Twitter and Ambient Suggestions
By Brooks Jordan | December 8, 2008
Ad agencies like Publicis are working hard to redefine advertising and marketing, but one can bet that innovation that really changes the game is going to pop-up at some smart, little company in an unexpected way.
Maybe that’s what Tim Hanlon at VivaKi, the investment unit of Publicis, is thinking, too, when he says:
I think it’s clear that the traditional process of agencies is clearly not going to survive the digital era without significant changes to our approaches.
Twitter? That could be. Because what changes the game is advertising that is consistently worth my time, your time.
Nick Bilton, who is working on this sort of thing at NYTimes, points out that when you use Twitter a stream of tweets follow you that give very specific information about what you care about (e.g., coconut milk-based ice cream).
And as importantly, the people around you (your followers, people using the same keywords, close geographically, etc) have a tweet stream that is relevant to yours (e.g., they like mint chip coconut milk-based ice cream).
Nick gives an example:
If I send a tweet saying “I’m looking for a new car does anyone have any recommendations”, I would be more than happy to see ‘smart’ user generated advertising recommendations based on my past tweets, mine the data of other people living Brooklyn who have tweeted about their car and deliver a tweet/ad based on those result leaving spammers lost in the noise. I’d also expect when I send a tweet saying ‘I got a new car and love it!’ that those car ads stop appearing and something else, relevant to only me, takes it’s place.
In other words, if Twitter could surface these “likes” and the related and relevant “likes” from those in your Twitterverse, then they could give you what are really more suggestions, and even the occassional full-blown recommendation, in your stream of @replies.
It wouldn’t feel like advertising as we know it now, these type of ambient suggestions, and that’s exactly why it would be a significant change.
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