Category : Personalized Recommendations

Ecommerce marketers need to optimize their product recommendations strategy. Simply offering suggestions isn’t enough to lift order value if those recommendations aren’t personalized and relevant for each customer. See how an online wine retailer built increased relevance into their product recommendations by considering users’ browsing and buying habits as well as logistical considerations, such as geographic region. Today, 10% of the site’s sales come from these recommendations, and the average value of those orders is 15% higher.

Continue reading at Marketing Sherpa

by Darren Vengroff

Netflix created the $1 million Netflix Prize in 2006 as a way to reward developers of a next-generation film-rating prediction algorithm.

The idea sounded seductively simple: If developers could predict how users would rate a film, they could use that prediction to decide whether it makes sense to recommend the film to them or not.

Continue reading at eM+C

by Darren Vengroff

Online product recommendations have been around for almost as long as e-commerce itself. Most online retailers today offer some type of product recommendations on their sites, with research proving that presenting shoppers with items that fit their interests boosts sales and increases customer satisfaction. But the truth is, many retailers are not doing all they can with recommendations; they plunk them down on product pages, do little to monitor performance, cross their fingers and just hope the recommendations work to boost sales a bit. Often, there is an initial spike in conversion, but performance tends to fizzle out after a few months.

However, there are simple ways to make recommendations work better–proven tactics that not only drive a greater initial lift than standard recommendations, but also create a lasting and sustainable lift over time.

Continue reading at Online Strategies Magazine