I think the business model at Twitter is going to be really, really interesting, and I think it’s going to leverage search, but search as a proxy for data and pattern recognition. We get an inkling of it at Election 2008, Twitter’s mashup of Tweets relating to the election, but there’s a lot more to think through. First off, Twitter is using its real estate to promote its deal with Current, which is a first, from what I can tell. The “ads” are on the right, right below each users’ profile. I remember covering every new pixel as the Google homepage caved to promotional reality, it’s interesting to watch it happen at Twitter, too, which I think has a lot of similarities to Google in terms of potential models.
Also worth watching is the hash function, where you can tag any topic (IE #redsox, as Churbuck pointed out). This function is not likely to catch on with my mother (I can’t imagine her adding hashes to her tweets, much less tweeting…yet), but what it enables certainly could. The problem is, when you create a site to pull hashed stuff out into a stream the result is often less than useful (as Churbuck noted in his post).
This is where the role of curation and editors is paramount. Voice, as Fred pointed out. There is voice in editing, voice in curation. And voice adds value. And where value is added, marketers can play, both on Twitter (imagine a cars.twitter.com, with auto advertisers on the right rail and at the top, perhaps using contextual TweetSense – yes, it’s owned, by…), and off (think about a feed of contextual Tweets and TweetSense next to conversational sites like Digg and, well, millions of others, as well as sites created simply from Twitter feeds on popular hashes…).
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