David Selinger, an expert in the field of e-commerce data analytics and personalisation explains why retailers without a personalisation strategy are leaving money on the proverbial table.
Once shunned by online retailers, ads by big brands are starting to appear on retailers’ web pages. And the ads are personalized to shoppers.
by Jake Bailey, Chief Evangelist, RichRelevance
A tremendous shift is taking place in online advertising right now. Google is pushing its display capabilities
to new levels, Project Devil at AOL
LivingSocial, the daily-deal site and Groupon competitor, has started a pilot program that lets customers use their smartphone’s location-sensing abilities to find deals around them.
The service, called LivingSocial Instant, launched today and is initially available only in some neighborhoods of the company’s home base of Washington, D.C. Customers who update LivingSocial’s iPhone or Android app today will see a new category called Instant Deals.
By Jake Bailey, RichRelevance
As online retailers, we’re all too familiar with the reality that conversion rates have remained stagnant at two to three percent throughout the first decade of e-commerce history.
Yet thanks to the abundance of information, tools and features we’ve added to our pages, the path to purchase increasingly begins at the retail website. This increase in site traffic has given us an opportunity most have yet to realize—the introduction of meaningful advertising revenue through shopping media.
This week, Greg Linden noticed a conference paper that reveals that YouTube is using Amazon.com‘s recommendation engine to power its own recommendations. Last week, Fast Company ran an article about how a former Amazon.com engineer is trying to help discover a better recommendation engine than his former employer. And we rediscovered a tutorial from way back in December of 2010 on how to get your hands dirty building your own recommendation system using NumPy.
David “Selly” Selinger is CEO of RichRelevance, an e-Commerce personalization technology company.
AdExchanger.com: Why do you call RichRelevance “the intersection of e-Commerce and Madison Avenue”?
DS: Large retail sites represent the last frontier for ultra-premium ad inventory that brand advertisers have historically not had access to. RichRelevance is empowering our enterprise-class retailer customers including Target and Overstock.com to create incremental streams of revenue by providing premium advertisers access to engaged consumers on shopping media (relevant retail sites) closest to the point of purchase.
RichRelevance, a provider of e-commerce personalization for retail, today introduced RecLab, a new open-source project designed to spur innovation in retail personalization. RecLab enables academics, researchers and developers to dynamically test and validate their recommendation algorithms in a live e-commerce environment. Traditionally, researchers have had to work with isolated data sets in order to protect sensitive consumer data.