KDnuggets : News : 2008 : n10 : item22 < PREVIOUS | NEXT >

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Subject: Guessing the Online Customer’s Next Want

New York Times, By ERIC A. TAUB, May 19, 2008

Marketers have always tried to predict what people want, and then get them to buy it.

Among online retailers, pushing customers toward other products they might want is a common practice. Both Amazon and Netflix, two of the best-known practitioners of targeted upselling, have long recommended products or movie titles to their clientele. They do so using a technique called collaborative filtering, basing suggestions on customers’ previous purchases and on how they rate products compared to other consumers.

The search for a better recommendation continues with numerous companies selling algorithms that promise a retailer more of an edge. For instance, Barneys New York, the upscale clothing store chain, says it got at least a 10 percent increase in online revenue by using data mining software that finds links between certain online behavior and a greater propensity to buy.

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KDnuggets : News : 2008 : n10 : item22 < PREVIOUS | NEXT >

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