vendredi, avril 10, 2009

You Liked This Product. Now What?

Product recommendation is one of the most elusive--and potentially profitable--forms of merchandising online, where consumer behavior can bring in reams of data about the way people shop. But figuring out what to do with that data, and how to present what you learn, is a psychological challenge all its own.

No company has tackled personalized recommendations on a larger scale than Amazon, which has a 100-person team devoted solely to suggesting other products its customers might like. So the small-but-influential world of personalization paid attention when Amazon's head of personalization from 2003-2004, David Selinger, left for Overstock, and learned to leverage impulse deal-buying as well as a big back catalog of products. After over a year at Overstock, Selinger left to co-found a company called RichRelevance in 2006, which would take what he had learned and turn it into an algorithmic tool he could sell.

The problem is that online customers are a particular and fickle bunch: even if you serve them up interesting product suggestions, you can still fail to get a good conversion rate if you don't present the suggestions in a palatable but unobtrusive way. Do it right, and you can increase sales by 25%, as Amazon did under Selinger. Do it wrong, and you can alienate people or even piss them off.

Source : FastCompany