a better picture of network engagement and user demographics. Remember, it's how you interpret these numbers combined with an understanding of the real world needs and experiences of the people you're attempting to engage that determines the success or failure of your social media program. They are not demographics, they are not statistics, they are not avatars, nor are they waiting with baited breath for you to friend or market at them and their network friends. This data represents whole numbers and is not representative of the individuals that are looking for resources and guidance, and in turn, will help you participate as a community member, and not as a traditional marketer.

So, how will you use this information to engage more effectively and genuinely?

Unique visitors provided by compete. All remaining numbers provided by Google Ad Planner.

Facebook

30-day traffic, Country, Worldwide

Unique Visitors - 73 M, 250 M
Reach - 31.5%,18.1%
Page views - 22 B, 84 B
Total visits - 1.5 B, 4.5 B
Avg visits per visitor ? 21,18
Avg time on site - 1100s, 1200s



Gender


Age


Household Income


Children in Household


Education


Twitter

30-day traffic, Country, Worldwide

Unique Visitors - 5.1 M, 13 M
Reach- 2.2%, 1.0%
Page views - 410 M, 660 M
Total visits - 52 M, 90 M
Avg visits per visitor -10, 6.9
Avg time on site - 780s, 740s



Gender


Age


Household Income


Children in Household


Education


Digg

30-day traffic, Country, Worldwide

Unique Visitors - 7.5 M, 21 M
Reach - 3.2%, 1.5%
Page views - 190 M, 310 M
Total visits - 41 M, 68 M
Avg visits per visitor - 5.5, 3.2
Avg time on site - 460s, 430s



Gender


Age


Household Income


Children in Household


Education


MySpace

30-day traffic, Country, Worldwide

Unique Visitors - 67 M, 130 M
Reach - 28.9%, 9.4%
Page views - 47 B, 57 B
Total visits - 1.3 B, 1.7 B
Avg visits per visitor -19, 13
Avg time on site - 1500s, 1400s

Gender


Age


Household Income


Children in Household


Education


Ning

30-day traffic, Country, Worldwide

Unique Visitors - 4.2 M, 13 M
Reach - 1.8%, 1.0%
Page views - 280 M, 600 M
Total visits - 21 M, 47 M
Avg visits per visitor - 4.9, 3.6
Avg time on site - 820s, 840s



Gender


Age


Household Income


Children in Household


Education


LinkedIn

30-day traffic, Country, Worldwide

Unique Visitors -11 M, 26 M
Reach - 4.8%, 1.9%
Page views - 500 M, 880 M
Total visits - 48 M, 84 M
Avg visits per visitor - 4.4, 3.2
Avg time on site - 560s, 550s



Gender


Age


Household Income


Children in Household


Education


Viddler

30-day traffic, Country, Worldwide

Unique Visitors - 350 K, 1 M
Reach - 0.2%, 0.1%
Page views - 3.8 M, 7.4 M
Total visits - 960 K, 2 M
Avg visits per visitor - 2.80, 2
Avg time on site - 580s, 520s



Gender


Age


Household Income


Children in Household


Education


Scribd

30-day traffic, Country, Worldwide

Unique Visitors - 4.3 M, 31 M
Reach -1.8%, 2.3%
Page views- 26 M, 130 M
Total visits - 9.2 M, 41 M
Avg visits per visitor - 2.1,1.3
Avg time on site - 260s, 310s



Gender


Age


Household Income


Children in Household


Education


Upcoming.org (these stats need verification)

30-day traffic, Country, Worldwide

Unique Visitors - 3.3 K, 7 K
Reach - 0.0%, 0.0%
Page views -11 K, 22 K
Total visits - 5.8 K, 11 K
Avg visits per visitor - 1.8, 1.5
Avg time on site -100s, 120s



Gender


Age


Household Income


Children in Household


Education


Delicious (Factor the switch from del.icio.us to delicious.com)

30-day traffic, Country, Worldwide

Unique Visitors - 1.4 M, 5.2 M
Reach - 0.6%, 0.4%
Page views - 26 M, 68 M
Total visits - 6.2 M, 16 M
Avg visits per visitor - 4.4, 3.2
Avg time on site - 380s, 410s



