What this tells us is that data mining is changing politics and the Obama campaign micro-targeted potential supporters. Take this example: a contest to dine with Sarah Jessica Parker in her New York home targeted a small selection of people who have an affection for competitions who also like small dinners and are attracted to celebrities in order to raise funds. Such a group exists -- and has deep pockets. Everything about a person that can be measured, was measured and, combined with predictive analytics, allowed the campaign not only to find voters but also to determine what sorts of messages would get their attention and what types of people would be persuaded by certain types of messages.
The entire volunteer system of the Obama campaign, a not inconsiderable number of people, was also carefully parsed and call lists allocated based on likelihood to match. Call lists ranked names in order of persuadability; 75 per cent of data covered basics such as gender, age, address and voting record, but an additional 25 per cent of consumer data allowed them to predict who was going to make a donation online, who would do it by mail, or who would become a volunteer.
When the campaign felt it had sufficient momentum with galvanising supporters, it turned to fundraising, and then to voter turnout. Every single night, the team ran 66,000 computer simulations going over how the elections might pan out in order to find the optimum breakdown. Such exercises turned them onto avenues they hadn't taken, such as Reddit, a social news website.
This was also the first time that cloud computing played a big role in the campaign: the Obama team ran their data mainly using Amazon Web Services and used open source software and Amazon services to inexpensively write or tailor their own programmes.
Team Obama's experience will tell you that David beat Goliath -- it wasn't the super-expensive ads on the national networks that won the election, but the very careful micro-targeting of messages tailored to each reader. The campaign messages were directed differently at siblings and spouses.
And this is something that corporate marketers and CIOs can replicate very easily. If, predictive analytics and data processing is taking some of the magic out of democracy -- will the same concepts applied to consumer mean the end of free will?
About the Author:
Mike Lynch is the founder and former CEO of UK software company Autonomy
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