Amazon has been recommending products based on past purchase and browse data for some time. More recently, Facebook has been suggesting users who you may want to add as friends. Now twitter is adding a suggestions for you feature based on the people you follow. A few more details from Techcrunch.
Jul 31
Jul 29
Another reason to check in on your Facebook profile security settings… A security specialist at SkullSecurity.com has created a torrent containing the public data for 100+ million Facebook users and is widely distributing it. While there’s nothing wrong with this since all the info is public, it does cause one to thing about what can be done with all the information that many users are exposing. Check out the Techcrunch article.
Jul 01
Check out this GigaOm article talking about the challenges of finding patterns within the mass of social data being generated.
Oct 16
Marketing departments everywhere are constantly talking about various ways to segment their databases in ways to make them more effective. Now the idea of segmentation is appearing in social networking. This article discusses segmentation methods in Facebook, Twitter, and Linkedin.
Jul 31
Tagged with: facebook
Jun 09
Socrata.com is a new site that allows users to share public data sets and build a community around them.
Jun 01
Inside Facebook has a review of Omniture’s new tool for analyzing use of an application on Facebook. This new tool will give marketers insight into who is using their Facebook apps and how they share the apps with their friends. App Measurement for Facebook is an add-on to Omniture’s SiteCatalyst product.
May 21
Check out the Harvard Business School working paper about the influence of friends from social networks on purchasing.
May 10
While definitely not the final word on the subject, the IAB has recently published “Social Media Ad Metrics
Definitions.” The document specifies metrics for social sites, blogs, widgets, and other social applications.
Mar 08
Check out Twist to see what the current trends on Twitter are. Here’s an example chart for the word “shopping” that shows relatively consistent levels over the week with an increase starting on Thursday and reaching a peak on Friday.
