News & Press

Managing Machine Learning: How to Bridge the Man/Machine Divide

November 22, 2013

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The idea of "learning computers" that become smarter with more time and information used to be confined to the realm of sci-fi or the most cutting-edge technology projects. But fact has caught up with fiction; machine learning is transforming both large and small businesses that want to take advantage of reams of data at their disposal.

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The Rise of Mobile Commerce, and the Benefit to Marketers

November 21, 2013

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Now that consumers can make online purchases anytime, and in any place that has a mobile signal or wifi, the most successful companies are optimizing their mobile platforms to meet their customers’ needs. Only a few years ago, retailers were beginning to think email marketing was a dying approach, but the recent boom in M-commerce is proving quite the opposite.

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How E-Commerce Changed Our Lives Forever

November 13, 2013

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The most successful e-commerce websites are designed to define clients' needs and expectations, then exceed them by delivering an impeccable online experience. From data management systems to mobile and social optimization, all aspects of e-commerce come together toward a single goal: satisfy the client and earn his loyalty.

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Omnichannel is the Future of Retailing and it Includes Print Catalogues

November 12, 2013

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Earlier this year two studies demonstrated that print catalogs were far from dead in the digital water. New research from management consulting firm Kurt Salmon reveals that even after a year of mobile and social media onslaught, the print catalog is alive and kicking and being read.

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How E-commerce Retailers Can Better Leverage Data

October 30, 2013

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The U.S. Department of Commerce recently announced that e-commerce sales were up 18.4 percent in the second quarter of 2013 compared to the same time last year, the largest year-over-year increase since before the 2008 financial crisis. As economic optimism spreads and consumers begin to open their wallets, retailers are investing in the technology they need to stay competitive.

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Solving the Shopper’s Puzzle

October 29, 2013

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Effective personalization goes beyond the product page and builds on shoppers’ cues.

Personalization is like a jigsaw puzzle: There are a lot of pieces, but when put together correctly, consumers see a shopping experience customized to their preferences and are led to products that, more often than not, they purchase.

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Moving from Retargeting to Pretargeting

October 15, 2013

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Number 2 is offer recommendation. You have decided to buy something, and now you are choosing between several similar products. There are a few different approaches to this, some completely statistical (eg collaborative filtering – “people like you also liked”) and some built from rules on your unique profile.

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Big Data Bias Syndrome: Don’t Be a Victim!

October 10, 2013

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If the pundits are to be believed, big data is the retailer's nirvana, telling you the exact profile that will buy a specific product at a specific time of day through a specific channel at a specific price. There is, to be sure, more than a grain of truth in that, but the path from data collection to customer fulfillment is fraught with potential pitfalls. As anyone who has had experience with Google's AdWords’ algorithms can attest, one wrong assumption can easily send you wide enough of the target to lose tens of thousands of dollars in sales, which would be a huge setback for most retailers.

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What's in Store for the 2013 Holiday Shopping Season?

September 25, 2013

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Although there were a few memorable highlights in the busiest shopping period of 2012, last year's holiday season will not go down in the history books as one of the most successful for retailers. What can retailers expect this year, and how can they prepare now?

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Big Data without Big Headaches

September 18, 2013

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While "big data" is certainly a popular topic, retailers of all sizes struggle to understand exactly what big data is and how to use it to improve their bottom line. Many assume big data is a black box that churns out valuable insights that are then massaged into charts and graphs. Not so. Big data is a game changer that allows retailers to harness all accessible information on customer shopping behaviors and turn it into insight.

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