Gender


Age


Household Income


Children in Household


Education


Ustream

30-day traffic, Country, Worldwide

Unique Visitors - 4.8 K, 11 K
Reach - 0.0%, 0.0%
Page views - 23 K, 36 K
Total visits - 16 K, 27 K
Avg visits per visitor - 3.3, 2.40
Avg time on site - 290s, 240s



Gender


Age


Household Income


Children in Household


Education


Qik

30-day traffic, Country, Worldwide

Unique Visitors - 91 K, 240 K
Reach - 0.0%, 0.0%
Page views - 1.1 M, 2.1 M
Total visits - 230 K, 500 K
Avg visits per visitor - 2.6, 2.1
Avg time on site - 420s, 420s



Gender


Age


Household Income


Children in Household


Education


Friendfeed

30-day traffic, Country, Worldwide

Unique Visitors - 520 K, 2.2 M
Reach - 0.2%, 0.2%
Page views - 11 M, 37 M
Total visits - 2.3 M, 7.6 M
Avg visits per visitor - 4.4, 3.4
Avg time on site - 540s, 560s



Gender


Age


Household Income


Children in Household


Education


Docstoc

Unique Visitors - 690 K, 1.8 M
Reach - 0.3%, 0.1%
Page views - 5.1 M, 10 M
Total visits - 1.3 M, 2.6 M
Avg visits per visitor, 1.9, 1.5
Avg time on site - 290s, 300s



Gender


Age


Household Income


Children in Household


Education


Yelp

Unique Visitors - 6.7 M, 8.1 M
Reach - 2.9%, 0.6%
Page views - 89 M, 97 M
Total visits - 19 M, 20 M
Avg visits per visitor - 2.80, 2.5
Avg time on site - 360s, 350s



Gender
Age
Household Income
Children in Household
Education


YouTube



Stats are not readily available. Information sourced from Quantcast.

YouTube has in excess of 258 million users, half of which visit at least weekly.
An average of 100 million videos are viewed every day. Comscore estimates the number of uploaded videos at 5 billion. Wikipedia states that 13 hours of video is uploaded to YouTube every minute.




Originally published on PR 2.0.

Your Feedback:
Become part of the community, join the discussion...
blog comments powered by Disqus

Author Bio:

Brian Solis is Principal of FutureWorks, an award-winning PR agency in Silicon Valley. Solis blogs at PR2.0, bub.blicio.us, and regularly contributes PR and tech comments and articles to industry sites and publications. Solis is co-founder of the Social Media Club, is an original member of the Media 2.0 Workgroup, and also is a contributor to the Social Media Collective.


Past Articles by This Author:

HOT STORIES THIS WEEK
The False Question Of Attention Economics
When Will 'Social Business' Become Social Change Business?
  ADVERTISEMENT
Hinchcliffe & Company - Pragmatic Enterprise 2.0 Consulting, Strategy, and Implementation for Social Media and Social Computing
  SCJ NEWS DESK
The DoD Pushes For Pervasive Social Collaboration
Government 2.0 Offers 'Unprecedented Opportunity' Says Task Force
How Social Computing Will Improve the Enterprise Value Chain: 8 Predictions
McAfee says Enterprise 2.0 is 'vital' to business; de-emphasizes 'social'
Tibco Introduces a New Social Computing Tool Called 'tibbr'
New Series Explores Enterprise Mashups, Open Standards, and IT Innovation
Andrew McAfee's Enterprise 2.0 Book Is Delayed By Six Months
New Study Finds Grassroots Enterprise Social Media Often Works Best
Web 2.0 University Week Coming to Las Vegas in October 2009
New Collaborative Research and Innovation Tool for Scientists Unveiled
  ADVERTISEMENT
  QUICK POLL
What is your favorite/most highly valued social networking tool for business?
LinkedIn
Digg
Delicious
Twitter
Facebook
Blogs

Contact us. All Materials Creative Commons (CC)2007-2010 Social Computing Journal.
This site is optimized for 1024x768 and higher resolutions. Privacy Policy.