If Web 2.0 was 2006's buzzword, we begin to hear much of Enterprise 2.0. To make a long story short, it means using inside an enterprise the successful tools
Welcome to the 4th Viral Video Award: Within the 27th International Short Film Festival Berlin we present 21 virals - enjoy & vote! VOTE YOUR FAVORITE VIRALS! - Voting ends 17th of Nov. 2011.
Unlike a traditional ad network, this one starts with a viral network at its very core. An @earlybird tweet seen by one million followers could be retweeted by just one percent and be seen by an additional 10,000 Twitter users. That's assuming a 1X pass along. Surely, some really good deals will be retweeted 20, 30, or many more times. In other words, @earlybird is, potentially, a very powerful idea.
Now, as Twitter recognized with its first ad-based tweets attempt, this program will only be as successful as the quality of the tweets, and by that I mean the advertising and deals. I assume Twitter has a team working with partners to create incredibly engaging, pithy, powerful, and ultra-attractive 140-character ads—at least I hope it does.
If Twitter's successful, the next phase is obvious: More ad network accounts. Some will be broad like this one. There'll likely be a "supersaver" account that offers really cheap deals. Then Twitter will move to more narrow categories, such as @automotivedeals and @technologyoffers. With each new, successful slice, Twitter ad accounts will get narrower and narrower until Twitter can charge extremely high prices for ultra-vertical ad accounts. Of course, Twitter has to build or acquire the right Twitter account names. Few as good as @earlybird are probably still available.
It all makes sense, but there are issues. First of all, there's the community reaction. Do Twitter users actually want to see ads and deals on the service? The short answer is yes. Look at the success of the Woot Twitter account.
I think these issues are surmountable, but I also believe that Twitter may want to start working with third-party clients to encourage a new Twitter panel for contextual, ad- and partner-driven tweets.
Watch Full Program
01 hr 12 min 07 sec
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01.
Introduction
04 min 40 sec
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02.
Fear of Search Results Exposed
07 min 47 sec
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03.
Privacy in Relation to Culture and Preferences
04 min 12 sec
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04.
Geo Targeting
06 min 15 sec
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05.
Opting Out
04 min 18 sec
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06.
Consent and Self-Regulation
05 min 11 sec
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07.
Google's Approach to Self-Regulation
05 min 20 sec
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08.
Technological Barriers to Regulation
08 min 29 sec
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09.
Ad Preferences / Transparency
04 min 05 sec
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10.
Difficulty of Multiple Platforms
06 min 39 sec
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11.
Solutions: Limitations of Data Retention
10 min 57 sec
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12.
<a clas
Start-ups are always short on time. Here are some tools (products/frameworks/etc) that might avoid you reinventing the wheel and save you some valuable time.