Firebelly
SEPTEMBER 17, 2010
Digitalia | Indianapolis Social Media Marketing « Branding Outside The Box | Main September 17, 2010 Greenpeaces Unfriend Coal Campaign Calls Facebook A "So Coal" Network Greenpeace rolled out the Unfriend Coal Campaign after Facebook chose coal to power its data center in Oregon.
Firebelly
AUGUST 18, 2010
Learn how to make data-driven decisions about content by using Insights, launch "legal" contests and promotions via the Wildfire application, and create an engaging landing tab for your Page with Static FBML. You can find Firebelly speaking at the following sessions.
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Harp Interactive
FEBRUARY 9, 2010
cross-post your updates to Jaiku and many other sites like Facebook , MySpace , LinkedIn and more via Ping.fm. It works over the data network, so you don’t need to use SMS. Some of twhirl’s features: runs on both Windows (2000/XP/Vista/Win7) and Mac OSX. displays notifications for new messages. post images to yfrog.
Firebelly
DECEMBER 14, 2009
What will you do with the data collected? How will you measure? What What metrics are appropriate for your campaign and what do they tell you? How How will you gather information? What Are you currently listening to what is being said about your firm, brand(s) and/or product(s)?
Firebelly
JANUARY 22, 2010
By Mia Dand The popularity of advertising on social networks is primarily based on the notion that sites like Facebook have a great deal of data on their users and this information can be exploited to deliver highly targeted ads to its huge user base. Is Advertising on Facebook Really Effective? In theory, it makes a great deal of sense.
Firebelly
MARCH 17, 2010
I will share that data in my next post. This report from Chadwick Martin Bailey and iModerate also explored why people become fans in the first place. The results were interesting, although not surprising. Chad Richards is the Social Program Manager at Firebelly Marketing.
Firebelly
JANUARY 29, 2010
Data Shows That Social Behavior Gets More Followers By Dan Zarrella The linguistic analysis engine behind TweetPsych has given me a bunch of cool data points to analyze, so I’ve begun to look at various factors and their relationship with follower counts.
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