Personalization and product recommendation systems vendor richrelevance has named Jake Bailey head of advertising. Prior to his new position, Bailey was director of international business and director of marketing at Overstock.com Inc., No. 29 in the Internet Retailer Top 500 Guide.
Bailey will lead richrelevance’s new advertising division, working to help retailer clients achieve higher engagement, increased conversion and stronger customer loyalty.
Have you noticed that, when showing cross-sells and upsells, many ecommerce sites hijack you off the page you’re looking at to view the suggested item, often with no way back to the other page without hitting “back?” Surely this is not the most usable way to suggest products and improve merchandising conversion rate.
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Q: What is different about your product recommendations this year?
A: In the first quarter, we began testing the recommendations space as a way to inform shoppers about products that they might not otherwise find out about through the relevancy algorhithm. Using RichRelevance tools, we increased the amount by which certain items were represented in the recommendations space by 5% to 10%.
by Darren Vengroff
Online product recommendation systems have been around for almost as long as e-commerce. They all share the common goal of recommending items a particular person is most likely to be interested in at a given time. In aiming for this common goal, however, recommendation systems take a wide variety of different approaches.
It’s Amazon’s golden goose: an aureate treasure chest perched on the top of almost every page. The feature, called the “Gold Box,” is a collection of items on sale. It’s one of the most trafficked areas on the site and consistently brings many shoppers back to Amazon every day.
Employees say that what they like about working at Richrelevance is the collegial yet challenging environment that management fosters.
The 4-year-old company ranked No. 1 for employers of 25 to 50 workers and No. 4 overall as a workplace.
E-retailers are better than ever at identifying the type of customer visiting an e-commerce site by browsing and purchasing behavior. And, by comparing her behavior with that of many others, that means they can serve up ever-more-specific, personalized recommendations of products likely to prompt her to click and buy.
Online designer eyeglasses retailer BestBuyEyeglasses.com boosted sales of one of its product lines – Dolce & Gabbana frames – by 21% over a recent four to six week test using a product recommendation strategy that blends personalized product suggestions with business rules, says site principal, Eyal Gutentag.
BestBuyEyeglasses.com uses the product recommendation engine of vendor Richrelevance, which allows the retailer to determine which items are most likely to appeal to a customer, and then adjust how those recommendations are presented according to what the retailer most wants a consumer to do.