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18 Dec 2013

2013 Season of Shopping Insights 2: Insights Across America

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Continuing our series on "2013 Season of Shopping Insights," we analyzed shopping behavior in the top 50 cities across the US (including mobile share of views, and mobile share of sales) and uncovered some regional shopping patterns—and anomalies—that may surprise you. Which cities lead the way when it comes to conversion, AOV, and social activity?... View Article

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11 Dec 2013

2013 Season of Shopping Insights: Shoppers Less Responsive to Retailers’ Day-Specific Promotions though Cyber Monday Gains Ground

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As a data-driven company that derives relevant shopping insights  from the billions of shopping sessions we touch each year, we wanted to assemble a series of interesting take-aways that showcase notable trends of the all-important holiday shopping season. Just as the holiday season is about feelings as much as shopping, per se, so too holiday... View Article

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25 Nov 2013

80 Hours of Consumer Innovation: My Weekend with the Pinterest API

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Brad Cerenzia

Working in consumer innovation, I have the unique opportunity—and dilemma—of deciding whether or not to invest my team’s energy on the dozens of brilliant ideas that cross my desk each week. Many ideas are attention grabbing, but don’t drive revenue; others are ridiculously interesting, but unrealistic for any retailer to implement. Rarely is something both... View Article

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23 Sep 2013

Big Data: Principles and Examples Vol. 4

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Darren Vengroff

In this volume, we conclude with Privacy and Security. Privacy and Security For our final examples I want to dig into the notions of privacy and security in big data settings. These are and always will be critical concerns. We begin with financial information and e-commerce. In the early days of Amazon, there were a... View Article

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17 Sep 2013

Big Data: Principles and Examples Vol. 3

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Darren Vengroff

In this volume, we discuss Data Mining and The Birthday Paradox. Data Mining and The Birthday Paradox We've all heard of the Birthday Paradox. Put 23 randomly chosen people in a room and there is a 50% chance that two or more have the same birthday. Put 57 people in the room, and the chance... View Article

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